Deepmind has shared a curated record of sources for individuals curious about studying synthetic intelligence, machine studying and associated topics.
The topics are categorised into Introductory, Intermediate, Advanced and Mixed ranges. The record accommodates hyperlinks to newsletters, weblog posts, movies, analysis papers and on-line notes with data on topics associated to synthetic intelligence and machine studying. It additionally supplies hyperlinks to one of the best programs on AI and ML on Coursera, Colab notebooks, digital books and podcasts to convey you up to the mark on the newest developments in Neuroscience, Deep Learning and Robotics.
A number of noteworthy mentions from the record embody:
1.A 2020 imaginative and prescient of Linear Algebra (Gilbert Strang, MIT) concisely summarises a complete course of linear algebra, with technical particulars, by a brand new lens: how Linear Algebra is being utilized to the true world, particularly in Machine Learning.
2. An overview of gradient descent optimization algorithms complete weblog submit that critiques the primary variants of gradient descent that are used to optimize neural networks.
3. Brain Inspired Podcast the place neuroscience and AI converge.
Deepmind has been spearheading analysis in AI house since 2010. Deepmind’s analysis crew is dedicated to construct novel computer systems that may study to search out options to troublesome issues on their very own.Access the record right here.
https://analyticsindiamag.com/deepmind-shares-a-list-of-free-ai-ml-resource/