Resources
Welcome to resources, we are glad you ended up here. Whether you are looking to begin your contributing journey or you want to master your data science skills or whether you found an issue and want to notify us, this list will help you get onward with your journey.
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Blogs
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Data Science
Data Visualization
Machine Learning
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Misc
Books
Concepts
- Databases
- Data Mining
- Information Retrieval
- Licensing
- Machine Learning
- A Brief Introduction to Machine Learning for Engineers by Osvaldo Simeone
- A Brief Introduction to Neural Networks
- A Course in Machine Learning
- A First Encounter with Machine Learning
- Algorithms for Reinforcement Learning by Csaba Szepesvári
- An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
- Bayesian Reasoning and Machine Learning by David Barber
- Computer Vision by Dana Ballard, Chris Brown
- Computer Vision: Algorithms and Applications by Richard Szeliski
- Computer Vision: Models, Learning, and Inference by Simon J.D. Prince
- Convex Optimization – Boyd and Vandenberghe
- Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville
- Gaussian Processes for Machine Learning by Carl Edward Rasmussen and Christopher K. I. Williams
- Information Theory, Inference, and Learning Algorithms
- Introduction to Machine Learning by Amnon Shashua
- Learning Deep Architectures for AI
- Machine Learning
- Machine Learning, Neural and Statistical Classification
- Neural Networks and Deep Learning
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction - Second Edition, February 2009 by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
- The LION Way: Machine Learning plus Intelligent Optimization
- Regular Expressions
- Spark
Languages
Mathematics
- Algebra
- Calculus
- Misc.
- Probability & Statistics
