magnet:?xt=urn:btih:F99AB3895B1AB1E294793F19BDC2EDF421C85ACD
[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/005 Stochastic gradient descent implementation I.mp4 111.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/008 ADAGrad implementation.mp4 67.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/017 Sorting.mp4 53.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/002 Gradient descent implementation.mp4 49.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/016 Sets in Python.mp4 49.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/003 Positional arguments and keyword arguments.mp4 48.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/011 ADAM optimizer implementation.mp4 45.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/005 DataFrame operations.mp4 43.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/006 Stochastic gradient descent implementation II.mp4 43.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/013 Comparing objects - overriding functions.mp4 42.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/12 - #3 Challenge - Monte-Carlo Integration/002 Monte-Carlo integral implementation I.mp4 41.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/006 Lists in Python - advanced operations.mp4 41.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/001 What is interpolation.mp4 40.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/015 Dictionaries in Python.mp4 40.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/008 PageRank algorithm - the final formula.mp4 39.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/001 How to measure the running time of algorithms.mp4 39.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/004 Stochastic gradient descent introduction.mp4 38.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/003 Dimension of arrays.mp4 38.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/05 - Gauss Elimination Implementation/001 Gaussian elimination implementation I.mp4 37.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/008 What is recursion.mp4 37.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/007 Reading CSV and text files.mp4 36.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/012 What are linked list data structures.mp4 36.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/004 Euler's method example - pendulum.mp4 35.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/006 Reshape.mp4 35.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/002 Creating and updating arrays.mp4 35.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/003 Using the constructor.mp4 35.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/010 Polymorphism and abstraction example.mp4 34.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/008 Operations.mp4 34.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/004 Indexes and slicing.mp4 33.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/009 How to use multiple conditions.mp4 32.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/004 Class variables and instance variables.mp4 32.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/014 Hashing and O(1) running time complexity.mp4 32.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/004 Interpolation implementation II.mp4 32.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/010 Using the apply() function.mp4 32.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/12 - #3 Challenge - Monte-Carlo Integration/001 What is the Monte-Carlo method.mp4 31.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/05 - Gauss Elimination Implementation/002 Gaussian elimination implementation II.mp4 31.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/005 Matrix representation of the problem.mp4 30.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/006 Speed comparison - DataFrame operations.mp4 30.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/004 Strings.mp4 29.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/001 What is gradient descent.mp4 29.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/007 Stacking and merging arrays.mp4 29.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/02 - ### NUMERICAL METHODS ###/004 Speed consideration - C, Java and Python.mp4 28.8 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/009 Data filtering.mp4 28.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/003 Running time analysis of matrix multiplication.mp4 28.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/003 Series.mp4 28.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/012 What is vectorization.mp4 27.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/003 Interpolation implementation I.mp4 27.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/002 Crawling the web with breadth-first search.mp4 27.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/001 What is Pandas.mp4 26.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/005 String slicing.mp4 26.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/001 Graph representation of the WWW.mp4 26.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/003 What are array data structures I.mp4 26.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/004 What are array data structures II.mp4 26.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/004 PageRank algorithm example.mp4 26.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/12 - #3 Challenge - Monte-Carlo Integration/003 Monte-Carlo integral implementation II.mp4 25.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/001 How to deal with differential equations.mp4 25.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/007 Runge-Kutta method example I.mp4 25.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/02 - ### NUMERICAL METHODS ###/001 Floating point numbers.mp4 25.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/013 Doubly linked list implementation in Python.mp4 25.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/003 Bisection method implementation.mp4 25.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/007 Lists in Python - list comprehension.mp4 24.