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Programming Data Science Books Categories
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Python for Data Analysis (Paperback)
By:
Wes McKinney
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
By:
Trevor Hastie
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Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit (Paperback)
By:
Steven Bird
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Python for Data Science For Dummies (Kindle Edition)
By:
John Paul Mueller
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The Book of Dash: Build Dashboards with Python and Plotly (Kindle Edition)
By:
Adam Schroeder
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Pandas Brain Teasers: 25 brain teasers to tickle your mind and help you master Pandas (Kindle Edition)
By:
Miki Tebeka
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Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value (The Pragmatic Programmers)
By:
Dmitry Zinoviev
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Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-wesley Data & Analytics)
By:
Ofer Mendelevitch
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Learning Data Mining with Python (Kindle Edition)
By:
Robert Layton
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Advanced Analytics with Spark (Paperback)
By:
Sandy Ryza
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Building Machine Learning Systems with Python (Paperback)
By:
Willi Richert
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Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD (Paperback)
By:
Jeremy Howard
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Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning (Paperback)
By:
Chris Albon
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Deep Learning with Python (Paperback)
By:
François Chollet
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Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
By:
Aurélien Géron
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Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization (Treading on Python Book 12)
By:
Matt Harrison
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Pandas for Everyone: Python Data Analysis (Addison-Wesley Data & Analytics Series)
By:
Daniel Y. Chen
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Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python (Kindle Edition)
By:
Alberto Boschetti
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Data Science from Scratch: First Principles with Python (ebook)
By:
Joel Grus
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Learning Spark: Lightning-Fast Big Data Analysis (Kindle Edition)
By:
Holden Karau
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scikit-learn Cookbook (Kindle Edition)
By:
Trent Hauck
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Mastering Machine Learning with scikit-learn (Kindle Edition)
By:
Gavin Hackeling
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Mastering Python Data Analysis (Kindle Edition)
By:
Magnus Vilhelm Persson
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Designing Machine Learning Systems with Python (Paperback)
By:
David Julian
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Data Wrangling with Python: Tips and Tools to Make Your Life Easier (Paperback)
By:
Jacqueline Kazil
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Machine Learning In Python W/Ws (Paperback)
By:
Michael Bowles
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Python for Scientists (Kindle Edition)
By:
John M. Stewart
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Learning IPython for Interactive Computing and Data Visualization (Paperback)
By:
Cyrille Rossant
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NumPy Beginner's Guide (Paperback)
By:
Ivan Idris
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Beginning Python Visualization: Crafting Visual Transformation Scripts (Books for Professionals by Professionals) (Volume 0)
By:
Shai Vaingast
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Python Data Science Cookbook (Kindle Edition)
By:
Gopi Subramanian
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IPython Interactive Computing and Visualization Cookbook (Kindle Edition)
By:
Cyrille Rossant
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Life 3.0: Being Human in the Age of Artificial Intelligence (Audio CD)
By:
Max Tegmark
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Grokking Deep Learning (ebook)
By:
Andrew W. Trask
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Quantum Machine Learning: What Quantum Computing Means to Data Mining (Hardcover)
By:
Peter Wittek
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Probabilistic Programming & Bayesian Methods for Hackers (ebook)
By:
Cameron Davidson-Pilon
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Doing Data Science: Straight Talk from the Frontline (Paperback)
By:
Cathy O'Neil
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
By:
Richard S. Sutton
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How Smart Machines Think (Hardcover)
By:
Sean Gerrish
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Python Machine Learning (Paperback)
By:
Sebastian Raschka
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Neural Networks and Deep Learning (ebook)
By:
Michael Nielsen
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Deep Learning (ebook)
By:
Ian Goodfellow
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The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Hardcover)
By:
Pedro Domingos
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Computer Vision: Algorithms and Applications (Texts in Computer Science)
By:
Richard Szeliski
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Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions (Paperback)
By:
Michael G. Milton
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R for Everyone: Advanced Analytics and Graphics (ebook)
By:
Jared P. Lander
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
By:
Gareth James
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R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)
By:
Paul Teetor