Every month I collect the most outstanding resources in the world of machine learning and put them together in a short report called Machine Learning Monthly. This video adds commentary to those resources. Jump to 21:25 for a review of the Machine Learning Engineering book by Andriy Burkov
0:00 - Intro/hello
1:29 - The 10 Commandments of Self-Taught Machine Learning Engineers
3:30 - Kevin's ML powered mask detecting Telegram Bot
6:50 - NLP fire sale (plethora of NLP resources)
7:25 - Modern Practical NLP by Johnathan Mugan
9:25 - Getting started with NLP by Elvis Saravia
10:35 - The Super Duper NLP repo (plenty of NLP examples) by Quantum Stat
12:30 - NLP News by Sebastian Ruder
14:00 - Phenomenal NLP repo by Tae-Hwan Jung
15:46 - State of AI Report 2020
16:40 - A 2020 guide to Data & Infrastructure
19:55 - Putting ML into production course by Made with ML
21:25 - My new favourite ML book: Machine Learning Engineering by Andriy Burkov
23:12 - The NumPy manifesto
25:18 - The Incredible PyTorch (bulk PyTorch examples) by Ritchie Ng
26:35 - Transformers for computer vision
30:15 - Training a custom object detection model for mobile guide by Jim Su from Roboflow
32:25 - Gradient Dissent podcast by Weights & Biases
34:00 - Summary/goodbye 馃憢
