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Math of Machine Learning

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Track :

Programming

Lessons no : 3

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What will you learn in this course?
  • Master statistical methods and probability theories to develop accurate machine learning models and data analysis skills
  • Apply linear algebra techniques to manipulate data structures and improve machine learning algorithms' efficiency
  • Utilize calculus concepts to optimize machine learning models and enhance predictive accuracy in real-world applications
  • Integrate mathematical principles like statistics, linear algebra, probability, and calculus to solve complex data science problems

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Lessons | 3


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Raunak Shah 

Noice
2025-10-08

Kumar Raghav 

Nice
2025-09-15

Asad hayat 

It's was wonderful experience with mind luster
2025-08-13

Fatemeh Rezaeian 

Good
2025-02-24

abdulla ahmed abdulla mohammed 

V.GOOD
2025-02-06

AREEBA SAMAN 

A Great platform to learn .
2024-10-23

Muddasar Munir 

A Great platform to learn .
2024-10-23

Sadia Yasin 

Helpful
2023-09-05

Arabella 

lovely! so much to learn!
2023-08-01

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Which Mathematical Concepts Are Implemented in Data Science and Machine Learning. 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 .