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

4.8
stars
749 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

AA

Sep 15, 2024

this course is perfect and its also a necessary step in learning machine learning it helped me learn how calculus affects on optimization and how I can implement them using python

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

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76 - 100 of 156 Reviews for Calculus for Machine Learning and Data Science

By Ryan T

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Aug 13, 2023

Well explained. Love the exercises. Lots of Maths! I Love it

By Ahmed a

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Aug 6, 2023

Amazing that describe calculus and really beginner friendly.

By Pooyan S

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Nov 17, 2024

Mr. Luis Serrano is an artist, and his art is teaching.

By Pavol D

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Jun 9, 2024

Great course! Will teach you all the basics and beyond.

By MIGUEL M O

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Apr 11, 2023

this is the course you need if u are looking for maths

By Mauricio C V

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Oct 24, 2024

Excelente curso con laboratorios en Jupyter notebooks

By Yuan J Y

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Oct 16, 2023

Vivid teaching and coding to enlighten everything~

By Hamad U R Q

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Jun 18, 2023

Good Foundational Calculus for Machine Learning.

By Leith S

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Aug 4, 2023

Another well taught introduction to this topic.

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

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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 Lawrence L

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Mar 13, 2024

Very nice learning material.

By amir h r

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May 7, 2023

arduous but sweet.

thanks

By Marc D

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Jul 11, 2024

cool, cooler, coolest!

By Abdul W K

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Dec 13, 2023

such an amazing course

By ZinPwint H

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Oct 2, 2023

I learnt a lot, Thanks

By Francesco M

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Jun 30, 2023

Clear and interesting.

By Tài N T

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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