Understanding all of Python, through its builtins
Python as a language is comparatively simple. And I believe, that you can learn quite a lot about Python and its features, just by learning what all of its builtins are, and what they do. And to back up that claim, I'll be doing just that. Just to be clear, this is not going to be a tutorial post. Covering such a vast amount of material in a single blog post, while starting from the beginning is p
GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🌍 Travel around the world as we explore Machine Learning by means of world cultures 🌍 Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our AI for Beginners
SciSharp STACK
A .NET based Open Source Ecosystem for Data Science, Machine Learning and AI SciSharp brings all major ML/AI Frameworks from Python to .NET .NET developers are most productive with the tools they know and love. Our mission is to make sure that they don't have to leave that behind when reaching for opportunities in Data Science Machine Learning and AI. The well established Python based Machine Lear
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GNU Makeの使い方 / How to use GNU Make
Djangoフレームワークの紹介 OSC2018do
