In this post I am going to talk about three books about AI and Machine Learning that I find a must read for every lover of these topics. The experiences obtained from reading these books vary widely…
If you're new to the world of machine learning (ML), then consider reading these seven ML books aimed specifically for beginners.
you will learn about pre-processing your data before feeding it to the model and understand the different machine learning models such as classification, support vector machines, decision trees, random forests, unsupervised learning, and deep learning. ...
If you have started learning machine learning, then it must have occurred to you how essential mathematics is in machine learning. There are a few books that beautifully define the ideas of machine learning but don’t concentrate much on the mathematics behind that ML concepts, this is when Ma...
Final Thoughts on Books about Generative AI As I wrap up this exploration of the top Generative AI books, I'm struck by the pace at which the field is advancing. Each book has offered a unique perspective, from technical development to using prompts that utilizes models like GPT-4. I can...
https://github.com/loveunk/Deep-learning-books 好文要顶 关注我 收藏该文 微信分享 郭新晨 粉丝- 9 关注- 1 +加关注 0 0 升级成为会员 « 上一篇: MyBooksCollection » 下一篇: SFM三维重建数据集 posted @ 2020-05-23 21:33 郭新晨 阅读(93) 评论(0) 编辑 收藏 举报 ...
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond - FL-HAR/Awesome-Federated-Machine-Learning
Confused about the theories underlying machine learning frameworks? Dive deep into the details with these freely available texts There are few subjects in computing as fascinating, or intimidating, as machine learning. Let’s face it — you can’t master machine learning in a weekend, and at ...
This document attempts to develop a curated list of Machine Learning resources, including books, papers, software, libraries, notebooks, etc. Most of the libraries are for Python though the rest of the materials here are generally suited for working with data. ...
engagement with the sort of real-world problems data-wranglers face, you’ll learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, market analysis, and clustering. Transform the way you think about data; discover machine learning with R...