Episode 280: JSJ 278 Machine Learning with Tyler Renelle

JavaScript Jabber

• Episode: Episode 280: JSJ 278 Machine Learning with Tyler Renelle
• Website: JavaScript Jabber
• Feed URL: https://feeds.feedwrench.com/JavaScriptJabber.rss
• Duration: 00:58:40
• Published: 2017-09-12 14:00

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Tyler Renelle is a contractor and developer who has worked in various web technologies like Node, Angular, Rails, and much more. He's also build machine learning backends in Python (Flask), Tensorflow, and Neural Networks.

The JavaScript Jabber panel dives into Machine Learning with Tyler Renelle. Specifically, they go into what is emerging in machine learning and artificial intelligence and what that means for programmers and programming jobs.

This episode dives into:

• Whether machine learning will replace programming jobs
• Economic automation
• Which platforms and languages to use to get into machine learning
• and much, much more...

Links:

• Raspberry Pi
• Arduino
• Hacker News
• Neural Networks (wikipedia)
• Deep Mind
• Shallow Algorithms
• Genetic Algorithms
• Crisper gene editing
• Wix
• thegrid.io
• Codeschool
• Codecademy
• Tensorflow
• Keras
• Machine Learning Guide
• Andrew Ng Coursera Course
• Python
• R
• Java
• Torch
• PyTorch
• Caffe
• Scikit learn
• Tensorfire
• DeepLearn.js
• The Singularity is Near by Ray Kurzweil
• Tensorforce
• Super Intelligence by Nick Bostrom

Picks:

Aimee

• Include media
• Nodevember
• Phone cases

AJ

• Data Skeptic
• Ready Player One

Joe

• Everybody Lies

Tyler

• Ex Machina
• Philosophy of Mind: Brains, Consciousness, and Thinking Machines

Special Guest: Tyler Renelle.