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Скачать или смотреть Everything I Studied to Become a Machine Learning Scientist at Amazon from ZERO Tech Background

  • Marina Wyss - AI & Machine Learning
  • 2025-04-08
  • 226706
Everything I Studied to Become a Machine Learning Scientist at Amazon from ZERO Tech Background
machine learningdata sciencemlemachine learning engineermachine learning scientistapplied scienceapplied scientistamazonfaangtech jobsdata scientistdata analyststatisticsmachine learning roadmapdata science roadmapmlaiai engineering
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Описание к видео Everything I Studied to Become a Machine Learning Scientist at Amazon from ZERO Tech Background

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?

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Learning resources I referenced:

Python Bootcamp: https://trk.udemy.com/6yNGQb
Python for Data Science and ML: https://trk.udemy.com/2aNKLa
R Programming: https://trk.udemy.com/vPa29y
SQL course: https://trk.udemy.com/yq1rPb
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/grok...
Coding Interview Patterns: https://www.educative.io/courses/grok...
NeetCode DSA and System Design: https://neetcode.io/
Georgia Tech DSA: https://www.edx.org/certificates/prof...
Duke OOP in Java: https://imp.i384100.net/PO4LBj
Georgia Tech Java: https://www.edx.org/certificates/prof...

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📬 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/subsc...

💬 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:    • Transformer Neural Networks, ChatGPT's fou...  

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🎥 Other videos you might like:

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   • How To Learn Math for Machine Learning FAS...  

AI Engineering in 76 Minutes (Complete Course)
   • AI Engineering in 76 Minutes (Complete Cou...  

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🦫 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
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✉️ Contact
Leave me a comment here on YouTube!
Business email: [email protected]
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⚖️ 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

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