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

4.8
stars
570 ratings

About the Course

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 Mathematics for Machine Learning and Data science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly program is where you’ll master the fundamental mathematics toolkit of machine learning. 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 plugins and visualizations to help you see how the math behind machine learning actually works. Upon completion, you’ll understand the mathematics behind all the most common algorithms and data analysis techniques — plus the know-how to incorporate them into your machine learning career. This is a beginner-friendly program, with a recommended background of at least high school mathematics (functions, basic algebra). We also recommend a basic familiarity with Python (loops, functions, if/else statements, lists/dictionaries, importing libraries) , as labs use Python and Jupyter Notebooks to demonstrate learning objectives in the environment where they’re most applicable to machine learning and data science....

Top reviews

MS

Aug 29, 2023

very good courses. The material is quite deep and difficult, but can be conveyed so that it is easy to understand. The lab is also very helpful to better understand the concept

AK

Feb 26, 2024

Enjoyed learning calculus from prof. Serrano. I mostly enjoyed the programing exercises, I wish this is how it was taught to us in school. But better late than never.

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76 - 100 of 124 Reviews for Calculus for Machine Learning and Data Science

By Francesco M

•

Jun 30, 2023

Clear and interesting.

By T_Tài

•

Apr 14, 2024

Best math course ever

By Oluwadara O

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Mar 23, 2024

I loved the course!!!

By Stephen C

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Dec 27, 2023

10/10. Luis is great.

By Dawood S

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Jul 24, 2023

Very Amazing course

By Sheron K

•

Sep 20, 2023

Excellent material

By Asaad N I M

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Aug 26, 2023

very good course

By Deepali B

•

Apr 28, 2023

Excellent!!!!!!

By Hoài Đ

•

Apr 7, 2023

great course!!!

By Nguyễn M H

•

Feb 4, 2024

Greate Courses

By Varun M

•

May 27, 2023

Amazing Course

By Orhan S

•

Jul 3, 2023

Great course!

By Kristaps F

•

Feb 23, 2024

Very useful

By Sabeur M

•

Jan 15, 2024

Great cours

By MARC F

•

Apr 19, 2023

So awesome!

By Jose M

•

Nov 15, 2023

Excelent!

By Abdul R W

•

Sep 22, 2023

done all

By emerson g

•

Aug 6, 2023

The Best

By Deepak K

•

Mar 29, 2023

good one

By Muhammad K I

•

Mar 26, 2024

awesome

By Trisno P R

•

Sep 25, 2023

jossss

By Alvin F P

•

Mar 24, 2024

great

By Anggi P S

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Mar 23, 2024

good

By Nidula R

•

Jul 6, 2023

good

By Adison

•

Aug 14, 2023

Rather simple introduction to Calculus in machine learning & data science. The course covers core concepts and linked well to applications such as Optimisation and Gradient descent.

The instructor provided good graphical visualisations to help learners understand and develop intuition on the concepts covered.