ML 004: Automated Machine Learning ML with Jorge Torres

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 Machine Learning for Software Engineers by Educative.ioCacheFly Panel Charles Max WoodGant Laborde Guest Jorge Torres Links www.mindsdb.compytorch.orgtensorflow.orgwww.geeksforgeeks.org/confusion-matrix-machine-learningwww.pyimagesearch.com/2020/02/17/autoencoders-with-keras-tensorflow-and-deep-learninghttps://www.kiwibot.com/ Picks Gant Laborde: NVIDIA RTX Voice: Setup Guide Charles Max Wood: Russell Brunson’s books Jorge Torres: Iain M. Banks, Author on Amazonkrisp.ai Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.