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The Last Algorithms Course You'll Want (Part 2)/part03.mp4 474.0 MB
The Last Algorithms Course You'll Want (Part 2)/part01.mp4 447.2 MB
The Last Algorithms Course You'll Want (Part 2)/part02.mp4 313.7 MB
The Last Algorithms Course Youll Need (Part 1)/13. Maps & LRU/59. Implementing an LRU Cache.mkv 279.4 MB
The Last Algorithms Course Youll Need (Part 1)/11. Heap/47. Implementing Heap.mkv 276.1 MB
The Last Algorithms Course Youll Need (Part 1)/7. Quick Sort/29. Implementing QuickSort.mkv 213.7 MB
The Last Algorithms Course Youll Need (Part 1)/9. Trees/36. Implement Tree Traversal.mkv 204.6 MB
The Last Algorithms Course Youll Need (Part 1)/8. Doubly Linked List/31. Linked List remove, get, & removeAt.mkv 194.6 MB
The Last Algorithms Course Youll Need (Part 1)/12. Graphs/54. Implement Dijkstra's Shortest Path.mkv 185.0 MB
The Last Algorithms Course Youll Need (Part 1)/8. Doubly Linked List/30. Linked List prepend, insertAt, & append.mkv 184.6 MB
The Last Algorithms Course Youll Need (Part 1)/11. Heap/46. Heap.mkv 182.7 MB
The Last Algorithms Course Youll Need (Part 1)/5. Arrays/23. Data Structures Q&A.mkv 179.1 MB
The Last Algorithms Course Youll Need (Part 1)/6. Recursion/26. Path Finding Recursive Case.mkv 177.5 MB
The Last Algorithms Course Youll Need (Part 1)/4. Sort/13. Linked List Data Structures.mkv 168.2 MB
The Last Algorithms Course Youll Need (Part 1)/12. Graphs/52. Implement DFS on Adjacency List.mkv 165.1 MB
The Last Algorithms Course Youll Need (Part 1)/11. Heap/48. Tries.mkv 163.9 MB
The Last Algorithms Course Youll Need (Part 1)/2. Basics/3. Arrays Data Structure.mkv 157.5 MB
The Last Algorithms Course Youll Need (Part 1)/6. Recursion/24. Recursion.mkv 156.2 MB
The Last Algorithms Course Youll Need (Part 1)/6. Recursion/25. Path Finding Base Case.mkv 150.2 MB
The Last Algorithms Course Youll Need (Part 1)/12. Graphs/53. Dijkstra's Shortest Path.mkv 147.9 MB
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06. Generating and Manipulating Collections/02. Copying.mp4 55.5 MB
06. Generating and Manipulating Collections/04. Removing Elements.mp4 39.3 MB
03. Counting and Finding/08. Variations on Finding.mp4 36.7 MB
09. Conventions/07. Can’t Remember-.mp4 35.0 MB
05. Comparing and Accumulating/05. Total the Elements.mp4 34.9 MB
07. Using the Power of Iterators/03. Use Different Iterators.mp4 27.7 MB
06. Generating and Manipulating Collections/07. Transform.mp4 26.7 MB
05. Comparing and Accumulating/04. Demo- Comparing.mp4 26.5 MB
04. Sorting/03. Stable Sort.mp4 26.3 MB
beautiful-cplusplus-stl-algorithms.zip 25.0 MB
04. Sorting/07. Partial Sorting.mp4 23.9 MB
07. Using the Power of Iterators/04. Almost Any Algorithm.mp4 23.3 MB
06. Generating and Manipulating Collections/05. Creating and Filling Collections.mp4 22.3 MB
07. Using the Power of Iterators/05. Reverse Iterators.mp4 21.8 MB
04. Sorting/05. Find the Largest.mp4 19.1 MB
03. Counting and Finding/05. Count_if.mp4 18.9 MB
07. Using the Power of Iterators/07. Iterators to const Elements.mp4 18.3 MB
08. Unexpectedly Useful Operations/03. Swapping.mp4 18.1 MB
08. Unexpectedly Useful Operations/06. Partition.mp4 17.1 MB
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15 Recursion/104 Recursion Interview Problem - 4 - SOLUTION.mp4 107.4 MB
18 Graph Algorithms/155 Implementation of a Graph Adjacency List.mp4 95.9 MB
17 Searching and Sorting/128 Implementation of a Hash Table.mp4 92.6 MB
16 Trees/112 Binary Heap Implementation.mp4 78.6 MB
11 Algorithm Analysis and Big O/041 Big O Examples.mp4 70.2 MB
12 Array Sequences/048 Dynamic Array Excercise.mp4 65.3 MB
