How to Learn Math for Data Science (and stay sane!)
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- čas přidán 25. 07. 2024
- 🤖 Coursera's courses mentioned:
🔗 Mathematics for Machine Learning Specialization: imp.i384100.net/BX91NB
🔗 Data Science Math Skills: imp.i384100.net/oevBxo
🔗 Deep Learning Specialization: imp.i384100.net/zavBA0
👉 Comprehensive math book for DS:
📚 Mathematics for Machine Learning: mml-book.github.io/book/mml-b...
👉 Statistics books with R:
📚 Modern Statistics with R: www.modernstatisticswithr.com/
📚 Introduction to Statistical Learning: www.statlearning.com/
📚 Introduction to Statistical Thinking: open.umn.edu/opentextbooks/te...
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📖 Deep Learning Specialization 👉 imp.i384100.net/zavBA0
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🔑 TIMESTAMPS
================================
0:00 - Intro
0:37 - The math you need to know for DS
1:12 - !!You don’t need to know everything!!
2:23 - Linear algebra essentials
3:10 - Calculus essentials
4:04 - Statistics & probability essentials
5:07 - Discrete math
6:08 - Tips for learning math
12:30 - Bonus tip
13:24 - Outro
================================
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#Math #DataScience #Datanerd #DataAnalysis #CoffeeData #ThuVu #dataanalytics
This video took me an *exponential* amount of time to edit, which is beyond my *limit* (bad math puns 😅). Please show it some love and let me know your thoughts/ questions/ struggles below! 🙌🏽
Can you please provide a link to the platform you use to take notes? And share the one note notebook with notes from the MIT courses? Thanks!
@@amanthinks374 Hey, the app I use is Notion 🙂. And the OneNote notebook is not mine so I'm afraid I can't share it with you. Stavros created it and the MIT course is a paid program so I don't think it's possible to share it freely.
Thank you so much for the video. I have just started in DS and this came at the right time. I would like to know if you could make a video on the industry or application based side of data science as my focus too is on that end.
Can you just come teach me 😭 haha
@@Thuvu5 @Os Med Surry for not being able to share the Notebook with you, unfortunately its proprietary paid learning material that we are not allowed to distribute. Thank you for your interest and attention to detail :) Best regards. Stavros
Maths is scary but when you learn maths with Data Science perspective, it actually starts making sense and you find it interesting!
Really ? I was very bad at maths but now I want to learn it more in the order to become à data analyst.
I had a very bad marks to my exams but I will try hard
@@cutiegirl3400 all the best 👍💯
@@wthxrsh thank you very much ! Do you have any advice on how to improve?
@@cutiegirl3400 Don't let your previous performance define you. Those were different circumstances, settings and you were even a different person. Just focus on learning to be a better data professional and have fun with it.
I used to be keen on and really good at math at my high school. Unfortunately, I wasnt taught math, economics, or tech..., bc I studied at Journalism and communication university. So am I able to transfer to Data industry?
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! 👏🏼
Louder Luke!!!
Thank you Luke 🙌🏽, yeah this video took me too long to make haha. I was agonizing over many details in the video along the way as well. Really happy you liked it! 🤩
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.
Hey there, thanks so much for sharing your experience!! 🙌 indeed patience is key when learning how things actually work. It’s frustrating sometimes, but I feel like the process is also rewarding in itself..
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
Thank you so much for giving clarity in what things we should focus on. I was totally confused since I am a beginner in data science. ❤️❤️❤️
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! 🙏
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.
Omg are you Daniel Egger? It’s such a pleasure to have you checking out my videos! 🤩. It’s a great course for beginners, I loved how digestible and effective it is! Thank you so much for creating the course! And also, thank you for your kind words on my channel 😃🙌
Your videos are truly amazing the editing, quality
You even told us about the topics which we are supposed to dig deep into along with the tips
Aw thanks for this Anurag! I really appreciate it! 👋
Absolutely amazing. You have encouraged me to dive into data analytics. Thank you so much.
Great job verbalizing the learning process! This video took thoughts out of my brain 🧠 in a really structured way. 🙌💯
Aw thank you so much!! Great to know that I could read your brain 😉😉. Thanks for watching! 🙌🏽
Thanks for the great explanation!
I found that very helpful and insightful!
Keep up the great work!
And, Good day!
Great animation and content and delivery, gr8 channel , thanks🙌
Recently found your channel - GREAT STUFF. Thanks foe sharing your knowledge
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 !!!!
Thanks Thu! I really enjoy your videos! Thanks for sharing your experience!
Glad you enjoy it! Thanks for watching 🙌🏽
This is a great overview, thanks for making it!
