Where to learn the math for data science?

📰 Hacker News · codeitup838364

Learn essential math for data science and machine learning with recommended resources

beginner Published 29 Jul 2020

Action Steps

Start with Khan Academy's linear algebra and calculus courses to build a foundation
Use MIT OpenCourseWare for more advanced math topics like probability and statistics
Practice with exercises on LeetCode or HackerRank to apply mathematical concepts to coding problems
Explore 3Blue1Brown's animated explanations of mathematical concepts on YouTube
Take online courses like Andrew Ng's Machine Learning course on Coursera which covers the math essentials

Who Needs to Know This

Data scientists and machine learning engineers who want to improve their math skills can benefit from these resources, and teams can use them to upskill their members

Key Insight

💡 Linear algebra, calculus, probability, and statistics are key math concepts for data science and machine learning

Key Takeaways

Learn essential math for data science and machine learning with recommended resources

Full Article

Hope you all are doing great. I would love to do lower-end kaggle competitions in the coming months. In high school we have not learnt any advanced math yet. I know python well. Where would you recommend to learn the math essentials for starting to learn machine learning/data science from like basics?

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