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

4.5
stars
1,293 ratings

About the Course

Newly updated for 2024! 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 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. If you are already familiar with the concepts of linear algebra, Course 1 will provide a good review, or you can choose to take Course 2: Calculus for Machine Learning and Data Science and Course 3: Probability and Statistics for Machine Learning and Data Science, of this specialization....

Top reviews

NA

Jun 17, 2023

Very visual and application oriented and gives the context for machine learning and where linAL is applied in PCA and neural networks. The structure is really byte sized and fun to work with.

SP

Jul 26, 2023

This course is truly exceptional for individuals eager to strengthen their grasp of Linear Algebra concepts, paving the way for a deeper understanding of machine learning and data science.

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126 - 150 of 351 Reviews for Linear Algebra for Machine Learning and Data Science

By Tiến T T

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Jun 20, 2023

The course is so easy to understand for the beginner, and the content is suitable for the ML and DS learners

By Dorian K M

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Jul 8, 2023

Very useful course to prepare for a specialization in machine learning and data science. Recommended 100%.

By Devapranjal S

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Mar 24, 2024

Amazing lectures and really useful practical lab lessons. Just loved the way every lecture was explained.

By amlan d

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Aug 1, 2023

Last week coding assignment were not clear as to what is being asked. Apart from that this a great course

By Pedro T

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Jul 11, 2023

Very well designed, the pedagogy used to explain complex topics is excellent. I totally recommended

it.

By Shashi K P

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Aug 5, 2023

Wonderful course , The way instructor explains is just awesome ,Thank you for offering this course :)

By adelaide b

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May 2, 2023

probably could have spent a little more time on the material for week 4 but overall fantastic course.

By Florin C

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Jul 13, 2023

Amazing course! The teacher is one of the best I've seen online. The experience is a positive one!

By Αντώνιος Τ

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Aug 18, 2023

Andre Ng was right (as usual) for recommending Luis Serrano, he is also an excellent teacher!

By Momen A

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Aug 14, 2023

Great Course, with simplified explanations, assessment helps you to understand topics more.

By Jansi E 2

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Oct 27, 2023

I got more details and gained knowledge from this course. I understand the deep concepts.

By Subbu V

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Jul 23, 2023

This totally kicked my butt - but it was well structured and organized. Great work team!

By Bhaskar G

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Aug 11, 2023

It is so amazing course. Superb presentation and so nicely done. I really enjoyed it.

By Olivio A C J

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Oct 12, 2023

A very exciting course. Explanations are very good and the exercises are awesome.

By Saravanan G

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Sep 28, 2023

i have really enjoyed learning maths in this course such an engaging course it is

By Rakhee S

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Mar 30, 2023

The instructor Luis Serrano is amazing. He explains every topic in great detail.

By David H

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May 9, 2023

Learned a ton, especially about using Python to solve linear algebra problems

By gkccn

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Jan 24, 2024

nice clarity of concepts with the interactive visualization and presentation

By mokshika h

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Jul 8, 2023

Honestly, this is a grate opportunity to improve my knowledge on ML and DS.

By Jose Q

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Jul 16, 2023

Love the simple, graphical and intuitive way of teaching of the instructor.

By Dimitris F

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Oct 21, 2023

Great course for refreshing linear algebra - Luis is a fantastic teacher!

By Nafis A

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Feb 22, 2023

It's an excellent course. Very well tailored and brilliantly explained.

By Jaime O L R

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Jul 28, 2023

Luis is an excellent teacher. Complex concepts are clearly explained.

By Misikir G T

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May 29, 2023

Very useful and powerful of linear algebra with excellent instructor.

By Francis K

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Mar 26, 2023

Really Good Introduction to linear algebra with a lot of handon labs