New book by Andrew Ng
Drawn from his experience leading Google Brain, Baidu's AI Group, and Landing AI, this 5-step Playbook provides a roadmap for your company to transform into a great AI company.
Site: https://landing.ai/ai-transformation-playbook
Direct link: https://d6hi0znd7umn4.cloudfront.net/content/uploads/2018/12/AI-Transformation-Playbook.pdf
#book
Drawn from his experience leading Google Brain, Baidu's AI Group, and Landing AI, this 5-step Playbook provides a roadmap for your company to transform into a great AI company.
Site: https://landing.ai/ai-transformation-playbook
Direct link: https://d6hi0znd7umn4.cloudfront.net/content/uploads/2018/12/AI-Transformation-Playbook.pdf
#book
Free book on #PyTorch
Book with all the information required to work with one of the most popular #dl frameworks.
Link: https://twitter.com/PyTorch/status/1197603717144432640?s=20
#book #manual
Book with all the information required to work with one of the most popular #dl frameworks.
Link: https://twitter.com/PyTorch/status/1197603717144432640?s=20
#book #manual
Twitter
PyTorch
To help developers get started with PyTorch, we’re making the 'Deep Learning with PyTorch' book, written by Luca Antiga and Eli Stevens, available for free to the community: https://t.co/KH52NW0Itl
Simple book about #ML — Machine Learning Simplified
The main purpose of the book is to build an intuitive understanding of how algorithms work through basic examples. In order to understand the presented material, it is enough to know basic mathematics and linear algebra.
After reading this book, you will know the basics of supervised learning, understand complex mathematical models, understand the entire pipeline of a typical ML project, and also be able to share your knowledge with colleagues from related industries and with technical professionals.
And for those who find the theoretical part not enough - the book is supplemented with a repository on GitHub, which has Python implementation of all methods and algorithms described in chapters.
Book is absolutely free to read.
Link: themlsbook.com
#wheretostart #book
The main purpose of the book is to build an intuitive understanding of how algorithms work through basic examples. In order to understand the presented material, it is enough to know basic mathematics and linear algebra.
After reading this book, you will know the basics of supervised learning, understand complex mathematical models, understand the entire pipeline of a typical ML project, and also be able to share your knowledge with colleagues from related industries and with technical professionals.
And for those who find the theoretical part not enough - the book is supplemented with a repository on GitHub, which has Python implementation of all methods and algorithms described in chapters.
Book is absolutely free to read.
Link: themlsbook.com
#wheretostart #book
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