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【文档书籍】 Cutting Machine Crafts - Cricut, Sizzix, or Silhouette Projects to Make with 60 SVG Files

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Cutting Machine Crafts - Cricut, Sizzix, or Silhouette Projects to Make with 60 SVG Files.epub 398.5 MB

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【文档书籍】 Geron A. - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - 2022

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Geron A. - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - 2022.pdf 71.8 MB
Geron A. - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - 2022.epub 28.6 MB

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【文档书籍】 Klein B. Machine Learning with Python Tutorial 2021

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Klein B. Machine Learning with Python Tutorial 2021.pdf 61.7 MB

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【文档书籍】 NCSIMUL.Machine.9.2.9.Win-SSQ

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【文档书籍】 Dzhulgakov D., Raschka S., Mirjalili V., Liu Y. - Machine Learning with PyTorch and Scikit-Learn - 2023

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Dzhulgakov D., Raschka S., Mirjalili V., Liu Y. - Machine Learning with PyTorch and Scikit-Learn - 2023.epub 63.5 MB
Dzhulgakov D., Raschka S., Mirjalili V., Liu Y. - Machine Learning with PyTorch and Scikit-Learn - 2023.pdf 30.8 MB

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【文档书籍】 Machine Learning, Artificial Intelligence, Mathematics eBooks

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math/matrix fu/introduction to linear algebra (4th, 2009).pdf 94.3 MB
ML/probabilistic graphical models - principles and techniques (2009).pdf 69.4 MB
math/statistics/applied linear statistical models (5th, 2004).pdf 52.2 MB
math/analysis/calculus (spivak, 3rd, 1994).pdf 50.7 MB
AI/evo bio/introduction to evolutionary computing (2003).pdf 47.1 MB
math/statistics/all of statistics - a concise course in statistical inference (2010).pdf 47.1 MB
math/probability/an introduction to probability theory and applications (vol2, 1971).pdf 44.1 MB
ML/machine learning - an algorithmic perspective (2009).pdf 44.0 MB
ML/machine learning (1997).pdf 38.8 MB
math/probability/an introduction to probability theory and applications (vol1, 3rd, 1968).pdf 36.8 MB
math/analysis/calculus (strang, 1991).pdf 35.2 MB
other/godel, escher, bach - an eternal golden braid (1999).pdf 32.8 MB
ML/statistical learning theory (1998).pdf 31.3 MB
math/matrix fu/fundamentals of matrix computations (2nd, 2002).pdf 26.8 MB
ML/machine learning for hackers (2012).pdf 24.2 MB
math/statistics/introduction to bayesian statistics (2nd, 2007).pdf 22.9 MB
other/solutions/answer book for calculus 3rd (spivak, 1994).pdf 22.6 MB
math/probability/a course in probability theory (3rd, 2000).pdf 21.5 MB
other/speech and language processing (2nd, 2007).pdf 19.8 MB
AI/universal artificial intelligence (2005).pdf 18.4 MB

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【文档书籍】 [Manning] Machine learning bookcamp (hevc) (2021) [EN]

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Manning.Machine.learning.bookcamp.2021.pdf 10.4 MB
25 - Ch4 ROC curve and AUC score.m4v 7.2 MB
51 - Ch8 Preparing the Docker image.m4v 7.1 MB
10 - Ch2 Validating the model.m4v 7.0 MB
1 - Ch1 Introduction to machine learning.m4v 7.0 MB
50 - Ch8 Serverless deep learning.m4v 6.9 MB
53 - Ch9 Running TensorFlow Serving locally.m4v 6.8 MB
2 - Ch1 When machine learning isn’t helpful.m4v 6.8 MB
20 - Ch3 Model interpretation.m4v 6.8 MB
54 - Ch9 Model deployment with Kubernetes.m4v 6.7 MB
13 - Ch3 Machine learning for classification.m4v 6.6 MB
40 - Ch6 Parameter tuning for XGBoost.m4v 6.5 MB
21 - Ch3 Using the model.m4v 6.5 MB
3 - Ch1 Evaluation.m4v 6.3 MB
26 - Ch4 ROC Curve.m4v 6.2 MB
42 - Ch7 Neural networks and deep learning.m4v 6.1 MB
23 - Ch4 Confusion table.m4v 6.0 MB
49 - Ch7 Using the model.m4v 6.0 MB
28 - Ch4 Next steps.m4v 5.9 MB
22 - Ch4 Evaluation metrics for classification.m4v 5.9 MB

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【文档书籍】 Starmer J. The StatQuest Illustrated Guide To Machine Learn.2022

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Starmer J. The StatQuest Illustrated Guide To Machine Learn.2022.pdf 259.3 MB

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【文档书籍】 Chris McNab - Hitler's Armies - A History of the German War Machine 1939-1945 (Osprey, General Military) - 2011.pdf

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Chris McNab - Hitler's Armies - A History of the German War Machine 1939-1945 (Osprey, General Military) - 2011.pdf 90.1 MB

