Math for ML Series: Linear Algebra #2 of 4 ๐ข ๐ฉโ๐๐๐งฎ


Details
Every developer today needs to be fluent in machine learning. Join us in building your expertise:
๐ Brush up on essential math and master the fundamentals. ๐ค
Meet monthly to tackle key concepts together in an interactive study group over free coffee and drinks โ. Everyone will be assigned bite-sized chapters with exercises to keep on track.
Show commitment and receive exclusive swag from Google and JetBrains. Register on Coursera for an optional course certificate.
Ready to unlock your Machine Learning potential?
Textbook:
Math for ML by Google DeepMind Chair Marc Deisenroth.
Details: Every developer today needs to be conversant in ML. For many of us however, it's been a while since we learned the prerequisites. Join us in studying together to rebuild our expertise and take a journey through the basic maths underlying ML!
This will be a series of study sessions every month, where we'll assign a chapter and its exercises. To participate, you must commit to doing the assignments and supporting your study partners. Participants will receive cool swag and (optionally) course certificate if registered via Coursera.
3:00pm - Room opens, coffee โ
3:30pm - Review assignment
4:00pm - Session learning
Pre-work: (90-120 minutes)
Deisenroth, exercises 2.5 to 2.9
Want to refresh? Take Google Machine Learning Foundations
Agenda
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Hosted By
Kyle Beechly, Developer
My most exciting project right now is Xtreme Xmas Code, a mod/companion app that adds extra challenges to the Advent of Code yearly coding event. Check it out at xtremexmascode.com!
#OpenToWork
Ian O'Gorman, Software Developer, LATERAL.systems
Former Accountant turned Full Stack Developer.
Tyler C de Laguna, Chapter Head
Mathematics is the poetry of logical ideas
Yaakov Bressler, Sr. Data Engineer
Isil Berkun, Founder of DigiFab AI
Allison Richey, Analyst
Cody Pika Tavita McGraw, Event Organizer
Former Tech Founder
Abigail Weisenbloom, Developer
Evan Pierce, Mobile Developer, Netflix
Shouryan Nikam, Software Engineer
Love working on Web + AI
Trying to learn Jetpack + SwiftUI
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Partner
Jetbrains (https://jetbrains.com)
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Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-portland-presents-math-for-ml-series-linear-algebra-2-of-4/.

Math for ML Series: Linear Algebra #2 of 4 ๐ข ๐ฉโ๐๐๐งฎ