Datascience


Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Storytelling with Data: A Data Visualization Guide for Business Professionals
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Python for Data Analysis
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Practical Statistics for Data Scientists: 50 Essential Concepts
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
Pattern Recognition and Machine Learning (Information Science and Statistics)
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't
Machine Learning: A Probabilistic Perspective
Deep Learning
The Visual Display of Quantitative Information
The Grammar of Graphics by Leland WilkinsonAn Introduction to Statistical Learning by Gareth JamesAdvanced R by Hadley WickhamThe Misbehavior of Markets by Benoît B. MandelbrotThe Black Swan by Nassim Nicholas Taleb
The Well Rounded Data Scientist
82 books — 9 voters

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