How To Learn Math for Machine Learning FAST (Even With Zero Math Background)
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I dropped out of high school and managed to became an Applied Scientist at Amazon 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. ---------------------------------------- 📬 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 level up your AI/ML career? Join the AI/ML Career Launchpad community! https://aiml-career-launchpad.circle.so/aiml-launchpad 💬 Interested in working with me 1:1? Learn more about my strategic advisory sessions: https://www.marinawyss.com/coaching 🩷 Join the channel membership community for priority comment replies and early access to videos! https://www.youtube.com/@MarinaWyssAI/join 📝 Transcript: https://medium.com/@gratitudedriven/how-to-learn-math-for-machine-learning-fast-even-with-zero-math-background-159757833c3a ---------------------------------------- ⏰ Timestamps 00:00 Introduction 00:35 Do you even need to learn math to work in ML? 02:22 What math you should learn to work in ML? 05:05 Learning resources and roadmap 07:48 Getting clear on your motivation for learning 08:41 Tips on how to study math for ML effectively 11:18 Do I recommend prioritizing math as a beginner? ---------------------------------------- 🎥 Other videos you might like: Beginner to (Employed) Data Scientist in 2025: Complete Roadmap - Skills, Projects, CV, Interviews https://www.youtube.com/watch?v=uakGF0DP-mk&t=16s Study Without Suffering: How to Stay Competitive in Tech (or Any Industry) While Working Full-Time https://www.youtube.com/watch?v=ZWYc68ejzVc&t=6s ---------------------------------------- ✍️ Learning Resources DeepLearning.AI Coursera Specializat
