Machine Learning, Animated PDF
by Mark Liu
Part of the Chapman & Hall/CRC Machine Learning & Pattern Recognition series
Description
The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand. Machine Learning, Animated eases you into basic ML concepts and summarizes the learning process in three words: initialize, adjust and repeat. This is illustrated step by step with animation to show how machines learn: from initial parameter values to adjusting each step, to the final converged parameters and predictions.
This book teaches readers to create their own neural networks with dense and convolutional layers, and use them to make binary and multi-category classifications. Readers will learn how to build deep learning game strategies and combine this with reinforcement learning, witnessing AI achieve super-human performance in Atari games such as Breakout, Space Invaders, Seaquest and Beam Rider.
Written in a clear and concise style, illustrated with animations and images, this book is particularly appealing to readers with no background in computer science, mathematics or statistics.
Access the book's repository at: https://github.com/markhliu/MLA
Information
-
Download - Immediately Available
- Format:PDF
- Pages:464 pages
- Publisher:CRC Press
- Publication Date:31/10/2023
- Category:
- ISBN:9781000964776
Other Formats
- Hardback from £74.99
- EPUB from £60.74
Information
-
Download - Immediately Available
- Format:PDF
- Pages:464 pages
- Publisher:CRC Press
- Publication Date:31/10/2023
- Category:
- ISBN:9781000964776
