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How to Learn Machine Learning, The Self-Starter Way
Beat Atari with Deep Reinforcement Learning! (Part 1: DQN)
GitHub - jaromiru/AI-blog: Accompanying repository for Let's make a DQN / A3C series.
An intro to Advantage Actor Critic methods: let’s play Sonic the Hedgehog!
[https://medium.freecodecamp.org/an-intro-to-advantage-actor-critic-methods-lets-play-sonic-the-hedgehog-86d6240171d] - - public:stevetao
AI generated people photos
The Neural Network Zoo - The Asimov Institute
[http://www.asimovinstitute.org/neural-network-zoo/?utm_content=buffer607bd&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer] - - public:stevetao
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data | H3ll0 Un1v3rse
[http://hellowuniverse.com/2017/09/15/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data/] - - public:stevetao
What are some of the seminal papers on deep learning? - Quora
TensorFlow Tutorial: Deep Learning for Beginner’s
CartPole v0 · openai/gym Wiki · GitHub
Free Book on Neural Network : Artificial Intelligence | Download free books legally
[https://www.topfreebooks.org/free-books-on-neural-network-artificial-intelligence/] - - public:stevetao
Free Computer Science eBooks Online : Artificial Intelligence | Download free books legally
[https://www.topfreebooks.org/free-computer-science-ebooks-online-artificial-intelligence/] - - public:stevetao
Free Online Courses : Computer Science and Artificial Intelligence | Download free books legally
[https://www.topfreebooks.org/free-online-courses-computer-science-and-artificial-intelligence/] - - public:stevetao
Ask HN: Engineers from non-CS background, how did you pivot into ML/AI? | Hacker News
Remove Background from Image – remove.bg
[https://www.remove.bg/] - - public:xxx
Remove Image Background: 100% automatically – in 5 seconds – without a single click
Artificial Intelligence through Prolog by Neil C. Rowe
Boosting
[https://mitpress.mit.edu/sites/default/files/titles/content/boosting_foundations_algorithms/titlepage.html] - - public:stevetao
Gaussian Processes for Machine Learning: Contents
The Future of Machine Intelligence [Book]
[https://www.oreilly.com/library/view/the-future-of/9781492042334/?intcmp=il-data-free-lp-lgen_free_reports_page] - - public:stevetao
Machine Learning for Designers [Book]
Applied Machine Learning in Python with scikit-learn — scikit-learn tutorial v0.7+ documentation
10 best books on artificial intelligence
[https://bigthink.com/Charles-Koch-Foundation/forced-examination-how-the-free-speech-of-others-benefits-us-all] - - public:stevetao
LIONbook - intelligent-optimization.org for prescriptive analytics
Reinforcement Learning | IntechOpen
Artificial Intelligence: Foundations of Computational Agents, 2nd Edition
Artificial Intelligence - Agent Behaviour - Download link
Computers and Thought
Ambient Intelligence | IntechOpen
Machine Learning, Neural and Statistical Classification
Affective Computing | IntechOpen
Planning Algorithms / Motion Planning
Bioinspired Computation in Combinatorial Optimization
Nils J. Nilsson Home Page
Common Lisp: A Gentle Introduction to Symbolic Computation
Clever Algorithms: Nature-Inspired Programming Recipes | Table of Contents
[http://www.cleveralgorithms.com/nature-inspired/index.html] - - public:stevetao
Clever Algorithms: Nature-Inspired Programming Recipes
Essentials of Metaheuristics
Mark Watson: consultant specializing in artificial intelligence, machine, and natural language processing learningMark Watson: consultant specializing in artificial intelligence, machine, and natural language processing learning
Simply Logical
A Course in Machine Learning
20 free books to get started with Artificial Intelligence
[https://bigdata-madesimple.com/20-free-books-to-get-started-with-artificial-intelligence/] - - public:stevetao
Are you searching for some best books to get acquainted with the basics of AI? Here is a list of 20 free books on Artificial Intelligence.
Artificial Intelligence: A Modern Approach
Machine Learning Yearning
Deep Learning
Mining of Massive Datasets
The Ancient Art of the Numerati
Bayesian Methods for Hackers
[http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/] - - public:stevetao
Understanding Machine Learning
Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition.
10 Free Must-Read Books for Machine Learning and Data Science
[https://www.kdnuggets.com/2017/04/10-free-must-read-books-machine-learning-data-science.html] - - public:stevetao