Panel: First Steps with Machine Learning

Panel: First Steps with Machine Learning

  • August 4, 2019
Table of Contents

Panel: First Steps with Machine Learning

This panel is a very diverse group, and I’m actually going to let them introduce themselves rather than me trying to butcher any names. This is all about answering my need, literally, my first steps. What should I be focused on as a software engineer wanting to get into ML and start using ML more convinced leadership on things that I want to do?

For example, I work for an edge company deploying use cases at edge, so I want to be able to use machine learning to be able to anomaly-detect things at the edge. I want to be able to reduce the amount of data that’s coming back to origins, things like that, so this is a self-serving panel for me.

Source: infoq.com

Tags :
Share :
comments powered by Disqus

Related Posts

AQR’s Problem With Machine Learning: Cats Morph Into Dogs

AQR’s Problem With Machine Learning: Cats Morph Into Dogs

Machine learning has done magic, such as beating human chess champions. But in finance, expectations for the technology may need to come down a notch or two, according to quantitative firm AQR. Machine learning changes the way problems are solved.

Read More
Detecting malaria with deep learning

Detecting malaria with deep learning

Artificial intelligence (AI) and open source tools, technologies, and frameworks are a powerful combination for improving society. ‘Health is wealth’ is perhaps a cliche, yet it’s very accurate! In this article, we will examine how AI can be leveraged for detecting the deadly disease malaria with a low-cost, effective, and accurate open source deep learning solution.

Read More