Where to learn the math for data science?
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Learn essential math for data science and machine learning with recommended resources
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
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📚 Learn the math essentials for data science and machine learning with these resources! 🤖
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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