Under the Decision Tree (#10)
Welcome back for another edition of Under the Decision Tree. Our weekly selection of machine learning articles, podcasts, conferences, and blogs.
News/Articles
- Scientists decode how the human brain recognises faces
- Uber Buys a Mysterious Startup to Make Itself an AI Company
- Will Tim Cook Ever Stop Overhyping Apple To Investors?
- Uber Creates AI Labs; Buys Startup To Staff It
- Microsoft, Cray claim deep learning breakthrough on supercomputers
- Image datasets released by Google to speed machine learning
- Why You’re Not Getting Value from Your Data Science
- Artificial Intelligence Is The Next “Killer Feature” In Enterprise Software
- Can AI really run a traditional bank with no staff? This startup thinks so
- AI Systems: The Brains Behind the Bots
- Microsoft brings F# to Jupyter Notebooks on Azure
- The evolution of deep learning and machine learning
- Apple’s Covert Machine Learning Strategy Takes a Step Out of the Shadows
- DoseMe eyes machine learning to boost analytics platform
- Artificial intelligence, machine learning find role in radiology
- Novel machine learning approach could help predict dementia risk in cognitively healthy older people
- Machine Learning Is Very Different Than Artificial Intelligence
- [Year Ahead 2017: Machine Learning Reboots Cybersecurity](Year Ahead 2017: Machine Learning Reboots Cybersecurity)
- Neural networks? Machine learning? Here’s your secret decoder for AI buzzwords
- A Guide to Solving Social Problems with Machine Learning
Podcasts
- 2016-12-06 - Data Stories - Re-designing Visualizations on #MakeoverMonday with Andy Kriebel and Andy Cotgreave
- 2016-12-04 - Linear Digressions - Attacking Discrimination in Machine Learning
Upcoming Conferences
- January 25-26 2017, Big Data Innovation Summit, Las Vegas, NV
- January 26-27 2017, Deep Learning Summit, San Francisco, CA
Our Favorite Blog Listings
- O’Reilly Ideas
- R-Bloggers
- Revolutions
- Azure Machine Learning
- Cortana Intelligence and Machine Learning Blog
Please send any suggestions to: Decision Tree We would love to hear from you.
