JSJ 278 Machine Learning with Tyler Renelle
JavaScript Jabber - En podcast af Charles M Wood - Tirsdage
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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
AJ
Joe
Tyler
