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ML 004: Automated Machine Learning ML with Jorge Torres
About this Episode
Implementing deep learning algorithms require knowledge of various DL libraries, how to interface outside files or streaming data to it, along with tuning all sorts of parameters. Deep Learning also does not give you much explanation on what features contribute to a model working well. Jorge Torres discusses MindsDB, a new framework for AutoML that simplifies implementation of neural network models for researchers, along with providing explanation of features. Sponsors Panel
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- Charles Max Wood
- Gant Laborde
- Jorge Torres
- www.mindsdb.com
- pytorch.org
- tensorflow.org
- www.geeksforgeeks.org/confusion-matrix-machine-learning
- www.pyimagesearch.com/2020/02/17/autoencoders-with-keras-tensorflow-and-deep-learning
- https://www.kiwibot.com/
- Russell Brunson’s books
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
No transcript available for this episode.
