Data scientists should be more end-to-end | Machine Learning Monthly September 2020

Описание: Every month I review the latest and greatest resources in the world of machine learning in a newsletter called Machine Learning Monthly. This is the video version of that newsletter for September 2020.

And as usual, it's been a massive month on tour.

Read the blog post - https://zerotomastery.io/blog/machine...
Learn ML (beginner-friendly course) - https://dbourke.link/mlcourse
Updates on my work - https://dbourke.link/newsletter

Timestamps:
0:00 - Intro and hello
0:57 - How I'd start learning ML again video
1:47 - Shivan's project to analyze my YouTube data
4:16 - Free advanced NLP with spaCy course
5:43 - Explosion AI (one of my favourite AI companies)
6:15 - Text classification with TFIDF vs Word2Vec vs BERT
7:16 - TFIDF formula
8:35 - Super efficient on-device NLP
11:10 - Story of working on a NLP ML project
13:07 - Machine Learning from Scratch book by Danny Friedman
15:33 - 42 day project framework
16:05 - Learning Math for Machine Learning
17:35 - One of my favourite quotes on learning
19:06 - Four great questions for any ML project
19:48 - Data scientists should be more end-to-end
22:43 - Story of being held back on a project
25:34 - GitHub Actions for MLOps & Data Science
27:15 - Microsoft DeepSpeed framework for faster and more efficient model training
30:32 - Roboflow's Ultimate Guide to Object Detection in 2020
33:37 - Using AI and computer vision for agriculture
36:25 - My favourite resource for the month
37:00 - Outro

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