Great to hear Anita 👋
Thank you for the wonderful video. Although I have learned most of the Math you mentioned in my electronic engineering course, the video is still very interesting and helpful.
Awesome video Thu Vu! Your comments on the end of the vídeo about the impostor feeling and about the understanding vs explanation is just perfect! Ty for the amazing content.
Glad you enjoyed it! 🙌🏽 Yeah, the impostor feeling is so universal and hard to befriend. Glad you found it useful what I talked about 😇. Thank you for tuning in!
Brilliant summary! This is the first time I've come across your channel and I have subscribed now!
That’s awesome!! 🤩 welcome to the club! 🙌
Great video Thu Vu, Thanks so much for the tips especially for beginner like me who is just getting into DS field.
You're very welcome! Glad it helped! Thank you for watching :)
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.
Hey John, thanks so much for sharing your thoughts! Indeed, I feel like we should appreciate our other strengths as well and there’s no need to feel imposter 🙌
for calculus and linear algebra, they are more important in machine learning especially deep leaning
I have to say that I really enjoyed the amount of content you put in this video. Thank you.
Oh so glad, I really appreciate it!! Thank you for watching 🙌
Love your video,em. :) Thanks for sharing your opinion
Thanks I loved this video. Thanks for recommending those R books, they look very well.
Glad you liked the books. Thanks for watching Angel!
Love the video and effort you put into it 👏
Hey Sundas 👋! Thank you so much for tuning in! So glad you enjoyed it - and heck yeah, this one took me way too much time to make 🤦🏻♀️
Very courageous the way to present your ideas and recommendations and specially you experiences to encourage people!. Excellent content, very wise. Congratulations! I'm sharing you videos with my son's who are going to school. How immensely wrong were the people that put you down when younger. She on them.
awesome informative video
also need to know the geometry and trigonometry
Hii!!! I find your content extremely helpful and thank you for the awesome videos so far.
Hey Yyothi, thanks so much for this!! 💙
Thanks for your videos. You do a great job.
Thank you so much for your support Jeff! 🙌🙏
Hello!
So this is my second watch on your channel and I must say you make really good content.
Data Science is too much for me so I learn mainly for Data Analysis. I want to learn Mathematics for Data Analysis. Nowadays most of my learning constitute Statistical Analysis and some probability related parts. I am learning it in R from a book. I started to get interest in the beginning but after coming across different testing methods like ANOVA etc. it started feeling boring 😅
personally I was weak in mathematics during my school time and sometimes it feels like I am taking a wrong way by going towards analytics haha...like at some point of my career journey mathematical nightmares will haunt me lol
Hi Vivek, thank you so much! I can relate to the feeling of getting bored when learning too many statistical testing methods (that I'd probably never use)! I'd say it's okay to rotate among a few different topics and come back to this topic later, maybe you'll then feel more excited to learn it 🤓
You go girl! I love your channel. Thank you SO much for making it. Its great to see other smart women. Again thank you and do your thing! Keep the videos coming 🙂
You are so welcome! Thank you for these kind words, it really means a lot! 🙌🏽
It is an amazing channel. Every data scientist should start from here. Keep your tremendous effort for the very important topic.
That's so kind of you! Thank you 🤩
Another Great and Useful Video from the Great Thu, Thanks , Love your videos
Aw thanks so much for this!! 💛 Hope you're doing well.
Great video. Thank you!!!
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
Thank you Jo!! Indeed it’s not easy, I feel like I learn a ton myself from producing these contents. All the best! 🙌
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?
Hey Chanin! Thanks for stopping by! 🤩 I’m using Final Cut Pro. And what are you using atm? Thanks for your kind words on the video, I really appreciate it! And yeah, filming B-roll is actually more fun to me than filming A-roll, so I just like to do more of it 🙈
@@Thuvu5 Thanks for the info. I’m currently using Premiere Pro, though I am also playing around with Final Cut Pro. It’s always fun to learn what fellow creators are using for content creation. :)
Ah I see! I’ve never used Pr before. But I guess the 2 software are very similar as to what they can do. Yeah absolutely, i also love poking around to know what people use for their videos, and researching gear 😂
Great video, thank you for the tips
The timing on this. I've just picked up a book on linear algebra and Calc and have been grinding at it.
I love your car analogy, tho I'd like to expand on that. Hobbyist aside, it can be useful to have a further understanding on how stuff works because say, if your car breaks down in the middle of the road, knowing how some parts works can help you diagnose and sometimes even fix the issue you run into yourself. Ofc this isn't necessary to drive a car, but it's a parallel progression imo, if you know more, you have an edge over people who don't 😎
Absolutely agreed Sethi! Especially if you drive the car in the middle of desert 😂. It’s indeed always good to know how to diagnose the issues and potentially fix them or know where to get help 🙌
I concur! I just ordered linear algebra and calculus books for refreshers this summer
Thanks for the tips
Thank you for the video 😊
Awesome Video Thu Vu! Thanks for the tips!
I think that a good resource for statistics learning with python is the book Practical Statistics for Data Scientists by Peter Bruce, it presents the essential knowledge with applications in python and R as well.
Thank you for the book recommendation, Joao!! Oh it seems like a very good book, it actually popped up sometimes on my Amazon page and I didn't pay attention. Awesome! I'll check it out! 👋
Awesome video!! Thank you for the helpful tips!! Much appreciated.
@Stavros Vogiatzis, would love to see your One Note template as I create my own either in GoodNotes or One Note as well.
Can you please share the one note notebook with the MIT notes?
That what I hope 🙏
Yes please
Brilliant videos, one can feel the passion in your words
Thank you so much for your kind comments 💜
Mam i do follow you on linkedin as well and you are really doing great thank you ❤
awesome video as usual! majority of the maths are abstracted by libraries nowadays but fundamentals are very important to know which ones to use!
Thank you, Kevin! Really glad you enjoyed it! 🙌🏽 And yes, absolutely agreed with you about the libraries nowadays! I love them but still quite often had to dig into their documentation just to be sure what they actually do 😅
The first video I watched on your channel Already Subscribed👍👍👍
Yaaaay!! Welcome to the club! 🙌
wonderfully helpful! Thank you!
So glad! Thanks for tuning in 🙌🏽
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.
Thanks so much for sharing this Andrew!
Great post, Thank you!
Thank you, Vu!
great content.. following you to learn more
Calculas is hardest when you enter integration part! rest are super easy, like Limits, Derivatives & It's chain rule and Partial derivatives!
Thanks a lot for the video! Is mit applied data science notebook available to check out?
I really enjoy your videos Thu! Very insightful you latest one! I was always wondering how much Python should one need to know for an entry level data analyst position.
Someone should know Python at intermediate or advanced level ... of course the more the better but are there really any minimum requirements?
Will it be helpful for his/her role to know OOP with Python and advanced data structures (i.e. stacks, queues and linked lists)?
Hey there, thanks! For an entry level data analyst position I think an intermediate Python level should be ok. OOP and advanced data structures might not be necessary, unless you are doing really intensive programming stuff in your job, like building applications or data engineering
A neat & helpful channel!
Thanks a lot
Thank you❤🌷
This video help me a lot!!!
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.
Haha I can totally relate to that, Swapnil! I forget to do it all the time 🙈, always learn the hard way. Thank you for watching!! 👋
Thank you so much for your usefult guidance. Hope you can extend your channel and wide spread the your inspire along data to everyone, from a developer in Vietnam
Thank you so much for your kind words Quang!! 🤗🙌
@@Thuvu5 Hope I can study more from you, you're very kind, thank you.:) :) :)
Another great video. Thanks Thu Vu. One question: could you reshare stavros vogiatzis’s notes? Thanks again!
I’m afraid I need permission from Stavros to share it. Also it’s a paid course so in a sense, it’s not advisable to share it freely on the internet. But I hope Stavros will update us soon about this in the pinned comment 🙂
@@Thuvu5 totally understand. Thanks again:)
Well it really depends on what you want to do with data science. If are in research then you probably need more maths than coding skills. There is crazy tensor algebra if you want to modify the reverse AD without using torch.autograd.
This is a great video, I think a lot of people are scared of statistics until they start to need them, or use them in ways that are relevant for their own data.
Totally agreed! Math is indeed a bit scary but it's also so powerful!
Highly appreciate for your efforts Thu Vu.Could you please recommend any book to start for DS jouney for a beginner specially from scratch!!
03:51 made me laugh so hard. Thanks for the video. Also , can (and how do) we get access to yours and Stavros's Notion pages?
I don't know a thing about DS. But I know Math and how to study it, and in fact I worked many years in Financial Math and taught it for ten years at the Universidad de Buenos Aires. So, a tip: if you try to study Math as in this video, with the book in front of you and a little notepad at the left, -being you're righthhanded-you'll hate Math for life. Try then to do it reverse: a big notepad in front of you, the pen in your hand, the book on the screen. A virtual one, of course. Then, learn one math idea, eigenvectors for instance, and start to work in your notebook over it. And write Math. 90% time writing, thinking, explaining; and just about 10% time reading. And you'll succeed. Otherwise, I completely share your pov about learning. Greetings.
Thanks!
