Open source tools, AI for Dota, and enterprise ML adoption
Practical AI: Machine Learning, Data Science
English - August 21, 2018 15:09 - 31 minutes - 43.8 MB - ★★★★★ - 37 ratingsTechnology Education How To changelog machine learning deep learning artificial intelligence neural networks computer vision Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Behavioral economics and AI-driven decision making
Next Episode: Robot Perception and Mask R-CNN
This week, Daniel and Chris talk about playing Dota at OpenAI, O’Reilly’s machine learning survey, AI-oriented open source (Julia, AutoKeras, Netron, PyTorch), robotics, and even the impact AI strategy has on corporate and national interests. Don’t miss it!
This week, Daniel and Chris talk about playing Dota at OpenAI, O’Reilly’s machine learning survey, AI-oriented open source (Julia, AutoKeras, Netron, PyTorch), robotics, and even the impact AI strategy has on corporate and national interests. Don’t miss it!
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Featuring:
Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website
Show Notes:
The State of Machine Learning Adoption in the Enterprise
AutoKeras: The Killer of Google’s AutoML
Netron NN visualizer
What’s the Purpose of Companies in the Age of AI?
Julia 1.0
AI Nationalism
OpenAI and Dota
PyTorch Tutorials
How to Get Started in Machine Learning and Robotics
Something missing or broken? PRs welcome!