Hands-on Machine Learning -- Kickoff Session

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2nd Edition) by Aurélien Géron
The SDML Book Club will start reading the "HOML" book in October. This is simply one of the best data science books out there. The book covers all of the core concepts from basics like what is machine learning and linear regression to advanced models like reinforcement learning and GANs. This material will provide a solid foundation for beginners, and further the understanding for more experienced data scientists.
In this kickoff session we will:
* Review of the format for the weekly book club
* Meet the other people who will be reading the book together
* Discuss chapter 1, "The Machine Learning Landscape"
The book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2nd Edition) by Aurélien Géron (www.oreilly.com/library/view/... ) is available from different booksellers. Make sure to get the second edition with the color cover, not the first edition with the red cover.
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Agenda
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- 12:00 - 12:15 pm -- Arrival and socializing
- 12:15 - 1:30 pm -- Welcome, meeting others, chapter 1 overview
Links to chapter notes and videos of prior meetups are available on the SDML GitHub repo github.com/SanDiegoMachineLea...
SDML members will be taking turns leading the chapter discussions. If you are interested in taking a chapter, send me a message. (A few people have told me I did not get their emails. If you don't hear back from me right away, please message me again.)
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Location
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This will be an online meetup until further notice.
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Questions?
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Join our slack channel or leave a comment below if you have any questions about the group or need clarification on anything.
join.slack.com/t/sdmachinelea...

[@amitk3474]

Where can I find the google docs shown in these videos? Github homl repo doesn't contain above doc.

[@ROHITKUMAR-mx5fr]

Can you share a read only access to the Google doc used in these playlists

[@abdou7510]

Good job Ryan

[@shivakumarboora9661]

Hii team,
I'm really beginner for machine learning but instead of going to theory I prefer to go with Ur Video but in this I felt it is very advance
any suggestion to start my life towards to Machine learning
add comments to help me out

[@spider279]

learns the andrew ng course first then go to kaggle and train yourself with proejects and ask questions you will get help and you will be better , now you are a complete machine learning programmer