Ukraine

• How to deploy Machine Learning models as a Microservice using FastAPI
• Почему Вы должны попробовать FastAPI?
• How to deploy Machine Learning models as a Microservice using FastAPI
• How to deploy Machine Learning models as a Microservice using FastAPI
• How to deploy Machine Learning models as a Microservice using FastAPI

Ukraine

• - side scripting

Ukraine

• https://www.lyx.org/

Ukraine

Ukraine

• Machine Learning System Design

Ukraine

• - книга по нейросетям и глубинному обучению ([:octocat: repo on github](https://github.com/mnielsen/neural-networks-and-deep-learning))
• - week course, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision
• - то иначе охарактеризовать Джеффри Хинтона (человека, стоящего у истоков современных подходов к обучению нейросетей с помощью алгоритма обратного распространения ошибки) сложно. Курс у него получился отличный»
• - книга по нейросетям и глубинному обучению ([:octocat: repo on github](https://github.com/mnielsen/neural-networks-and-deep-learning))
• - week course, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision
• - domain question answering;

Ukraine

• 100-best-github-machine-learning
• курса «Математика и Python» - recommendations.md)|
• Литература для поступления в ШАД
• Machine learning cheat sheet - soulmachine (2015)|
• Top-down learning path: Machine Learning for Software Engineers
• 100-Days-Of-ML-Code
• ml-course-msu
• trekhleb, homemade-machine-learning
• trekhleb, machine-learning-experiments
• trekhleb, machine-learning-octave
• Machine Learning Notebooks
• data-science-blogs
• Probabilistic Programming and Bayesian Methods for Hackers
• ml-surveys
• Machine_Learning_and_Deep_Learning
• MachineLearning_DeepLearning
• Machine Learning Guide
• 100-best-github-machine-learning
• Machine learning cheat sheet - soulmachine (2015)|

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• Kaggle
• Google’s Public Data Sets
• UCI Machine Learning Repository

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• Code

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