16 Trees/114 Implementation of Binary Search Trees - Part 1.mp4 62.5 MB
15 Recursion/102 Recursion Interview Problem - 3 - SOLUTION.mp4 61.1 MB
12 Array Sequences/046 Low Level Arrays.mp4 60.8 MB
12 Array Sequences/056 Find the Missing Element - Interview Problem - SOLUTION.mp4 59.4 MB
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16 Trees/115 Implementation of Binary Search Trees - Part 2.mp4 52.4 MB
17 Searching and Sorting/143 Implementation of Quick Sort.mp4 52.3 MB
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11 Algorithm Analysis and Big O/040 Big O Notation.mp4 50.5 MB
17 Searching and Sorting/141 Implementation of Merge Sort.mp4 50.2 MB
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Chapter 13 Introduction to Deep Learning/001. Introduction to Deep Learning.mp4 262.8 MB
Chapter 04 Exploratory Data Analysis/009. EDA Project 7.mp4 138.3 MB
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Chapter 06 Logistic Regression/006. Model Evaluation - AUC-ROC.mp4 127.3 MB
Chapter 03 Learning Python/023. Pandas DataFrame 5.mp4 126.1 MB
Chapter 12 Unsupervised Learning using K-Means Clustering/002. K-Means Clustering Computation.mp4 120.4 MB
Chapter 01 Introduction to Machine Learning/004. History of Machine Learning.mp4 115.6 MB
Chapter 06 Logistic Regression/004. Data Analysis and Feature Engineering.mp4 108.3 MB
Chapter 05 Linear Regression/010. Data Preparation and Analysis 3.mp4 104.6 MB
Chapter 02 Statistical Techniques/008. Hypothesis Testing.mp4 100.4 MB
Chapter 03 Learning Python/016. Pandas Series 2.mp4 98.3 MB
Chapter 06 Logistic Regression/002. Logit Model.mp4 96.7 MB
Chapter 01 Introduction to Machine Learning/007. Challenges in Machine Learning.mp4 95.0 MB
Chapter 02 Statistical Techniques/004. Histograms and Normal Approximation.mp4 93.4 MB
Chapter 09 Random Forest Ensemble/003. Model Building and Hyperparameter Tuning using Grid Search CV.mp4 92.2 MB
Chapter 05 Linear Regression/006. OLS Assumptions and Testing.mp4 91.4 MB
Chapter 03 Learning Python/007. Python Tuples.mp4 90.3 MB
Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/001. Principal Component Analysis - Concepts.mp4 90.0 MB
Chapter 08 Decision Tree Classifier/006. Model Optimization using Grid Search Cross Validation.mp4 89.7 MB
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Evil S03E06 The Demon of Algorithms 1080p AMZN WEB-DL DDP5 1 H 264-NTb.mkv 1.8 GB
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04 Brute Force Algorithms/001. Brute Force An Algorithm for Solving Combinatoric Problems.mp4 358.7 MB
07 AllPairsShortestPath/001. Graph Algorithms All Pairs Shortest Path.mp4 301.6 MB
03 Mathematical Algorithms/001. Mathematical Algorithms Exponentiation By Squaring.mp4 301.5 MB
05 K-Dimensional Trees/001. KD Trees Efficient Processing of Two-Dimensional Datasets Part 1.mp4 285.4 MB
09 Single-Source Shortest Path/001. Single-Source Shortest Path Using Priority Queues.mp4 248.7 MB
01 BinarySearch/001. Efficient Searching using BinaryArraySearch and Binary Search Trees Part 1.mp4 200.5 MB
01 BinarySearch/002. Efficient Searching using BinaryArraySearch and Binary Search Trees Part 2.mp4 197.2 MB
02 O (n log n) Behavior/001. MergeSort A Divide and Conquer Algorithm.mp4 170.3 MB
06 Graph Algorithms/001. Graph Algorithms Depth First Search Part 1.mp4 170.0 MB
01 BinarySearch/004. An Informal Introduction to the Analysis of Algorithms.mp4 160.0 MB
06 Graph Algorithms/002. Graph Algorithms Depth First Search Part 2.mp4 157.3 MB
04 Brute Force Algorithms/002. Using Brute Force to Generate Magic Squares.mp4 151.1 MB
