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Feature Engineering Made Easy: Identify unique features from your dataset in order to build powerful machine learning systems (Kindle Edition)
By:
Sinan Özdemir
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Foundations of Signal Processing (Unknown Binding)
By:
Martin Vetterli
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Applied Statistics and Probability for Engineers [With Free Access to Online Student Resources] (Hardcover)
By:
Douglas C. Montgomery
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Machine Learning: A Probabilistic Perspective (Hardcover)
By:
Kevin P. Murphy
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Data Smart: Using Data Science to Transform Information into Insight (Paperback)
By:
John W. Foreman
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Applied Predictive Modeling (Hardcover)
By:
Max Kuhn
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R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)
By:
Paul Teetor
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Statistical Inference (Hardcover)
By:
George Casella
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Machine Learning: An Applied Mathematics Introduction (Paperback)
By:
Paul Wilmott
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Deep Learning with Python (Paperback)
By:
François Chollet
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The Scientist & Engineer's Guide to Digital Signal Processing (Hardcover)
By:
Steven W. Smith
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Schaum's Outline: Probability and Statistics, Second Edition (Paperback)
By:
Murray R. Spiegel
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Machine Learning with R (ebook)
By:
Brett Lantz
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Think Stats (Paperback)
By:
Allen B. Downey
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
By:
Trevor Hastie
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Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models (Kindle Edition)
By:
Soledad Galli
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
By:
Gareth James
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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
By:
Kevin P. Murphy
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Python for Data Analysis (Paperback)
By:
Wes McKinney
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Thinking in Bets: Making Smarter Decisions When You Don't Have All the Facts (Hardcover)
By:
Annie Duke
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Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks (Paperback)
By:
Will Kurt
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Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers (Paperback)
By:
Pete Warden
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Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition (Kindle Edition)
By:
Sudharsan Ravichandiran
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Deep Learning: A Visual Approach (Paperback)
By:
Andrew Glassner
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Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability (Paperback)
By:
Oliver Duerr
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Deep Learning for Vision Systems (Paperback)
By:
Mohamed Elgendy
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Mathematics for Machine Learning: 1st Edition (Kindle Edition)
By:
Marc Peter Deisenroth
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Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
By:
Jake VanderPlas
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Pattern Classification (Hardcover)
By:
David G. Stork
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Pattern Recognition and Machine Learning (Information Science and Statistics)
By:
Christopher M. Bishop
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Introduction to Statistical Thought (Paperback)
By:
Michael Lavine
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Discrete-Time Signal Processing (Hardcover)
By:
Alan V. Oppenheim
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