coderjack

Google's TurboQuant vector compression implementation in Rust. Includes a persistent memory harness for AI agents.

nice

surely awkward.... :-)

All credits goes to the original author.

The list is for beginners.Ofcourse data science is a huge domain and you can't actually make a roadmap to be a master in this field but I am sure this list will help people to get basic understanding of what to read and how to workout things.

Yes its true that neural nets are not used in commercial systems because its computation intensive and also needs huge infrastructure even for things like finding cat images out of youtube videos but the results are far more accurate then any of the statistical methods used in commercial systems. There is time-performance trade-off when it comes to choosing statistical methods over neural nets and also it's a field yet to be explored. I will be writing a series of article on neural nets for beginners and advanced programmers . Please stay tuned.

Thanks for liking this post. But the actual credits must go to the author of this text as I am just another fan of this book like you are now.

You may also want to read the chapter on fractal programming in this book. Its pretty intuitive too.

The line in the background is the function towards which the neural net is expected to converge.

very well structured and detailed report...wiil be waiting for more from beevolve..