Mathematics for Machine Learning

Learn Mathematics for Machine Learning from basics in this free online training. This free Mathematics for Machine Learning course is taught hands-on by experts. Learn about Chain rule, Differential of a function, and a lot more.

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3.0 Hrs

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3.2K+

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Mathematics for Machine Learning

3.0 Learning Hours . Beginner

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About this course

Great Learning offers a free online course on Mathematics for Machine Learning, covering a range of topics that are crucial for anyone looking to get started with data science and machine learning. The course is designed to provide learners with a solid foundation in mathematics, focusing specifically on concepts that are relevant to machine learning.

 

One of the key topics covered in the course is the Chain Rule, which is essential for understanding the calculus involved in optimization algorithms used for training ML models. The course also covers the differential of a function, which is fundamental to calculus and is used extensively in machine learning.

 

Another topic covered in the course is the amount of mathematics that is required for data science. This is an important consideration for anyone looking to work in the field, as it helps learners to understand the level of mathematical proficiency that is required for different roles.

 

The course also covers Line Concepts, which are essential for representing data using vectors and matrices, and for understanding linear transformations. Additionally, learners will explore Line Concept Maxima and Minima application in Machine Learning, which is important for understanding optimization algorithms.

 

Finally, the course covers Lines, Planes, and Hyperplanes, which are fundamental concepts in linear algebra and are used extensively in machine learning.

 

Overall, this free course on Mathematics for Machine Learning by Great Learning is an excellent resource for anyone looking to develop their mathematical skills and build a strong foundation in machine learning concepts.

 

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Course Outline

Chain Rule
Differential of a function
How much of maths is required for Data Science
Line Concepts
Line Concept Maxima and Minima application in Machine Learning
Lines Planes and Hyperplanes

Earn a certificate of completion

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Get free course content

blue-tick

Learn at your own pace

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Master in-demand skills & tools

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Test your skills with quizzes

Mathematics for Machine Learning

3.0 Learning Hours . Beginner

Trusted by 1 Crore+ Learners globally

Learner reviews of the free Machine Learning course

4.31
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2%
6%
Reviewer Profile

5.0

The Mathematical Basics for Machine Learning Course
The course provided a strong foundation in key mathematical concepts like linear algebra, calculus, and probability, which are crucial for machine learning. The content was well-structured with relevant examples and interactive quizzes. However, some topics, such as gradient descent, felt rushed and could benefit from more detailed explanations. Overall, it’s an excellent resource for building the math skills needed in machine learning.

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