How to keep track of your Machine Learning experiments
Niland's approach to Machine Learning Research. Building A Successful Team by Christophe (CTO and founder)...
Read more »Machine Learning: Where Cloud Computing Is Heading in 2017
Here are key developments in cloud technology that will shape the industry and your IT budget in 2017 (and beyond).
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Machine Learning for Voice Made Easy
Spokestack Maker introduces sophisticated AutoML tools for voice interfaces to a new audience of prototypers, enthusiasts, and makers. (more…)
Read more »Apple’s Covert Machine Learning Strategy Takes a Step Out of the Shadows
For anyone that hasn’t been hiding under a rock for the last few years, it’s become abundantly clear that the largest IT firms on the planet are moving quickly to build up their capabilities in artificial intelligence. But the largest of them all, App...
Read more »Machine Learning Deserves Better Than This
This is an excellent overview at Stat on the current problems with machine learning in healthcare. It's a very hot topic indeed, and has been for some time. There has especially been a flood of manuscripts during the pandemic, applying ML/AI techniques to... (more…)
Read more »Quantum Machine Learning and the Power of Data
Posted by Jarrod McClean, Staff Research Scientist and Hsin-Yuan (Robert) Huang 1 , Intern, Google Quantum AI Quantum computing has rapi... (more…)
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