Machine learning engineer Daniel Bourke shares some of the best books for learning machine learning. I’ve been learning machine learning for the past two years now, these books have all been instrumental throughout.
Book links (in order):
Machine Learning For Humans – https://bit.ly/mlforhumansbook
Python for Data Analysis – https://amzn.to/2Z1QZNp
Hands-on Machine Learning with Scikit-Learn and TensorFlow – https://amzn.to/2GormNb
Grokking Deep Learning – https://amzn.to/2H497My
The Mechanics of Machine Learning – https://mlbook.explained.ai/
The Hundred-Page Machine Learning Book (online) – https://bit.ly/100pageMLbookhome
The Hundred-Page Machine Learning Book (buy) – https://bit.ly/100pagemlbook
The Deep Learning Book (online) – https://www.deeplearningbook.org/
The Deep Learning Book (buy) – https://amzn.to/2YIsGok
The Hundred-Page Machine Learning Book Review – https://youtu.be/btLxTTkSZuY
My favourite ML/AI resources – https://bit.ly/AIMLresources
Get email updates on my work – https://bit.ly/mrdbourkenewsletter
Support on Patreon – https://bit.ly/mrdbourkepatreon
Connect elsewhere:
Web – https://bit.ly/mrdbourkeweb
Quora – https://bit.ly/mrdbourkequora
Medium – https://bit.ly/mrdbourkemedium
Twitter – https://bit.ly/mrdbourketwitter
LinkedIn – https://bit.ly/mrdbourkelinkedin
#machinelearning #books
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