List of Ebooks for Data Science

The Law - The mathematical foundations Statistical Inference - Casella & Berger Foundations of Applied Mathematics History - Foundational works that provide additional context for more advanced concepts Convex Optimization - Boyd & Vandenberghe Probability Theory: The Logic of Science - Jaynes Clean Code - Martin Poetry - Prose type works The Art of Data Analysis Why Predictions Fail Weapons of Math Destruction Major Prophets - Seminal works on major topics Applied Regression Analysis - Draper & Smith

List of Github Repository for Data Science

The Data Engineering Cookbook, Github A curated list of data engineering tools for software developers, Github Data Engineering Zoomcamp, Github Python Data Science Handbook: full text in Jupyter Notebooks, Github Data Science for Beginners - A Curriculum, Github Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. Github Papers & tech blogs by companies sharing their work on data science & machine learning in production.