Show notes
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
- Charles Max Wood
- Gant Laborde
Guest
- Jorge Torres
Links
- 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/
Picks
Gant Laborde:
Charles Max Wood:
- Russell Brunson’s books
Jorge Torres:
Follow Adventures in Machine Learning on Twitter > @podcast_ml
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy