@wthxrsh
Maths is scary but when you learn maths with Data Science perspective, it actually starts making sense and you find it interesting!
@LukeBarousse
The "Math for Data Science" guide, we all need!!! 🔥🙌🏼🔥 Thu, the level of work and detail you put into this video is insane. 🤯 More vids like this, plz! 👏🏼
@lpac8272
Great tips! Especially about your points around a note taking system and coding the math. When I started my journey, it took me a few months to realize my note taking system was horrid that I wasn’t retaining and needed a better note taking system. I also moved to electronic vs hand written. Coding the algorithm from scratch in python was also key. Patience was so key, many times I wanted to jump to the end result w/o understanding the algorithm itself.
@veronicasmemories
This was super reassuring. It does feel a lot easier to learn things nowadays since we can find 100 different explanations online instead of only relying on a teacher and a book
@MyTechniqueWorks
Here is another extra tip, whoever is in a career which keeps updating over time, please keep checking every 3 months for any updates. Long story short, I am an IT Professional and I stayed in my testing field without learning updated materials, fast forward I got laid off because my software skills / tools were NOT updated. So now I have brushed up my Resume with latest tools which I am currently learning (including Machine Learning) and staying updated. So please do this I noticed lots of people who in my place did not update and then had to start all over again.
@jeffk8900
Thanks for your videos. You do a great job.
@intheshademusical9333
I just discovered your excellent videos and I binge-watched them last night. I love the way you explain things. I was thrilled that you recommended my "Data Science Math Skills" course - it's my best effort to leave out all the hard stuff beginners don't need to get started.
@olakunleabiodun1489
Critical thinking and meditation after discovering or observing new technics helps to retain math calculation, algorithm , procedures in the brain , it can be applied to data science fields or other fields that involves mathematics
@jesuis_jo
All the people that currently is teaching, (making videos or producing material), know about how hard is to produce it, so thank you. I encourage you to continue doing it, best. Jo
@senthilkumarpalanisamy365
This is one of the best clear cut video, people who scare about the internal math of ml model can get confidence to learn after watching this video. Thanks much sharing madam, please do post more !!!!
@philiprhome3824
for calculus and linear algebra, they are more important in machine learning especially deep leaning
@MediumSizedPizza
Great job verbalizing the learning process! This video took thoughts out of my brain 🧠 in a really structured way. 🙌💯
@swapnil1
When I encounter new topics I don't note them 😢, that's why after a few days I forget those topics. Thanks Thu Vu for marking the point , this video was great.
@DataProfessor
Thu Vu, the editing is next level and the there's so much B-roll, really cool. Just wondering, are you using Premiere Pro or Final Cut Pro?
@flwi
Thanks a lot for putting together this guide! It gave me a good overview of what I might need to dive into if I decide to tackle the new course by Andrew Ng. Highly appreciate your effort! 🙏
@Jumpingoffacliff2000
Thanks!
@andrewign5806
I found discrete mathematics, which I did not learn in university, irreplaceably useful for my CS courses. (Udemy, Amoure.) I did actually complete "Mathematics for Machine Learning". Great style of teaching! Wouldn't be able to do it on my own.
@quangphu1912
Thank you for such great tips in learning Mathematics for DS, Thu. I was lost in the maze of math and statistics for DS; your video did shed some light on the learning path and how to structure these complicated concepts for later reference
@johnk8174
Fabulous. I especially liked the animations of linear algebra things that flew by.
I also liked your brief discussion of imposter syndrome ("don't act on it") vs enthusiasm ("take action on it").
Finally, I appreciated you saying that you're not smart enough to do research... for me, realizing that I am really not as smart as I thought or imagined myself to be has been helpful in "getting real", without falling down the pit of imposter syndrome.
@Thuvu5