Maths & Statistics
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What is Maths & Statistics?
Mathematics and statistics provide the foundational principles for understanding and building machine learning models. These disciplines offer the tools to analyze data, quantify uncertainty, and optimize model performance. Key areas include linear algebra for data representation and manipulation, calculus for optimization algorithms, probability theory for handling uncertainty, and statistical inference for concluding data.
Free resources to learn Maths & Statistics
- BookIntroductory Statistics
- ArticleComputer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory
- ArticleDiscrete Mathematics By IIT Ropar NPTEL
- ArticleIntroduction to Statistics
- ArticleHow to Learn the Math Needed for Data Science
- VideoLec 1 | MIT 6.042J Mathematics for Computer Science, Fall 2010
- VideoDiscrete Mathematics by Shai Simonson (19 videos)
- Videotatistics - A Full University Course on Data Science Basics
More in stage 6: Cloud Computing
Maths & Statistics: common questions
Can I learn Maths & Statistics in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Maths & Statistics in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Maths & Statistics tutorial for beginners?
It is lesson 31 of 62 in the free MLOps roadmap, in stage 6, Cloud Computing. If you are new to MLOps, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.