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/003 Rectangle method implementation.mp4 23.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/008 Runge-Kutta method example II.mp4 23.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/013 Vectorization example I.mp4 23.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/007 What is ADAGrad.mp4 23.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/011 Modules.mp4 22.8 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/005 Lists in Python.mp4 22.8 MB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/009 Power method.mp4 22.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/007 The super keyword.mp4 22.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/009 What is polymorphism.mp4 22.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/014 Vectorization example II.mp4 21.8 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/007 Operators.mp4 21.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/002 Matrix multiplication implementation.mp4 21.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/007 Simpson's method implementation.mp4 21.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/015 Break and continue.mp4 21.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/003 Gradient descent with momentum.mp4 21.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/04 - Linear Systems and Gaussian Elimination/003 What is pivoting.mp4 20.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/003 Euler's method example.mp4 20.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/006 Lists and NumPy arrays.mp4 20.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/005 Types.mp4 20.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/005 Private variables and name mangling.mp4 20.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/009 What is RMSProp.mp4 20.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/004 Trapezoidal integral introduction.mp4 20.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/011 Loops - for loop.mp4 19.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/002 Defining functions.mp4 19.8 MB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/006 The random surfer model.mp4 19.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/011 Mutability and immutability.mp4 19.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/004 DataFrames.mp4 19.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/006 Yield operator.mp4 19.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/008 Function (method) override.mp4 19.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/002 Rectangle method introduction.mp4 18.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/006 What is inheritance in OOP.mp4 18.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/008 Conditional statements.mp4 18.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/003 The original formula.mp4 18.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/011 Speed comparison - loops and apply().mp4 18.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/005 Trapezoidal integral implementation.mp4 18.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/010 Logical operators.mp4 18.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/001 What are functions.mp4 18.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/001 What is the key advantage of NumPy.mp4 18.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/04 - Linear Systems and Gaussian Elimination/001 What is Gaussian elimination.mp4 17.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/006 Type casting.mp4 17.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/005 Inner product.mp4 17.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/004 Newton method introduction.mp4 17.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/005 Euler's method example - pendulum with drag.mp4 16.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/005 Newton method implementation.mp4 16.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/002 What are the basic data types.mp4 16.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/012 The __str__ function.mp4 16.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/007 What are the most relevant built-in functions.mp4 16.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/008 Filter.mp4 16.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/014 Enumerate.mp4 15.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/002 Interpolation illustration.mp4 15.8 MB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/009 Local vs global variables.mp4 15.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/010 The __main__ function.mp4 15.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/010 What are tuples.mp4 15.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/012 Loops - while loop.mp4 15.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/07 - Eigenvalues And Eigenvectors/001 What are eigenvalues and eigenvectors.mp4 15.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/12 - #3 Challenge - Monte-Carlo Integration/004 Applications of Monte-Carlo simulations in finance.mp4 15.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/006 Runge-Kutta method introduction.mp4 14.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/02 - ### NUMERICAL METHODS ###/003 Rounding errors.mp4 14.8 MB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/002 Data structures introduction.mp4 14.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/06 - #1 Challenge - Portfolio Optimization/002 Portfolio optimization implementation.mp4 14.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/007 Matrix operations with NumPy.mp4 14.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/001 First steps in Python.mp4 14.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/04 - Linear Systems and Gaussian Elimination/002 Gaussian elimination illustration.mp4 14.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/01 - Introduction/001 Introduction.mp4 14.3 MB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/004 Matrix vector multiplication.mp4 14.