Automated Machine Learning (AutoML) - Haifeng Jin | Podcast #66
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Haifeng Jin is a software engineer on Keras team at Google. He is the creator of AutoKeras, coauthor of Keras Tuner, and a contributor to Keras and TensorFlow. Haifeng got his Ph.D. in computer science at Texas A&M University. His research interest is automated machine learning (AutoML).
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TIME STAMPS
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0:00 : Intro
1:25 : Intro Haifeng
2:48 : Classical vs. Automated ML
3:50 : Difference in ML pipeline
6:03 : AutoML Algorithm Choice
8:02 : How does AutoML work under the hood?
10:24 : What can be automated?
12:37 : Do you have to be an expert to use AutoML?
14:34 : How much computational effort can be saved?
16:42 : Save time by using AutoML?
17:39 : Tensorflow, Autokeras, Keras API, Keras Tuner
24:29 : Limitation from AutoML
28:40 : The Future of AutoML
30:11 : Impact of AutoML on specific industries
31:46 : Does AutoML keep training when one model fails?
33:25 : Recommender System for User possible?
36:58 : How can people contribute?
39:28 : Haifeng's AutoML Book Content
Podcast Recorded: August, 16th 2021 - Subscriber Release Count: 13,934.