08 Heap Data Structure/001. The Heap Data Structure and Its Use in HeapSort.mp4 147.8 MB
05 K-Dimensional Trees/002. KD Trees Efficient Processing of Two-Dimensional Datasets Part 2.mp4 98.0 MB
02 O (n log n) Behavior/002. Using MergeSort to Sort External Data.mp4 95.4 MB
05 K-Dimensional Trees/003. Using KD Trees to Compute Nearest Neighbor Queries.mp4 95.0 MB
06 Graph Algorithms/003. Using Depth First Search to Construct a Rectangular Maze.mp4 90.3 MB
03 Mathematical Algorithms/002. Using Exponentiation by Squaring to Determine Whether an Integer Is Prime.mp4 79.5 MB
08 Heap Data Structure/002. Using HeapSort to Sort a Collection.mp4 63.0 MB
09 Single-Source Shortest Path/002. Using Priority Queues to Compute the Minimum Spanning Tree.mp4 61.6 MB
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Data Structure and Algorithms Courses by Algoexpert and Neetcode 29.9 GB
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[TutsNode.org] - Ultimate Data Structures & Algorithms Part 1/lesson86.mp4 365.7 MB
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3. Bottom-up LR parsing/2. Function Declarations.mp4 77.3 MB
4. Practice and final parser/1. Control structures If-statement.mp4 72.8 MB
3. Bottom-up LR parsing/1. Back to practice Statements Blocks.mp4 70.1 MB
4. Practice and final parser/5. OOP Final parser.mp4 66.2 MB
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1. Context-free grammars and languages/4. Syntax tool Letter.mp4 55.0 MB
2. Top-down LL parsing/4. LL(1) parsing First & Follow sets.mp4 51.7 MB
2. Top-down LL parsing/5. Construction of LL(1) parsing table.mp4 46.7 MB
2. Top-down LL parsing/1. Backtracking parser.mp4 46.0 MB
3. Bottom-up LR parsing/5. CLR(1) and LALR(1) parsing tables.mp4 45.9 MB
4. Practice and final parser/2. Variables Assignment.mp4 44.5 MB
3. Bottom-up LR parsing/3. LR parsing Canonical Collection of LR-items.mp4 43.7 MB
3. Bottom-up LR parsing/6. LR(1) parsing algorithm.mp4 40.4 MB
3. Bottom-up LR parsing/4. LR parsing table LR(0) and SLR(1).mp4 39.5 MB
2. Top-down LL parsing/6. LL(1) parsing algorithm.mp4 38.9 MB
1. Context-free grammars and languages/2. Grammar derivations.mp4 36.2 MB
1. Context-free grammars and languages/1. Formal grammars, context-free.mp4 34.7 MB
4. Practice and final parser/4. Member expression Iteration.mp4 33.4 MB
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2. Garbage Collectors/4. Copying collector.mp4 55.5 MB
2. Garbage Collectors/5. Reference counting collector.mp4 41.8 MB
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2. Garbage Collectors/2. Mark-Sweep collector.mp4 37.5 MB
3. Advance topics/2. Mark-Region GC Immix collector.mp4 36.7 MB
3. Advance topics/5. GC barriers.mp4 36.0 MB
1. Memory management/4. Virtual memory and Memory layout.mp4 34.1 MB
3. Advance topics/1. Generational collector.mp4 32.8 MB
1. Memory management/6. Allocators Free-list vs. Sequential.mp4 29.8 MB
3. Advance topics/3. Parallel, Incremental, Concurrent GC.mp4 24.0 MB
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4. Solving Classification Problems/5. Implementing Support Vector Machines.mp4 24.9 MB
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8. Clustering Large Data Sets into Meaningful Groups/2. Contrasting Clustering and Classification.mp4 14.1 MB
6. Solving Regression Problems/3. Minimizing Error Using Stochastic Gradient Descent.mp4 13.6 MB
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2. Introducing Machine Learning/1. Recognizing Machine Learning Applications.mp4 12.1 MB
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8. Clustering Large Data Sets into Meaningful Groups/3. Document Clustering with K-Means.mp4 11.7 MB