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/013 What are nested loops.mp4 13.8 MB[TutsNode.com] - Numerical Methods and Optimization in Python/06 - #1 Challenge - Portfolio Optimization/001 Portfolio optimization introduction.mp4 13.8 MB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/002 Euler's method introduction.mp4 13.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/001 What is object oriented programming (OOP).mp4 13.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/001 Matrix multiplication introduction.mp4 13.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/010 ADAM optimizer introduction.mp4 12.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/001 Root of functions introduction.mp4 12.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/007 What are the problems with the random surfer model.mp4 12.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/005 Returning multiple values.mp4 12.8 MB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/006 Simpson's method introduction.mp4 12.6 MB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/001 Integration introduction.mp4 11.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/07 - Eigenvalues And Eigenvectors/002 Eigenvalues and eigenvectors implementation.mp4 11.4 MB[TutsNode.com] - Numerical Methods and Optimization in Python/07 - Eigenvalues And Eigenvectors/003 Applications of eigenvectors in machine learning.mp4 11.2 MB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/002 Class and objects basics.mp4 11.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/002 First steps.mp4 10.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/002 Bisection method introduction.mp4 10.7 MB[TutsNode.com] - Numerical Methods and Optimization in Python/02 - ### NUMERICAL METHODS ###/002 Precision and accuracy.mp4 9.9 MB[TutsNode.com] - Numerical Methods and Optimization in Python/04 - Linear Systems and Gaussian Elimination/004 Gaussian elimination and singular matrixes.mp4 9.1 MB[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/005 Applications of interpolation.mp4 9.0 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/016 Calculating Fibonacci-numbers.mp4 8.8 MB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/004 Returning values.mp4 8.5 MB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/003 Booleans.mp4 7.1 MB
[TutsNode.com] - Numerical Methods and Optimization in Python/22 - Course Materials (DOWNLOADS)/001 numerical-methods.zip 3.5 MB
.pad/30 1.0 MB.pad/111 1.0 MB.pad/75 1.0 MB.pad/6 1.0 MB.pad/91 1.0 MB.pad/43 1.0 MB.pad/90 994.4 kB.pad/82 990.0 kB.pad/50 990.0 kB.pad/42 988.9 kB.pad/36 980.4 kB.pad/49 969.4 kB.pad/110 938.3 kB.pad/5 931.0 kB.pad/34 930.5 kB.pad/81 923.8 kB.pad/118 918.8 kB.pad/59 918.7 kB.pad/46 916.8 kB.pad/127 915.2 kB.pad/64 913.6 kB.pad/109 912.0 kB.pad/80 910.1 kB.pad/146 899.5 kB.pad/4 897.2 kB.pad/103 891.9 kB.pad/38 883.9 kB.pad/126 879.9 kB.pad/69 876.8 kB.pad/134 874.6 kB.pad/141 872.6 kB.pad/89 871.8 kB.pad/98 864.3 kB.pad/9 862.6 kB.pad/63 859.8 kB.pad/62 835.2 kB.pad/8 811.6 kB.pad/20 810.5 kB.pad/68 805.7 kB.pad/117 800.1 kB.pad/108 793.8 kB.pad/17 776.3 kB.pad/133 776.0 kB.pad/26 763.2 kB.pad/88 756.1 kB.pad/132 754.6 kB.pad/19 754.4 kB.pad/79 748.7 kB.pad/97 743.2 kB.pad/15 742.4 kB.pad/116 740.9 kB.pad/7 731.6 kB.pad/131 722.9 kB.pad/11 717.5 kB.pad/67 715.1 kB.pad/61 651.5 kB.pad/107 646.7 kB.pad/115 645.4 kB.pad/145 644.8 kB.pad/102 625.1 kB.pad/78 624.5 kB.pad/29 621.4 kB.pad/114 617.4 kB.pad/125 615.8 kB.pad/74 603.0 kB.pad/48 599.6 kB.pad/140 590.3 kB.pad/45 586.6 kB.pad/142 584.2 kB.pad/16 578.8 kB.pad/87 578.3 kB.pad/58 569.3 kB.pad/130 562.3 kB.pad/139 547.5 kB.pad/57 543.6 kB.pad/56 536.4 kB.pad/21 532.4 kB.pad/86 530.4 kB.pad/13 526.8 kB.pad/55 522.2 kB.pad/28 519.9 kB.pad/129 519.3 kB.pad/41 515.7 kB.pad/54 503.5 kB.pad/3 478.7 kB.pad/73 461.0 kB.pad/101 456.4 kB.pad/72 450.5 kB.pad/2 449.9 kB.pad/35 446.5 kB.pad/25 425.8 kB.pad/124 422.5 kB.pad/96 421.2 kB.pad/144 406.9 kB.pad/95 404.8 kB.pad/123 403.5 kB.pad/71 391.0 kB.pad/138 370.2 kB.pad/77 369.1 kB.pad/37 366.3 kB.pad/106 351.1 kB.pad/122 342.3 kB.pad/18 341.5 kB.pad/121 330.3 kB.pad/40 329.9 kB.pad/143 320.6 kB.pad/105 310.4 kB.pad/12 290.3 kB.pad/113 278.7 kB.pad/66 277.2 kB.pad/14 275.9 kB.pad/100 274.5 kB.pad/24 255.9 kB.pad/76 253.2 kB.pad/10 244.4 kB.pad/94 242.9 kB.pad/93 233.2 kB.pad/147 228.7 kB.pad/65 221.7 kB.pad/104 221.6 kB.pad/39 208.2 kB.pad/92 200.1 kB.pad/85 198.1 kB.pad/112 196.7 kB.pad/70 195.4 kB.pad/99 191.5 kB.pad/0 181.7 kB.pad/137 170.9 kB.pad/120 170.7 kB.pad/23 169.9 kB.pad/119 163.5 kB.pad/33 160.9 kB.pad/84 156.9 kB.pad/32 153.7 kB.pad/47 124.9 kB.pad/60 122.1 kB.pad/136 90.6 kB.pad/27 68.3 kB.pad/128 67.0 kB.pad/44 61.7 kB.pad/53 58.9 kB.pad/83 54.8 kB.pad/52 49.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/005 Stochastic gradient descent implementation I_en.vtt 25.0 kB.pad/31 20.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/008 ADAGrad implementation_en.vtt 14.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/004 Euler's method example - pendulum_en.vtt 13.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/001 How to measure the running time of algorithms_en.vtt 12.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/004 Stochastic gradient descent introduction_en.vtt 12.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/003 Positional arguments and keyword arguments_en.vtt 12.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/05 - Gauss Elimination Implementation/001 Gaussian elimination implementation I_en.vtt 11.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/017 Sorting_en.vtt 11.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/002 Gradient descent implementation_en.vtt 11.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/004 PageRank algorithm example_en.vtt 11.5 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/005 DataFrame operations_en.vtt 11.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/001 What is interpolation_en.vtt 11.