How I Learnt Math For Machine Learning FAST As A Complete Beginner

I had no math background and I managed to became a Machine Learning Engineer as a fresher at a TOP US Startup by self-learning math (and other ML skills). In this video I'll show you exactly how I did it, sharing the resources and study techniques that worked for me, along with practical advice on what math you actually need (and don't need) to break into machine learning and data science.

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😊 Best Resources, Courses and Books I Used To Land My First Machine Learning Internship - https://youtu.be/ldP_wAnRnuc

How I landed my first machine learning internship - https://youtu.be/h0hVkfD_omk

Machine Learning / AI / Data Science projects - https://www.youtube.com/watch?v=xgSGGFDzu98&list=PL49M3zg4eCviRD4-hTjS5aUZs3PzAFYkJ

✍️ Learning Resources
DeepLearning.AI Coursera Specialization: https://www.coursera.org/specializations/mathematics-for-machine-learning-and-data-science/
The Manga Guide to Linear Algebra
The Manga Guide to Calculus
The Manga Guide to Statistics
Essence of Linear Algebra playlist: https://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Essence of Calculus playlist: https://www.youtube.com/watch?v=WUvTyaaNkzM&list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
StatQuest: https://www.youtube.com/@statquest

🦫 About me
I am a Machine Learning Engineer at a top US startup. Outside of my full-time job I'm a technical mentor for machine learning, and a 1:1 career coach for people looking to break into the field, with a focus on those from non-traditional backgrounds. (https://topmate.io/sreemanti_dey)

✉️ Contact
Leave me a comment here on YouTube!
Linkedin: https://www.linkedin.com/in/sreemanti-dey/
Business email: sreemantidey1234@gmail.com

#machinelearning #mathforml #datascience