Level up your software engineering skills as a data scientist | ML Monthly February 2021
How do you go from a data scientist or machine learning researcher to building full-stack applications? In this episode of Machine Learning Monthly, I cover resources to answer that question such as Lj Miranda's blog post on improving your software engineering skills as a researcher. Plus plenty more from the ML space during February 2021.
Links:
Read the post - https://zerotomastery.io/blog/machine-learning-monthly-february-2021/
My courses:
Learn Machine Learning (beginner) - https://dbourke.link/mlcourse
Learn TensorFlow and Deep Learning - https://dbourke.link/ZTMTFcourse
Connect elsewh…
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Chapters (17)
Intro/dancing/hello
1:01
Where to sign up for ML Monthly emails
1:30
My new TensorFlow course
2:45
See me code live on Twitch (https://www.twitch.tv/mrdbourke)
3:00
My ML deployment tutorial for CS329s
4:11
Using deep learning to read brainwaves
7:07
Alvaro’s guide to TensorFlow Serving
9:05
Chip Huyen’s MLOps Tooling Landscape v2 blog post
11:08
ML is going real-time by Chip Huyen
14:04
Using GitHub for MLOps
15:42
Upgrade your software engineering skills as a machine learning practitioner
17:42
freeCodeCamp’s upcoming DS + ML curriculum
19:22
Transformers from scratch by Peter Bloem
21:44
Estimating training data influence with TracIn
24:40
Learn fundamental statistics with Python
26:25
The most important statistical ideas of the past 50 years
28:56
Outro/submit your work/more dancing
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