To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/GratitudeDriven/ 
You’ll also get 20% off an annual premium subscription!

⏰ Timestamps
00:00 How I became an Applied Scientist 
00:50 Programming skills
01:47 Foundational ML and stats skills
02:38 Data visualization, Hadoop, SQL, interviewing, more stats
03:06 More ML and deep learning
03:48 Math for ML
04:52 DSA, ML system design, AI engineering
06:55 What was worth it? What wasn’t worth it?

----------------------------------------
Learning resources I referenced:

Python Bootcamp: http://bit.ly/3YbJXDa
Python for Data Science and ML: https://bit.ly/4jlPtLL
R Programming: https://bit.ly/4cl5qiX
SQL course: https://bit.ly/4i0JPh2
Statistical Rethinking: https://amzn.to/42eFP6r
Learning How to Learn: https://imp.i384100.net/LK4v43
Machine Learning Specialization: https://imp.i384100.net/o44Kq9
Deep Learning Specialization: https://imp.i384100.net/LK27X3
Math for ML Specialization: https://imp.i384100.net/9LL6gy
Designing Data-Intensive Applications: https://amzn.to/41V1j9J
Designing ML Systems: https://amzn.to/41V1n9t
Software Engineering for Data Scientists (forgot to mention in the video, but another good book): https://amzn.to/41XfOKd
AI Engineering book: https://amzn.to/43Fa1u8
Modern System Design: https://www.educative.io/courses/grokking-the-system-design-interview?aff=VOR0
Coding Interview Patterns: https://www.educative.io/courses/grokking-coding-interview-in-python?aff=VOR0
NeetCode DSA and System Design: https://neetcode.io/
Georgia Tech DSA: https://www.edx.org/certificates/professional-certificate/gtx-data-structures-and-algorithms
Duke OOP in Java: https://imp.i384100.net/PO4LBj
Georgia Tech Java: https://www.edx.org/certificates/professional-certificate/gtx-introduction-to-object-oriented-programming-with-java

----------------------------------------

📬 Sign up for my newsletter for access to a FREE 80+ page e-book on how to get your first data science job (learning resources, project ideas, LinkedIn checklist, and more!): https://www.gratitudedriven.com/subscribe

💬 Want to talk 1:1? Book time to chat with me here: https://topmate.io/marina_wyss

☕ If you'd like to support my work, you can buy me a coffee (thank you!): https://ko-fi.com/marinawyss 

And here’s that StatQuest transformers video I promised: https://www.youtube.com/watch?v=zxQyTK8quyY

----------------------------------------
🎥 Other videos you might like:

I Analyzed 1,238 Machine Learning Job Postings to Find Out What Skills You REALLY Need to Get Hired
https://www.youtube.com/watch?v=0q_JKNDbEug&t=8s

How To Learn Math for Machine Learning FAST (Even With Zero Math Background)
https://www.youtube.com/watch?v=KgolhE7p-KY

AI Engineering in 76 Minutes (Complete Course)
https://www.youtube.com/watch?v=JV3pL1_mn2M&t=2s

----------------------------------------
🦫 About me
I am an Applied Scientist (basically, a blend of Data Scientist/Machine Learning Engineer) at Twitch/Amazon. Outside of my full-time job I'm a technical mentor at a machine learning bootcamp, and a 1:1 career coach for people looking to break into the field, with a focus on those from non-traditional backgrounds. 

I’m also a Certified Personal Trainer, always busy with too many interests, and really, deeply happy with my life. I hope to be able to help others achieve these things, too. 

Instagram:   / gratitudedriven  
----------------------------------------
✉️ Contact
Leave me a comment here on YouTube!
Business email: marina@gratitudedriven.com
----------------------------------------
⚖️ Disclaimer
The views and opinions expressed in this video are my own and do not reflect the official policy or position of Twitch/Amazon or any other company I have worked for. All advice and insights shared here are based on my personal experiences and should be considered as such.

Also, there may be affiliate links in this description. This means if you make a purchase I'll earn a small commission at no cost to you! Thank you for your support.

Thanks to Brilliant for sponsoring this video!

#machinelearning #datascience #ai

YouTube

The author shares their journey from a non-tech background to becoming a machine learning scientist at Amazon, emphasizing the strategic learning of various tools and theories. They highlight the courses, resources, and skills that were valuable, along with those that were less effective. The importance of consistent learning, project-based application, and the ability to continuously adapt is underscored.

Everything I Studied to Become a Machine Learning Scientist at Amazon with ZERO Tech Background