Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications
Laura Igual
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Hands-On Unsupervised Learning Using Python : How to Build Applied Machine Learning Solutions from Unlabeled Data
Ankur A. Patel
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Mathematics for Machine Learning
Marc Peter (University College London) Deisenroth
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Inference and Learning from Data: Volume 2 : Inference
Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
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Computer Age Statistical Inference : Algorithms, Evidence, and Data Science
Bradley Efron
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Natural Language Processing : A Machine Learning Perspective
Yue Zhang
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Patterns from the Air : Phase 4 Set 2 Stretch and Challenge
Liz Miles
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Evaluating Learning Algorithms : A Classification Perspective
Nathalie Japkowicz
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The Birth of Computer Vision
James E. Dobson
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Automated Machine Learning : Methods, Systems, Challenges
Frank Hutter
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Inference and Learning from Data: Volume 1 : Foundations
Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
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Inference and Learning from Data: Volume 3 : Learning
Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
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Introduction to Environmental Data Science
William W. (University of British Columbia, Vancouver) Hsieh
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High-Dimensional Probability : An Introduction with Applications in Data Science
Roman Vershynin
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Introduction to Graph Signal Processing
Antonio (University of Southern California) Ortega
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. Wainwright
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. Wainwright
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Introduction to Clustering Large and High-Dimensional Data
Jacob (University of Maryland, Baltimore) Kogan
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Introduction to Computational Genomics : A Case Studies Approach
Nello (University of Bristol) Cristianini
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