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/015 Dictionaries in Python_en.vtt 10.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/003 Dimension of arrays_en.vtt 10.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/008 What is recursion_en.vtt 10.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/012 What are linked list data structures_en.vtt 10.5 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/011 ADAM optimizer implementation_en.vtt 10.4 kB.pad/51 10.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/001 How to deal with differential equations_en.vtt 10.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/005 Matrix representation of the problem_en.vtt 10.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/014 Hashing and O(1) running time complexity_en.vtt 10.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/016 Sets in Python_en.vtt 9.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/12 - #3 Challenge - Monte-Carlo Integration/002 Monte-Carlo integral implementation I_en.vtt 9.7 kB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/004 Indexes and slicing_en.vtt 9.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/02 - ### NUMERICAL METHODS ###/001 Floating point numbers_en.vtt 9.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/013 Comparing objects - overriding functions_en.vtt 9.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/009 How to use multiple conditions_en.vtt 9.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/008 PageRank algorithm - the final formula_en.vtt 9.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/006 Reshape_en.vtt 9.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/004 Strings_en.vtt 9.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/006 Lists in Python - advanced operations_en.vtt 8.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/009 Data filtering_en.vtt 8.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/004 What are array data structures II_en.vtt 8.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/002 Creating and updating arrays_en.vtt 8.7 kB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/002 Crawling the web with breadth-first search_en.vtt 8.5 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/003 Series_en.vtt 8.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/12 - #3 Challenge - Monte-Carlo Integration/001 What is the Monte-Carlo method_en.vtt 8.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/003 What are array data structures I_en.vtt 8.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/05 - Gauss Elimination Implementation/002 Gaussian elimination implementation II_en.vtt 8.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/010 Using the apply() function_en.vtt 8.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/001 What is gradient descent_en.vtt 8.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/001 What is Pandas_en.vtt 8.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/04 - Linear Systems and Gaussian Elimination/002 Gaussian elimination illustration_en.vtt 8.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/004 Trapezoidal integral introduction_en.vtt 7.9 kB.pad/1 7.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/02 - ### NUMERICAL METHODS ###/004 Speed consideration - C, Java and Python_en.vtt 7.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/007 What is ADAGrad_en.vtt 7.7 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/012 What is vectorization_en.vtt 7.7 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/005 String slicing_en.vtt 7.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/007 Stacking and merging arrays_en.vtt 7.5 kB[TutsNode.com] - Numerical Methods and Optimization in Python/04 - Linear Systems and Gaussian Elimination/003 What is pivoting_en.vtt 7.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/003 Interpolation implementation I_en.vtt 7.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/002 Euler's method introduction_en.vtt 7.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/011 Loops - for loop_en.vtt 7.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/007 Runge-Kutta method example I_en.vtt 7.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/003 Rectangle method implementation_en.vtt 7.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/04 - Linear Systems and Gaussian Elimination/001 What is Gaussian elimination_en.vtt 7.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/003 Using the constructor_en.vtt 7.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/011 Modules_en.vtt 6.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/003 The original formula_en.vtt 6.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/002 Interpolation illustration_en.vtt 6.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/008 Operations_en.vtt 6.8 kB.pad/135 6.7 kB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/001 Graph representation of the WWW_en.vtt 6.7 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/007 Reading CSV and text files_en.vtt 6.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/003 Bisection method implementation_en.vtt 6.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/001 First steps in Python_en.vtt 6.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/005 Lists in Python_en.vtt 6.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/002 Matrix multiplication implementation_en.vtt 6.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/006 Stochastic gradient descent implementation II_en.vtt 6.5 kB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/009 Power method_en.vtt 6.5 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/013 Doubly linked list implementation in Python_en.vtt 6.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/002 Defining functions_en.vtt 6.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/007 Lists in Python - list comprehension_en.vtt 6.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/015 Break and continue_en.vtt 6.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/004 DataFrames_en.vtt 6.