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Mathematics for Machine Learning

star 4.31  Beginner level 3.0 learning hrs 3.6K+ Learners

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.

Instructor:

Prof. Mukesh Rao

Mathematics for Machine Learning

star 4.31  Beginner level 3.0 learning hrs 3.6K+ Learners
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Skills you will gain

Chain Rule

Introduction to Functions

Line Concept

Maxima and Minima of a function

Lies Planes and Hyperplanes

Key Highlights

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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.

 

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

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Mathematics for Machine Learning

rating icon 4.31

3.0 Hours

Beginner

Sign up with Email
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3.6K+ learners enrolled so far

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Trusted by 1 Crore+ Learners globally

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Reviewer Profile
Sanketh Patil

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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Our course instructor

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Prof. Mukesh Rao

Senior Faculty, Academics, Great Learning

Machine Learning Expert

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1.6L+ Learners
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17 Courses
Prof. Mukesh Rao is a senior faculty of Data Science in Great Learning and he is responsible for designing data science courses offered and mentoring students with capstone projects. Prof. Mukesh has over 20 years of industry experience in Market Research, Project Management, and Data Science and has conducted extensive corporate training in Data Science and Big Data. He also works as a Data Science Trainer & Consultant for 4v Technologies and conducts training in core big data technologies and data science. He has headed Big Data teams at SourceOne and has worked with tech giants like Wipro Technologies.

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