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学生对 DeepLearning.AI 提供的 Calculus for Machine Learning and Data Science 的评价和反馈

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898 个评分

课程概述

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....

热门审阅

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.

筛选依据：

101 - Calculus for Machine Learning and Data Science 的 125 个评论（共 188 个）

创建者 Rishabh S

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Jun 13, 2025

Best course for building the foundations in ML

创建者 Seyed h M

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May 3, 2023

one of the most affordable course in Coursera

创建者 Đào Đ T

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Dec 12, 2023

wonderful ! Good start for your ML career

创建者 Carlos S

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Sep 7, 2024

Nice examples of calculus applied to DS.

创建者 姜宇琦

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Jul 30, 2023

make good use of caculus in data science

创建者 Fasal A H I

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Sep 29, 2023

i like this course kinda easy for me

创建者 Abdullah M

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Feb 29, 2024

Well rounded course. Truly engaging

创建者 Paul N

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Feb 23, 2025

Great course, really interesting

创建者 sridurga s

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Oct 3, 2025

very useful and explained well

创建者 Lawrence L

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Mar 12, 2024

Very nice learning material.

创建者 Sunnat A

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Sep 13, 2025

Best, best and again Best

创建者 amir h r

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May 7, 2023

arduous but sweet.

thanks

创建者 Marc D

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Jul 11, 2024

cool, cooler, coolest!

创建者 Abdul W K

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Dec 13, 2023

such an amazing course

创建者 ZinPwint H

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Oct 2, 2023

I learnt a lot, Thanks

创建者 Francesco M

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Jun 30, 2023

Clear and interesting.

创建者 Tài N T

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Apr 14, 2024

Best math course ever

创建者 Oluwadara O

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Mar 23, 2024

I loved the course!!!

创建者 Stephen C

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Dec 27, 2023

10/10. Luis is great.

创建者 Dawood S

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Jul 23, 2023

Very Amazing course

创建者 Sheron K

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Sep 20, 2023

Excellent material

创建者 Phan T D

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Feb 14, 2025

Very good course.

创建者 Asaad N I M

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Aug 26, 2023

very good course

创建者 Deepali B

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Apr 27, 2023

Excellent!!!!!!

创建者 Hoài Đ

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Apr 7, 2023

great course!!!