Episode 280: JSJ 278 Machine Learning with Tyler Renelle

JavaScript Jabber

English - September 12, 2017 12:00 - 58 minutes - 54.2 MB - ★★★★ - 56 ratings
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Previous Episode: Episode 279: JSJ BONUS: Web Apps on Linux with Jeremy Likness and Michael Crump

Next Episode: Episode 281: JSJ 279: ES Modules in Node Today! with John-David Dalton

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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

Data Skeptic
Ready Player One

Joe

Everybody Lies

Tyler

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

Special Guest: Tyler Renelle.