Everything I Studied to Become a ML Engineer (no CS background)

Video Description

Datacamp's Machine Learning Fundamental in Python Track: https://datacamp.pxf.io/POQWDM Datacamp's Machine Learning Engineer Career Track: https://datacamp.pxf.io/raKBPj 📝 FREE Machine Learning Resume Template — https://resume.egorhowell.com/ Video transcript: https://medium.com/data-science-collective/everything-i-studied-to-become-a-machine-learning-engineer-no-cs-background-8e7fd9e51c1d?sk=798b5d1425c437f6ca278847e3deb4e3 CONNECT WITH ME 📸 Instagram — https://www.instagram.com/egorhowell 💼 LinkedIn — https://www.linkedin.com/in/egorhowell 🌍 Website — https://egorhowell.com RESOURCES MENTIONED Practical Statistics for Data Science: https://amzn.to/3Hzz8pr Think Bayes: https://amzn.to/3UA0kr0 W3Schools: https://www.w3schools.com/ freeCodeCamp: https://www.freecodecamp.org/news/tag/python/ Machine Learning Specialisation: https://www.coursera.org/learn/machine-learning Hands-On ML with Scikit-Learn, Keras, and TensorFlow: https://amzn.to/3UzgnFz Deep Learning Specialization: https://www.coursera.org/specializations/deep-learning Elements of Statistical Learning: https://amzn.to/4lGUIGq The Hundred Page Machine Learning Book: https://amzn.to/3Jur7mg Tutorialspoint: https://www.tutorialspoint.com/python/index.htm 3blue1brown: https://www.youtube.com/@3blue1brown/videos StatQuest: https://www.youtube.com/@statquest/videos Neural Networks: Zero to Hero: https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ Illustrated Transformer: https://jalammar.github.io/illustrated-transformer/ Forecasting: Principles and Practice: https://amzn.to/4lNocCJ Algorithms for Optimisation: https://amzn.to/4fYLXXg Neetcode: https://neetcode.io/courses/dsa-for-beginners Practical MLOps: https://amzn.to/45Ap20S CS107 Computer Organisation and Systems: https://web.stanford.edu/class/archive/cs/cs107/cs107.1224/ Hackerrank: https://www.hackerrank.com/ TIMESTAMPS 0:00 Intro 0:25 University degree / maths 3:05 Python 6:38 SQL 7:31 Machine learning 8:52 Deep learning 9:56 Statistics 12:05 Time series forecasting 13:16 Operations research 14:04 Software engineering DISCLAIMERS & DISCLOSURES This content is for educational and entertainment purposes and does not constitute professional advice. Opinions are my own. Some links are affiliate links. Thanks to Datacamp for sponsoring this video!