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Learner Reviews & Feedback for Calculus for Machine Learning and Data Science by DeepLearning.AI

4.8
stars
898 ratings

About the Course

Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises. As a learner in this program, you'll need basic to intermediate Python programming skills to be successful. After completing this course, learners will be able to: • Analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients • Approximately optimize different types of functions commonly used in machine learning using first-order (gradient descent) and second-order (Newton’s method) iterative methods • Visually interpret differentiation of different types of functions commonly used in machine learning • Perform gradient descent in neural networks with different activation and cost functions Many machine learning engineers and data scientists need help with mathematics, and even experienced practitioners can feel held back by a lack of math skills. This Specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow visualizations to help you see how the math behind machine learning actually works.  We recommend you have a high school level of mathematics (functions, basic algebra) and familiarity with programming (data structures, loops, functions, conditional statements, debugging). Assignments and labs are written in Python but the course introduces all the machine learning libraries you’ll use....

Top reviews

RM

Jan 3, 2025

It was a great learning experience, and all the examples were carefully chosen with a special focus on machine learning. Well done and thank you!

YD

Aug 31, 2024

Content was extremely helpful but assignments were too simple. If you could make the graded content a little more challenging it might really help the student push himself further.

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101 - 125 of 188 Reviews for Calculus for Machine Learning and Data Science

By Rishabh S

•

Jun 13, 2025

Best course for building the foundations in ML

By Seyed h M

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May 3, 2023

one of the most affordable course in Coursera

By Đào Đ T

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Dec 12, 2023

wonderful ! Good start for your ML career

By Carlos S

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Sep 7, 2024

Nice examples of calculus applied to DS.

By 姜宇琦

•

Jul 30, 2023

make good use of caculus in data science

By Fasal A H I

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Sep 29, 2023

i like this course kinda easy for me

By Abdullah M

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Feb 29, 2024

Well rounded course. Truly engaging

By Paul N

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Feb 23, 2025

Great course, really interesting

By sridurga s

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Oct 3, 2025

very useful and explained well

By Lawrence L

•

Mar 13, 2024

Very nice learning material.

By Sunnat A

•

Sep 13, 2025

Best, best and again Best

By amir h r

•

May 7, 2023

arduous but sweet.

thanks

By Marc D

•

Jul 11, 2024

cool, cooler, coolest!

By Abdul W K

•

Dec 13, 2023

such an amazing course

By ZinPwint H

•

Oct 2, 2023

I learnt a lot, Thanks

By Francesco M

•

Jun 30, 2023

Clear and interesting.

By Tài N T

•

Apr 14, 2024

Best math course ever

By Oluwadara O

•

Mar 23, 2024

I loved the course!!!

By Stephen C

•

Dec 27, 2023

10/10. Luis is great.

By Dawood S

•

Jul 24, 2023

Very Amazing course

By Sheron K

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Sep 20, 2023

Excellent material

By Phan T D

•

Feb 14, 2025

Very good course.

By Asaad N I M

•

Aug 26, 2023

very good course

By Deepali B

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Apr 28, 2023

Excellent!!!!!!

By Hoài Đ

•

Apr 7, 2023

great course!!!