Chevron Left
返回到 Calculus for Machine Learning and Data Science

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

4.8
星
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

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

筛选依据：

126 - Calculus for Machine Learning and Data Science 的 150 个评论（共 188 个）

创建者 Nguyễn M H

•

Feb 4, 2024

Greate Courses

创建者 Varun M

•

May 27, 2023

Amazing Course

创建者 Orhan S

•

Jul 3, 2023

Great course!

创建者 Kristaps F

•

Feb 23, 2024

Very useful

创建者 Sabeur M

•

Jan 15, 2024

Great cours

创建者 MARC F

•

Apr 18, 2023

So awesome!

创建者 Javier A P S

•

May 30, 2025

super bien

创建者 Its M

•

Nov 29, 2024

Excellent.

创建者 Mahmoud D

•

Jan 17, 2025

Excellent

创建者 Pawel P

•

May 16, 2024

Thank you

创建者 Jose M

•

Nov 15, 2023

Excelent!

创建者 Pranay V

•

Apr 5, 2025

its good

创建者 Renan d B L

•

Jul 19, 2024

Amazing!

创建者 Abdul R W

•

Sep 21, 2023

done all

创建者 emerson g

•

Aug 6, 2023

The Best

创建者 Deepak K

•

Mar 29, 2023

good one

创建者 DARPAN B

•

Jul 3, 2025

amazing

创建者 Muhammad K I

•

Mar 26, 2024

awesome

创建者 Trisno P R

•

Sep 25, 2023

jossss

创建者 Alvin F P

•

Mar 24, 2024

great

创建者 Moaaz m

•

Aug 5, 2025

good

创建者 Anggi P S

•

Mar 23, 2024

good

创建者 Nidula R

•

Jul 6, 2023

good

创建者 Collins N

•

Aug 7, 2024

..

创建者 Nurullah K

•

Jun 25, 2024

It was good untill week 3. My real point is 3.5 . I think this spec is definitely not a math course. they just show the math parts of the ML , they are just telling ML terms, this is a calculus course but subjects are what a neural network is, what a gradient descent is , or network method etc. Where exactly math here? There is no need if you dont tell it comrehensively , Every tutor is teaching much more math than this spec in any ML course. You are telling %10 percent math and then %90 percent ML terminology. Why do i have to learn what a neural network even with more than two layer in a math course. Then what are you gonna tell me in the ML course??? if you will, then make it like first two weeks. It was like equally math and ML but in week 3 it is %90 like an ML Course.