Tag tech-ml-coding-stats

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• Game programming in Haskell by Elise Huard
• Coding Democracy: How Hackers Are Disrupting Power, Surveillance, and Authoritarianism (The MIT Press) by Maureen Webb
• Mathematics for Machine Learning by Marc Peter Deisenroth
• The Hundred-Page Machine Learning Book by Andriy Burkov
• Haskell Programming From First Principles by Julie Moronuki
• Machine Learning: A Hands-On, Project-Based Introduction to Machine Learning for Absolute Beginners: Mastering Engineering ML Systems using Scikit-Learn and TensorFlow by Gabriel Rhys
• The Perfectionists: How Precision Engineers Created the Modern World by Simon Winchester
• Learning TensorFlow: A Guide to Building Deep Learning Systems by Tom Hope
• TensorFlow Machine Learning Cookbook by Nick McClure
• Deep Learning with Python by François Chollet
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron
• Python Data Science Essentials by Alberto Boschetti
• Deep Learning by Aaron Courville
• The Hitchhiker's Guide to Python: Best Practices for Development by Kenneth Reitz
• Mathematical Decision Making: Predictive Models and Optimization by Scott P. Stevens
• Statistical Rethinking: A Bayesian Course with Examples in R and Stan by Richard McElreath
• Data Science from Scratch: First Principles with Python by Joel Grus
• Machine Learning with R by Brett Lantz
• An Introduction to Statistical Learning: with Applications in R by Gareth James
• Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney

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