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Machine Learning Maths

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Master statistical methods and probability theories for accurate machine learning data analysis and model building
  • Apply linear algebra techniques to develop and optimize machine learning algorithms effectively
  • Utilize calculus principles to improve machine learning model training, learning rates, and performance optimization
  • Integrate core mathematical concepts to enhance predictive accuracy and model robustness in machine learning projects
  • Analyze data using advanced statistical and mathematical tools to inform machine learning decision-making
  • Implement mathematical strategies to troubleshoot and refine machine learning models for real-world applications

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 6


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23 Reviews

Kavyanshi Sharma

Good 2025-08-12

Aditi dewangan

Great learning 2025-07-15

Alok bhadwa

Chut me lawda dal le 2025-07-01

Aawneya

Good 2025-06-16

Moula bee

Good 2025-06-15

Jayani Chandra Shekhar Datrik

good 2025-06-15

Sivani puvvula

good 2025-06-12

Peparthy Venkata Lekha

V.good 2025-06-09

Khushi ozha

good 2025-06-08

Tripurahasini

It was excellent 2025-06-08

aref Shaik

Good 2025-06-08

Poorna Chandrika

Nice 2025-06-08

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Machine learning is powered by four critical concepts and is Statistics, Linear Algebra, Probability, and Calculus. While statistical concepts are the core part of every model, calculus helps us learn and optimize a model .