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Most wished for Databases Top 10 Amazon news


Top 10: #1: Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are


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Everybody Lies
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Seth Stephens-Davidowitz
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Top 10: #2: Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are


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Everybody Lies
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Seth Stephens-Davidowitz
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Top 10: #3: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems


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Hands-On Machine Learning with Scikit-Learn and TensorFlow
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Aurélien Géron
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Top 10: #4: Don't Make Me Think, Revisited: A Common Sense Approach to Web Usability (3rd Edition) (Voices That Matter)


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Don't Make Me Think, Revisited
Don't Make Me Think, Revisited: A Common Sense Approach to Web Usability (3rd Edition) (Voices That Matter)
Steve Krug
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Top 10: #5: Code: The Hidden Language of Computer Hardware and Software


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Code
Code: The Hidden Language of Computer Hardware and Software
Charles Petzold
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Top 10: #6: R for Data Science: Import, Tidy, Transform, Visualize, and Model Data


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R for Data Science
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham , Garrett Grolemund
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Top 10: #7: Python Machine Learning


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Python Machine
Python Machine Learning
Sebastian Raschka
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Top 10: #8: The Algorithm Design Manual


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The Algorithm
The Algorithm Design Manual
Steven S Skiena
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Top 10: #9: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems


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Hands-On Machine Learning with Scikit-Learn and TensorFlow
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Aurélien Géron
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Top 10: #10: Practical Statistics for Data Scientists: 50 Essential Concepts


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Practical Statistics for Data Scientists
Practical Statistics for Data Scientists: 50 Essential Concepts
Peter Bruce , Andrew Bruce
Publication Date: June 2, 2017

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