zhama

zhama

Machine Learning Research Engineer in Computer Vision and Computer Graphics-Wētā Tools at Unity

How do FAANG Companies implement Machine Learning Implementation in Production?

less than 1 minute read

Published:

Figuring out how to implement your #ML Project?

Learn how Machine Learning is applied in #FAANG, and other top companies like: Google, Uber, Amazon, Netflix Lyft, Airbnb, and DoorDash? 🎬 📜 ⛴️

Sharing an excellent list of curated, and comprehensive papers, articles, and tech blogs by companies sharing their work on #datascience, and #machinelearning in production.

This is a list of 100+ papers and blogs covering a solid breadth and in-depth on how companies are solving forecasting problems, recommendation systems, search and ranking, computer vision, etc.

So much practical knowledge.

Click here to get full GitHub repo

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I would recommend these machine learning books

3 minute read

Published:

  1. Machine Learning Yearning by Andrew Ng. Artificial Intelligence is transforming numerous industries. Machine Learing Yaerning, a free ebook from Andrew Ng, teaches you how to structure Machine Learning projects. This book is focused not on teaching you ML algorithms, but on how to make ML algorithms work. After reading Machine Learning Yearning, you will be able to:
    • Prioritize the most promising directions for an AI project
    • Diagnose errors in a machine learning system
    • Build ML in complex settings, such as mismatched training/ test sets
    • Set up an ML project to compare to and/or surpass human- level performance
    • Know when and how to apply end-to-end learning, transfer learning, and multi-task learning.