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學生對 DeepLearning.AI 提供的 Linear Algebra for Machine Learning and Data Science 的評價和反饋

4.3
24 個評分

課程概述

After completing this course, learners will be able to: • Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence, etc. • Apply common vector and matrix algebra operations like dot product, inverse, and determinants • Express certain types of matrix operations as linear transformations • Apply concepts of eigenvalues and eigenvectors to machine learning problems Mathematics for Machine Learning and Data science is a foundational online program created in 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 struggle with mathematics. Challenging interview questions often hold people back from leveling up in their careers, and even experienced practitioners can feel held 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....

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AG

2023年1月29日

Very helpful and initiative course for who has a good mathematics background or not.

M

2023年1月26日

Great course and Great instructor. Happy to be enrolled

篩選依據:

1 - Linear Algebra for Machine Learning and Data Science 的 9 個評論(共 9 個)

創建者 Ahmed M G

2023年1月30日

Very helpful and initiative course for who has a good mathematics background or not.

創建者 Mohamed A A E

2023年1月26日

Great course and Great instructor. Happy to be enrolled

創建者 Simone S

2023年1月30日

Too basic and chaotic

創建者 João S

2023年1月30日

I missed some important concepts like Vector Projection and Matrix Calculus, just to exemplify some. I hope the other courses cover them.

創建者 Samuel H

2023年1月29日

Excellent intro to the fascinating world of Linear Algebra.

創建者 Ildana R

2023年2月3日

Pros:

1. Concepts are explained in simple terms and complexity builds slowly over time. I felt more confident after each video rather than confused like with other courses.

2. Each video has small quizzes to solidify your understanding of small topics on the spot

3. Solving weekly quiz questions with pen and paper helps build mechanical memory.

Things that could be improved:

1. It would be nice to have a pdf file with all formulas in one place to refer to.

2. I wish there were a bit more examples of eigenvalues and eigenvectors, I had to do external research to fully understand the topic.

Overall, great course for beginners and those who have already started learning ML and want to get better intuition of math behind it.

創建者 Aliaksei P

2023年2月3日

Great job!

創建者 Fadhel H

2023年2月4日

everything was very great and wonderful for the material except for the eigenvalues and eigenvectors, it feels so off and lacking in details, luckily i'm an engineering student who had studied about linear algebra before so i was able to follow trough. well if you are a new comer for this field, i think you should prepare more for the eigenvalues and eigenvector materials

創建者 Farzad F

2023年2月2日

They teach banana and they ask to solve assignment with python

Do not waste your time

They already wasted my time for 2 weeks

So bad course