Thank you so much for your support! ❤️🙌
Your content is great
I don’t know why I hadn’t subscribed yet
+1 ❤
Hi Thu Vu! Just started watching your videos and found peace on them, I just graduated six months ago from a BsC on Financial Engineering, focused on Data Science and found my passion on ML. It is overwhelming wanting to know everything sometimes, but now I am taking one step at a time. I started working on a fintech startup but being the only DS Engineer over there is making the journey lonely. Even if I am expanding my portfolio and doing a lot of interesting courses I want to know if you (or anybody) have any recommendations on communities or "social networks" for expanding my DS network and getting interaction, rather than just following big names on LinkedIn, as of now I consider myself a student. Greetings from México!
Hey Fernando, I can relate to the lonely feeling you're experiencing. think there are a lot of communities out there. I used to join local Data science Meetups in Amsterdam to meet and talk to people. Online there are also a lot of Discord communities (for example Tina Huang has one of her own). Greetings from the Netherlands! 👋
It is so greate. Thanks for all these knowledges
Always welcome, Trieu! Thanks for watching 👋
I hope this video can motivate as well as give the students another look at the DS. It is really helpfull
great stuff, thanks. how did you get the graphs to be animated?
I don’t do the animation myself so I can’t tell you 😅
Love your video style, Do you edit all of your videos by yourself? If yes what software do you use?
Thank you! Yes I edit videos by myself (but currently looking for a video editor to help me with this). I use Final Cut Pro 😊
Could you make a video about the art and best practices in reading documentations:
1] for data to understand it.
2] for python
Thanks :-)
Completely fell in love with your videos :) Cheers from Pakistan.
Aw thank you so much for this! 😇 So glad you liked them!!
Hey! Thanks for the video. Wanted to check if you could share the link to notion notes that was shared by one of your subscribers. Thanks
Hi Archana, thanks for watching! it’s unfortunately not possible because it’s proprietary content from the MIT program, please see Stavros’ reply in the pinned comment. But I’m hoping to invite him to a new video to explain his process to create such notebook 🙌
Great video
great video brilliant summary
Thank you Thomas! 🤩
Hi chị, great contents
You're looking more healthy, I'm happy for you. And great video btw!
Thank you so much! 😄 Yes, I've been feeling much better after that horrible flu 🙈. Thank you for watching!
Chị Thu Vũ chính là người dẫn em vào con đường "nghiện ngập" học data science này.
Awesome Video
Very Very Nice Video Sis!!
Informative, professional and entertaining, especially sadistics, had me rolling lmao
i actually quite like maths (especially statistics and probability)
Thank you for poping into my feed and give me an anxiety strike… but seriously, great video, I do recommend the MIT open course, they have a great selection of courseworks
Haha great to hear! Hope it didn’t make you too anxious 😂. And thanks for the recommendation! 🙌
Hi Thu!,
I would appreciate it if you share the notebook system, please
Looove it!
Glad to hear 🙌. Thanks for watching 👋
A very well made video. It is just amazing how many tips you gave us...Thank you very much :D May i ask you if it is possible to share the onenote file of the MIT ds course? Best Regards
Thank you so much Gabriele! Hm the onenote file is created by Stavros and it's a paid course that he took, so he might not be able to share it freely on the Internet 😅. But I'm checking this with him, and maybe we'll do a detailed video on how to create such notebook. So stay tuned!
@@Thuvu5 Would love for you both to do a video about setting up your notes in OneNote and review an organizational example of your notes on a particular topic
Đúng cái em đang cần 😁
Do I need to study Data Structure and Algorithms as well?
I agree that there are many things we studied at college may not be useful in real world settings. But as a student, it is a good training process by taking hard core subjects to build up a sophisticated brain 🧠😁
Totally agreed! 🙌
is there a way to learn the Starvros Vogiatzis system??
Hello Mam. Can you please suggest one book ALL IN ONE for data science and machine learning? Please
I read some of your articles on Medium. I'm happy to find your channel here. I'm pursuing a micromaster program on Edx on Stastistics and Data Science. Do you think I can switch from biological/biomedical research to DS with certificates from Edx? Thank you. Hiep
Hi Hiep! Thank you for checking out my videos. Of course you can! I think the Edx course should equip you with more than enough to get started in data science. Your biological/biomedical background could be an advantage when you want to do DS in related fields. Good luck! 🍀
@@Thuvu5 Thank you very much for your encouraging words.
Hi I was wondering how much do you use math (not stats) in your job as a data scientist? I want to have a career that involved a lot of math. It is very discouraging when I hear about some data scientists that don’t use much math and mostly do programming and stats in their job
Completed
Can we get the a link to the note.