PB
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great course for an intro or refresher respecting optimization, regression, and classification
PK
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very very structured. Cant be more thankful to initiatives of Louis Serrano and Andrew NG, What a wonderful human service. Blessings from India
By Kristaps F
•Feb 23, 2024
Very useful
By Sabeur M
•Jan 15, 2024
Great cours
By MARC F
•Apr 18, 2023
So awesome!
By Pawel P
•May 16, 2024
Thank you
By Jose M
•Nov 15, 2023
Excelent!
By Renan d B L
•Jul 19, 2024
Amazing!
By Abdul R W
•Sep 21, 2023
done all
By emerson g
•Aug 6, 2023
The Best
By Deepak K
•Mar 29, 2023
good one
By Muhammad K I
•Mar 26, 2024
awesome
By Trisno P R
•Sep 25, 2023
jossss
By Alvin F P
•Mar 24, 2024
great
By Anggi P S
•Mar 23, 2024
good
By Nidula R
•Jul 6, 2023
good
By Collins N
•Aug 7, 2024
..
By 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.
By Kevin W
•Jul 10, 2024
Overall, it is an excellent introduction to calculus and applications to ML. However, some of the foundational explanations of differentiation need clarification. If you want a rigorous introduction to calculus, I recommend Khan's Academy. For example: in Khan's, you will find an in-depth explanation of limits which is only touched upon briefly in this course.
By Adison
•Aug 13, 2023
Rather simple introduction to Calculus in machine learning & data science. The course covers core concepts and linked well to applications such as Optimisation and Gradient descent.
The instructor provided good graphical visualisations to help learners understand and develop intuition on the concepts covered.
By Aaron H
•Oct 5, 2023
I actually understand gradient descent which is awesome. I need a little bit more practice running some of the problems to be proficient and remember how to do them, but I was able to complete them for the course and I suppose in real life I can just have my code (stolen from this course) find the answers.
By Mahbod I
•Jun 19, 2023
An excellent course indeed, although with some caveats.
I love the simplicity and the examples of the instructor. However, sometimes the materials needed to be more complex and exciting to watch. I definitely recommend this course to absolute beginners in calculus or someone who needs a refresher.
By Yehan D
•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.
By Kavit S
•May 23, 2023
We had a great time learning this course. We really had some good sessions with friends while learnin this. We found about new concepts. Thanks
By Amin N
•Jun 15, 2023
Easy to follow for beginners. Concepts are well explained. I wish the Newtonian method had been explained in more details though.
By Susy
•Sep 2, 2023
The last programming assignment has some problems. If you touch the optional part, you get 0.
By Axel D C
•May 30, 2023
Knowledge very useful, however as benniger at phyton, programing task are quite hard