Math for Machine Learning and Data Science Specialization Review | Why You Need to Learn Math 🤔

Thank you for watching and have a great day! 🤗

🔑 TIMESTAMPS
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0:00 - Intro
0:47 - My struggles with Math and why we need Math 🤓
2:33 - Overview of what you learn in this program
2:42 - First course
3:15 - Second course
3:47 - Third course
4:55 - How much time it takes
5:10 - Presequisite
5:23 - What I like & don't like about the courses
7:34 - Book recommendations

👩🏻‍💻 COURSES & RESOURCES
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🙋🏻‍♀️ LET'S CONNECT!
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#maths #datascience #ThuVu #dataanalytics

[LukeBarousse]

The review we've been waiting for! 🙌🏼

[ryan-tabar]

I completed it. Pretty good. Some assignments are tough, but feel rewarding when you complete them.

[yenacho]

Pursuing a goal as a data scientist, I've been trying to study statistics which I actually learned before. I didn't know where to start and how to make my statistics review as efficient as possible. This is what I've been exactly looking for! Thank you so much for sharing this amazing content! ❤

[AnungAriwibowo]

Love it. Especially your experience when facing error from the library. Thank you a lot for compiling these resources.

[luisalamo]

This is exactly what I have been looking for! Thanks a lot for your explanation about it, I think I will take this course before Coursera IBM Data Science course. I’m really interested in machine learning stuff but I really feel as impostor about mathematics.

[darkprinslau]

I appreciate you recommend these specific books together with the course, as I noticed online courses typically don't cover the subject on a very deep level. This course seems to stand out as it is a package covering the 3 building blocks of DS. Nice that they have a free trial to check it out - as what would really sell the course for me is if it has plenty of high quality interactive assignments :)

[CindyLe-bldl]

I was just browsing this course a few days ago and looking for some review and then there is your video! It's really informative, thank you so much. I'll definitely try it out after I finish other courses on Coursera! 😍

[johnw]

This is very helpful. Thanks for the course review!

[hopelesssuprem]

This is a good source. It would be easier to learn math if that course came earlier. Also I should add that u look amazing as usual.

[SerranoAcademy]

Thank you for such a thorough review! I’m glad you liked the specialization.
And yes you pronounced my name very well! :)

[ifeanyinwobodo]

I love your videos. I have a similar story with you. I'm just concluding a degree in Econs and trying to transition to data science so your videos are not only educative but Inspiring. Thank you very much and keep doing what you're doing

[ungarlinski]

@1:20 Positive definite refers also to the quadric equation you were trying to optimize. Yeah, the problem is that students in multivariable calculus know how to use the "second derivative test" to find extreme values of functions of two independent variables, but they never read their textbooks showing where the "formula" comes from. Doing so would reveal how to solve this problem in your vid. The positive definite part is simply the "formula" that students were using when it's greater than 0, which students memorize as knowing then that the function has a max or min, and not a saddle point.

[rohitchakravarthi]

to be exactly precise on p values.
It is all with respect to null hypothesis.
We define our null hypothesis to be mean1 == mean2 and do your t test on sample1 and sample 2.
The result of the t test would spit out t-statistic and the p value.

How are we now suppose to infer the p value ?
>> suppose we get a p value of 0.158, so this tells us that - given our null hypothesis is true which is mean 1 == mean 2. There is a 15% chance that we see a sample (mean2) of this extreme which is giving mean1 != mean2, assuming our hypothesis to be true mean1 == mean2 .

[ruslangbl]

I'm in love with the way you are talking about DS!)

[sandk]

Thanks for the review. I've been curious about this class, and it sounds like it is perfect for me. Just wish it was included in the coursera plus subscription....

[amartineztor]

Hey pal thanks for the review, pretty good job, and yes said and pronounced well the name.

[alexeponon]

I am currently following the course on Coursera. Very good content!!

[cxjjlli]

love your voice. it's amazing. have not heard such beautiful voice before in my entire life

[Cuxaven]

Great video thanks! I appreciate the books recommendations, it's always great to have that kind of details in your videos

[sawfhsawfh]

I need to learn more about basic requirements for ML .