Ukraine

Ukraine

• - into-machine-learning)) with Python Jupyter notebook and scikit-learn
• - notebook на русском языке
• - руководство по нюансам языка, мимо которых часто проходят новички (автор — Yasoob Khalid);
• - learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Ukraine

• - org/mlr)) — Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions;

Ukraine

Ukraine

• David Silver's Reinforcement Learning Course (UCL, 2015)
• Course website
• Reinforcement Learning: An Introduction (2nd Edition)
• CS294-112 - Deep Reinforcement Learning (UC Berkeley)
• CS885 - Reinforcement Learning (UWaterloo), Spring 2018
• Introduction to Reinforcement Learning (Joelle Pineau @ Deep Learning Summer School 2016)
• Deep Reinforcement Learning (Pieter Abbeel @ Deep Learning Summer School 2016)
• Deep Reinforcement Learning ICML 2016 Tutorial (David Silver)
• Tutorial: Introduction to Reinforcement Learning with Function Approximation
• John Schulman - Deep Reinforcement Learning (4 Lectures)
• Deep Reinforcement Learning Slides @ NIPS 2016
• OpenAI Spinning Up
• CS 8803 - Reinforcement Learning (Georgia Tech)
• Introduction to Reinforcement Learning (Joelle Pineau @ Deep Learning Summer School 2016)
• Deep Reinforcement Learning (Pieter Abbeel @ Deep Learning Summer School 2016)
• Deep Reinforcement Learning ICML 2016 Tutorial (David Silver)
• John Schulman - Deep Reinforcement Learning (4 Lectures)
• dennybritz/reinforcement-learning
• Introduction to Reinforcement Learning (Joelle Pineau @ Deep Learning Summer School 2016)
• Deep Reinforcement Learning (Pieter Abbeel @ Deep Learning Summer School 2016)
• John Schulman - Deep Reinforcement Learning (4 Lectures)

Ukraine

Ukraine

• - T. Hastie, R. Tibshirani, J. Friedman
• - test, ANOVA, корреляция, регрессия и др.)
• - T. Hastie, R. Tibshirani, J. Friedman

Ukraine

• Tutorials

Ukraine

• Early stopping
• Code
• MNIST Database
• Code
• Code
• Code
• Understanding GRU Networks
• Code
• SMS Spam Collection Dataset
• Code
• Base text - **Alice in Wonderland**
• Formatted text of **Alice in Wonderland**
• implementation - character inputs as described in the original paper and improving [GauthierDmns' code](https://github.com/GauthierDmn/question_answering).
• Paper
• Used Articles
• Understanding GRU Networks
• Understanding GRU Networks
• Understanding GRU Networks
• Understanding GRU Networks
• Code
• Code
• SMS Spam Collection Dataset
• Code
• Base text - **Alice in Wonderland**
• Formatted text of **Alice in Wonderland**
• Paper
• Used Articles
• Subset of MNIST
• Understanding GRU Networks