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5. Predicting Relationships between Variables with Regression/5. Contrasting Classification and Regression.mp4 9.8 MB
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21 - Extra Bits/007 AMA - 100,000 Students!!.mp4 688.2 MB
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04 - How To Solve Coding Problems/005 Exercise Interview Question.mp4 141.0 MB
09 - Data Structures Stacks + Queues/007 Optional How Javascript Works.mp4 130.7 MB
20 - Contributing To Open Source To Gain Experience/002 Contributing To Open Source 2.mp4 127.1 MB
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03 - Big O/007 Big O and Scalability.mp4 98.6 MB
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~Get Your Files Here !/Chapter_13._Where_to_go_next.mp4 47.9 MB
~Get Your Files Here !/Chapter_5._Hash_tables.mp4 47.7 MB
~Get Your Files Here !/Chapter_11._Dynamic_programming.mp4 46.0 MB
~Get Your Files Here !/Chapter_2._Selection_sort.mp4 41.7 MB
~Get Your Files Here !/Chapter_7._Trees.mp4 40.0 MB
~Get Your Files Here !/Chapter_4._Quicksort.mp4 39.1 MB
~Get Your Files Here !/Chapter_9._Dijkstra_s_algorithm.mp4 37.5 MB
~Get Your Files Here !/Chapter_12._k-nearest_neighbors.mp4 35.5 MB
~Get Your Files Here !/Chapter_6._Breadth-first_search.mp4 34.5 MB
~Get Your Files Here !/Appendix_C._Answers_to_exercises.mp4 34.3 MB
~Get Your Files Here !/Chapter_8._Balanced_trees.mp4 34.0 MB
~Get Your Files Here !/Chapter_10._Greedy_algorithms.mp4 23.4 MB
~Get Your Files Here !/Chapter_3._Recursion.mp4 20.6 MB
~Get Your Files Here !/Appendix_B._NP-hard_problems.mp4 19.4 MB
~Get Your Files Here !/Appendix_A._Performance_of_AVL_trees.mp4 4.9 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes
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- 【影视】 [ DevCourseWeb.com ] Applied Machine Learning - Algorithms (2024)
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~Get Your Files Here !/02 - 1. Clustering/03 - Understanding clusters.mp4 20.0 MB
~Get Your Files Here !/02 - 1. Clustering/01 - K-means.mp4 19.3 MB
~Get Your Files Here !/02 - 1. Clustering/02 - K evaluation.mp4 18.7 MB
~Get Your Files Here !/02 - 1. Clustering/06 - Solution Apply KNN.mp4 16.5 MB
~Get Your Files Here !/06 - 5. Decision Trees/02 - Real-world example.mp4 16.3 MB
~Get Your Files Here !/04 - 3. Linear Regression/04 - Assumptions.mp4 15.1 MB
~Get Your Files Here !/04 - 3. Linear Regression/03 - Real-world example.mp4 13.9 MB
~Get Your Files Here !/03 - 2. PCA/03 - Components.mp4 12.6 MB
~Get Your Files Here !/03 - 2. PCA/07 - Solution Utilize PCA.mp4 11.7 MB
~Get Your Files Here !/05 - 4. Logistic Regression/05 - Solution Construct a logistic regression model.mp4 11.4 MB
~Get Your Files Here !/04 - 3. Linear Regression/01 - Linear regression algorithm.mp4 10.1 MB
~Get Your Files Here !/05 - 4. Logistic Regression/03 - Assumptions.mp4 9.9 MB
~Get Your Files Here !/06 - 5. Decision Trees/05 - Solution Design a decision tree model.mp4 9.5 MB
~Get Your Files Here !/06 - 5. Decision Trees/01 - Decision tree algorithm.mp4 9.4 MB
~Get Your Files Here !/03 - 2. PCA/02 - Structure of components.mp4 9.4 MB
~Get Your Files Here !/03 - 2. PCA/01 - PCA.mp4 8.7 MB
~Get Your Files Here !/06 - 5. Decision Trees/03 - Random Forest and XGBoost.mp4 8.6 MB
~Get Your Files Here !/04 - 3. Linear Regression/02 - scikit-learn.mp4 8.4 MB
~Get Your Files Here !/03 - 2. PCA/05 - Other algorithms.mp4 8.0 MB
~Get Your Files Here !/07 - Conclusion/01 - Next steps.mp4 6.9 MB
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