I am excited to start a new book "Pattern Recognition & Machine Learning" by Christopher Bishop.
PDF link: http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf
Author wiki: https://en.wikipedia.org/wiki/Christopher_Bishop

This book, for the people familiar with Machine learning, should be known. We chose this book as it's in-depth and cover all the possible explanation one could need to understand past, present or future research. It provides fundamental tools to deal and design new approaches.

Purpose and learning from this book:
- Fundamental learnings of the core concepts of Mathematics & ML (which are the major component of any researcher, scientist or job seeker)
- Learn to dissect problems in ML and possible tools available
- Build up ability to explain the concept and learn to read research material
- Get familiar with the pattern recognition which is the core component to teach any machine for solving a problem
- Learn by sharing, explaining knowledge with enthusiastic group

Couple changes discussed for this new bookclub:
(This new book club will still be voluntarily basis)
- Volunteers will chose a topic and try to wrap up the topic using any mean. Possible ways could be presenting their own notes, presentation, lecture notes, book section, blog post or even code.
- Purpose of the presenter should be to make sure everybody understand the topic in the group by the end of meetup (that day).
If the topic is very common and widely known then there could be multiple topic discussions, but it can range from 1 to n topics/day.
- For a common topic someone can use their own codebase or someone else's code publicly available. There will be freedom of asking ppl to try out themselves if the presenter feels like. In these scenarios, providing pre-requisites or setting expectation 2-3 days in advance would be preferred.

We will meet at our usual time, every Tuesday from 06:00-07:30pm PST. Due to COVID, we will continue using Google Meet virtual events. Details of the meet link will be shared couple mins before the meetup on this slack channel. It is ideal for any data enthusiasts that are interested to learn about

As this is going to be the beginning of the book. I (Shweta) will be presenting the Polynomial curve fitting & Probability Theory.

Hope to see you all. We will do these meetups via Google meet. The link will be posted on the Slack channel. To join please follow: https://datacircles.org/join-us and add to slack channel #deeplearning_bookclub

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Data Circles (ex 'Seattle Women in Data Science') was founded in February 2018 by Mahnaz Akbari with the intention to create a safe and welcoming space for women in data science to connect and excel together. Although our events are open to everybody, we host only female/non-binary speakers to highlight the role of this group in this field.

Our Mission: Data Circles(https://datacircles.org) is a supportive community that focuses on inspiring and empowering women in data science through professional development, knowledge sharing, and mentorship.

If you would like to volunteer and join our community, please reach out to the event organizers! Or fill in this form:
https://datacircles.org/volunteer-3

For up to the minute info on this event please visit the Meetup page.