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/003 Euler's method example_en.vtt 6.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/010 Polymorphism and abstraction example_en.vtt 6.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/007 Simpson's method implementation_en.vtt 6.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/07 - Eigenvalues And Eigenvectors/001 What are eigenvalues and eigenvectors_en.vtt 6.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/002 Rectangle method introduction_en.vtt 6.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/007 Operators_en.vtt 6.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/013 Vectorization example I_en.vtt 5.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/006 Yield operator_en.vtt 5.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/006 The random surfer model_en.vtt 5.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/006 Simpson's method introduction_en.vtt 5.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/002 What are the basic data types_en.vtt 5.7 kB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/003 Running time analysis of matrix multiplication_en.vtt 5.7 kB[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/004 Interpolation implementation II_en.vtt 5.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/005 Trapezoidal integral implementation_en.vtt 5.5 kB[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/004 Newton method introduction_en.vtt 5.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/011 Mutability and immutability_en.vtt 5.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/009 What is polymorphism_en.vtt 5.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/010 ADAM optimizer introduction_en.vtt 5.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/001 What are functions_en.vtt 5.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/006 Lists and NumPy arrays_en.vtt 5.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/005 Private variables and name mangling_en.vtt 5.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/001 Matrix multiplication introduction_en.vtt 5.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/006 Runge-Kutta method introduction_en.vtt 5.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/001 What is the key advantage of NumPy_en.vtt 5.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/12 - #3 Challenge - Monte-Carlo Integration/003 Monte-Carlo integral implementation II_en.vtt 5.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/005 Types_en.vtt 5.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/007 What are the most relevant built-in functions_en.vtt 5.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/007 The super keyword_en.vtt 5.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/006 Speed comparison - DataFrame operations_en.vtt 5.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/004 Class variables and instance variables_en.vtt 5.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/008 Runge-Kutta method example II_en.vtt 5.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/012 Loops - while loop_en.vtt 5.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/005 Inner product_en.vtt 5.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/002 Bisection method introduction_en.vtt 4.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/009 Local vs global variables_en.vtt 4.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/003 Gradient descent with momentum_en.vtt 4.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/005 Newton method implementation_en.vtt 4.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/005 Euler's method example - pendulum with drag_en.vtt 4.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/006 Type casting_en.vtt 4.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/02 - ### NUMERICAL METHODS ###/003 Rounding errors_en.vtt 4.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/004 Matrix vector multiplication_en.vtt 4.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/008 Conditional statements_en.vtt 4.7 kB[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/007 Matrix operations with NumPy_en.vtt 4.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/014 Enumerate_en.vtt 4.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/010 What are tuples_en.vtt 4.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/009 What is RMSProp_en.vtt 4.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/008 Filter_en.vtt 4.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/006 What is inheritance in OOP_en.vtt 4.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/007 What are the problems with the random surfer model_en.vtt 4.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/001 Root of functions introduction_en.vtt 4.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/06 - #1 Challenge - Portfolio Optimization/001 Portfolio optimization introduction_en.vtt 4.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/010 The __main__ function_en.vtt 4.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/014 Vectorization example II_en.vtt 4.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/04 - Linear Systems and Gaussian Elimination/004 Gaussian elimination and singular matrixes_en.vtt 4.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/002 Data structures introduction_en.vtt 4.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/010 Logical operators_en.vtt 4.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/001 Integration introduction_en.vtt 3.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/012 The __str__ function_en.vtt 3.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/07 - Eigenvalues And Eigenvectors/002 Eigenvalues and eigenvectors implementation_en.vtt 3.6 kB[TutsNode.com] - Numerical Methods and Optimization in Python/02 - ### NUMERICAL METHODS ###/002 Precision and accuracy_en.vtt 3.5 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/002 First steps_en.vtt 3.5 kB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/005 Returning multiple values_en.vtt 3.