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.io
CacheFly

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:

NVIDIA RTX Voice: Setup Guide

Charles Max Wood:

Russell Brunson’s books

Jorge Torres:

Iain M. Banks, Author on Amazon
krisp.ai

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