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【文档书籍】 Shahin S. Nudehi, John R. Steffen - Analysis of Machine Elements Using SOLIDWORKS Simulation 2023 - 2023.pdf

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Shahin S. Nudehi, John R. Steffen - Analysis of Machine Elements Using SOLIDWORKS Simulation 2023 - 2023.pdf 88.7 MB

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【文档书籍】 machine learning artificial intelligence books collection

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Probabilistic Machine Learning: Advanced Topics [Kevin P. Murphy] - The MIT Press (2023).pdf 152.3 MB
Probabilistic Machine Learning: An Introduction [Kevin P. Murphy] - The MIT Press (2022).pdf 84.2 MB
Michael I. Jordan (Editor) - Learning in Graphical Models (Adaptive Computation and Machine Learning) (1998).pdf 59.6 MB
Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai - Machine Learning from Weak Supervision_ An Empirical Risk Minimization Approach (2022, The MIT Press) - li.pdf 38.9 MB
Stuart J. Russell, Peter Norvig - Artificial Intelligence_ A Modern Approach, Global Edition (2021, Pearson) - libgen.li.pdf 34.1 MB
Stuart Russell, Peter Norvig - Artificial Intelligence_ A Modern Approach, Fourth Global Edition [4th Ed] (Instructor Res. n. last of 2, Lectures) (2021, Pearson Education Limited) - libgen.li.7z 32.0 MB
Machine Learning: A Probabilistic Perspective [Kevin P. Murphy] - The MIT Press (2012).pdf 26.9 MB
Gilbert Strang - Linear Algebra and Learning from Data (2019, Wellesley-Cambridge Press).pdf 26.3 MB
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar - Foundations of Machine Learning, Second Edition [2nd Ed] (Instructor Res. n. 2 of 3, Lectures) (2018, The MIT Press) - .7z 25.2 MB
Jonas Peters, Dominik Janzing, Bernhard Schölkopf - Elements of Causal Inference_ Foundations and Learning Algorithms-The MIT Press (2017).pdf 22.0 MB
Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer, Francis Bach - Machine Learning for Data Streams_ with Practical Examples in MOA.pdf 21.9 MB
An Introduction to Statistical Learning With Applications in Python [Robert Tibshirani,Jonathan Taylor] First Print July 2023.pdf 20.1 MB
Deep learning [Yoshua Bengio,Aaron Courville, Ian Goodfellow] - The MIT Press (2016) .pdf 19.3 MB
Pattern Recognition and Machine Learning [Christopher Bishop] (2006).pdf 18.1 MB
Freund, Yoav_Schapire, Robert E - Boosting foundations and algorithms-MIT Press (2012).pdf 16.3 MB
Elad Hazan - Introduction to Online Convex Optimization-The MIT Press (2022).epub 15.2 MB
Marc G. Bellemare - Distributional Reinforcement Learning - MIT Press (2023).epub 14.0 MB
Ethem Alpaydin - Introduction to Machine Learning (2020, The MIT Press) - libgen.li.pdf 13.5 MB
[Springer Series in Statistics] Trevor Hastie, Robert Tibshirani, Jerome Friedman - The Elements of Statistical Learning_ Data Mining, Inference, and Prediction. (2013, Springer).pdf 13.3 MB
Stuart Russell, Peter Norvig - Artificial Intelligence_ A Modern Approach, Fourth Global Edition [4th Ed] (Instructor Res. n. 1 of 2, Solution Manual, Solutions)-Pearson Education Limited (2021).7z 13.0 MB

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【文档书籍】 Machine Musicianship (2001) MIT Press.pdf

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Machine Musicianship (2001) MIT Press.pdf 104.0 MB

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【文档书籍】 Machine Learning Fundamentals - A Concise Introduction

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Machine Learning Fundamentals - A Concise Introduction/Machine Learning Fundamentals - A Concise Introduction.pdf 67.1 MB
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【文档书籍】 [NulledPremium.com] Machine Learning for Cybersecurity

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Machine Learning for Cybersecurity Cookbook by Emmanuel Tsukerman.epub 62.6 MB
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【文档书籍】 Wang J. Encyclopedia of Data Science and Machine Learning (5 Volume Set) 2023

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Wang J. Encyclopedia of Data Science and Machine Learning (5 Volume Set) 2023.pdf 185.2 MB

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【文档书籍】 Alexey Grigorev - Machine Learning Bookcamp - 2021

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Alexey Grigorev - Machine Learning Bookcamp - 2021.pdf 37.8 MB
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【文档书籍】 Shah C. A Hands-On Introduction to Machine Learning 2023

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Shah C. A Hands-On Introduction to Machine Learning 2023.pdf 158.9 MB

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【文档书籍】 Raschka S., Julian D., Hearty J. - Python Deeper Insights into Machine Learning - 2017

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【文档书籍】 RIFLES AND MACHINE GUNS^V

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