Here is another resource I use for teaching my students at AI for Edge computing course. I like this resource because I like the cookbook style of learning to code. The resource is based on the book Machine…
ContinueAdded by ajit jaokar on December 29, 2019 at 11:30pm — No Comments
You can always learn a lot from the papers presented at NeurIPS
There is some good analysis already on the web.
From Chip Huygen – neurips 2019 analysis and from David…
ContinueAdded by ajit jaokar on December 25, 2019 at 7:54am — No Comments
AI and the future of work is a major topic of discussion
Most views on this subject are negative
More broadly, the negative impact of technology has been highlighted by Nicholas Carr (the shallows) ,…
ContinueAdded by ajit jaokar on December 22, 2019 at 1:30pm — No Comments
Academia and industry take different approaches to building machine learning and deep learning models
Here are seven differences
1) Approach to accuracy:…
ContinueAdded by ajit jaokar on December 18, 2019 at 12:45pm — No Comments
How to know which AI/ ML algorithm to apply to which business problem?
This is a common question
I found a good reference for it –…
ContinueAdded by ajit jaokar on December 13, 2019 at 10:18am — 2 Comments
The Digital Shopfloor: Industrial Automation in the Industry 4.0 Era looks like a great free open access book by John Soldatos, Oscar Lazaro and Franco Antonio Cavadini
The book deals with the transformation of the shop floor and the wider supply chain by the deployment of Industrial IoT
Some of…
ContinueAdded by ajit jaokar on December 3, 2019 at 12:20pm — No Comments
Posted 1 March 2021
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