C Programming for Machine Learning (LIVE) скачать в хорошем качестве

C Programming for Machine Learning (LIVE)

The ability to write implementations of machine learning algorithms in pure C allows developers to very efficiently manage memory allocation, concurrency, and control flow. That means fast implementations that can outperform preexisting models in other languages, including even (gasp) Python. It’s a useful skill to know and in this live stream I’ll use C and C-based Python tools like Cython + spaCy to develop some really fast natural language processing algorithms for text data. We’ll be able to tokenize, tag, normalize, vectorize, and dependency parse articles of text to derive valuable insights. No installation necessary, we'll do this together using Google Colab in the browser. Join me, there’s a lot to cover here! Code for this video: https://github.com/llSourcell/c_progr... Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter:   / sirajraval   Facebook:   / sirajology   instagram:   / sirajraval   This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine... More learning resources: https://pydata.org/berlin2016/schedul... https://smerity.com/articles/2018/cyt... https://explosion.ai/blog/writing-c-i... https://spacy.io/api/cython   / 100-times-faster-natural-language-processi...   Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Learn more about the School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.co