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/12 - #3 Challenge - Monte-Carlo Integration/004 Applications of Monte-Carlo simulations in finance_en.vtt 3.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/002 Class and objects basics_en.vtt 3.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/013 What are nested loops_en.vtt 3.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/06 - #1 Challenge - Portfolio Optimization/002 Portfolio optimization implementation_en.vtt 3.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/21 - Appendix #6 - Pandas/011 Speed comparison - loops and apply()_en.vtt 3.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/005 Applications of interpolation_en.vtt 3.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/016 Calculating Fibonacci-numbers_en.vtt 3.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/001 What is object oriented programming (OOP)_en.vtt 2.9 kB[TutsNode.com] - Numerical Methods and Optimization in Python/19 - Appendix #4 - Object Oriented Programming (OOP)/008 Function (method) override_en.vtt 2.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/17 - Appendix #2 - Functions/004 Returning values_en.vtt 2.8 kB[TutsNode.com] - Numerical Methods and Optimization in Python/01 - Introduction/001 Introduction_en.vtt 2.5 kB[TutsNode.com] - Numerical Methods and Optimization in Python/07 - Eigenvalues And Eigenvectors/003 Applications of eigenvectors in machine learning_en.vtt 2.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/16 - Appendix #1 - Python Basics/003 Booleans_en.vtt 2.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/006 StochasticGradientDescentRegression.py 2.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/004 LagrangeInterpolation.py 2.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/005 StochasticGradientDescent.py 2.0 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/008 GradientDescentAdaGrad.py 1.6 kB.pad/22 1.4 kB
[TutsNode.com] - Numerical Methods and Optimization in Python/20 - Appendix #5 - NumPy/009 Running time comparison arrays and lists.html 1.4 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/002 GradientDescent.py 1.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/009 Measuring running time of lists.html 1.3 kB[TutsNode.com] - Numerical Methods and Optimization in Python/12 - #3 Challenge - Monte-Carlo Integration/002 MonteCarloIntegral.py 1.2 kB[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/011 ADAM.py 1.1 kB[TutsNode.com] - Numerical Methods and Optimization in Python/05 - Gauss Elimination Implementation/002 GaussElimination.py 838 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/12 - #3 Challenge - Monte-Carlo Integration/003 MonteCarloIntegral2.py 676 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/008 RungeKuttaExample2.py 663 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/007 RungeKuttaExample1.py 648 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/18 - Appendix #3 - Data Structures in Python/008 (!!!) Python lists and arrays.html 628 Bytes
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/007 SimpsonMethod.py 511 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/002 MatrixMultiplication.py 496 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/005 TrapezoidalIntegral.py 468 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/003 EulerMethodExample1.py 449 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/15 - ### APPENDIX - PYTHON PROGRAMMING CRASH COURSE ###/001 Python crash course introduction.html 441 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/004 MatrixVectorMultiplication.py 423 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/004 EulerMethodExample2.py 421 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/03 - Linear Algebra/005 InnerProduct.py 386 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/003 RectangleIntegral.py 376 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/003 BisectionMethod.py 360 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/04 - Linear Systems and Gaussian Elimination/005 Mathematical formulation of Gaussian elimination.html 345 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/005 NewtonRaphsonMethod.py 294 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/012 Mathematical formulation of optimization algorithms in machine learning.html 275 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/10 - Root Finding/006 Mathematical formulation of root finding.html 271 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/09 - Interpolation/006 Mathematical formulation of interpolation.html 265 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/07 - Eigenvalues And Eigenvectors/004 Mathematical formulation of eigenvectors.html 261 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/08 - #2 Challenge - Google's PageRank Algorithm/010 Original scientific paper of PageRank algorithm.html 254 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/13 - Differential Equations/009 Mathematical formulation of numerical differentiation.html 251 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/11 - Numerical Integration/008 Mathematical formulation of numerical integration.html 245 BytesTutsNode.com.txt 63 Bytes[TutsNode.com] - Numerical Methods and Optimization in Python/22 - Course Materials (DOWNLOADS)/001 Course material.html 58 Bytes Udemy - Python 100 Hands-On- Learn Python by Writing Python Code 709.4 MB Python for Everyone - Learn Python from scratch - Python 3 1.0 GB Python Programming for beginners Learn Python in a step... 92.6 MB [ FreeCourseWeb.com ] Python Programming for beginners -... 77.6 MB Python for Beginners- Learn Python Hands-on (Python 3) 3.5 GB Complete Python programming - Python Basics to Advanced Python 3.6 GB [ FreeCourseWeb.com ] Python Fundamentals For Beginners... 3.1 GB Python for Beginners Learn Python Basics (Python 3) 218.2 MB [ FreeCourseWeb.com ] Udemy - Complete Python... 3.5 GB
[ FreeCourseWeb.com ] Skillshare - Practical Python -... 1.5 GB