I've got a new favourite machine learning book | Machine Learning Monthly October 2020
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.
Read/Sign up:
ML Monthly October 2020 - https://zerotomastery.io/blog/machine-learning-monthly-october-2020/
Machine Learning Engineering Book - https://amzn.to/3mbelZq
Send your work through to be featured in a feature episode:
daniel at mrdbourke dot com
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My beginner-friendly course - https://dbourke.link/ZTMMLcourse
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Private newsletter - https://dbourke.link/newsletter
Medium - https://dbourke.link/medium
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LinkedIn - https://dbourke.link/linkedin
Timestamps:
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 👋
#machinelearning
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Chapters (19)
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 Robof
32:25
Gradient Dissent podcast by Weights & Biases
34:00
Summary/goodbye 👋
🎓
Tutor Explanation
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