How to Learn Math for Data Science (and stay sane!)

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🤖 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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📖 Google Advanced Data Analytics Certificate 👉 imp.i384100.net/anK9zZ
📖 Google Data Analytics Certificate 👉 imp.i384100.net/15v9y6
📖 Learn SQL Basics for Data Science Specialization 👉 imp.i384100.net/AovPnJ
📖 Excel Skills for Business 👉 coursera.pxf.io/doPaoy
📖 Machine Learning Specialization 👉 imp.i384100.net/RyjykN
📖 Data Visualization with Tableau Specialization 👉imp.i384100.net/n15XWR
📖 Deep Learning Specialization 👉 imp.i384100.net/zavBA0
📖 Mathematics for Machine Learning and Data Science Specialization 👉 imp.i384100.net/LXK0gj
📖 Applied Data Science with Python 👉 imp.i384100.net/gbxOqv
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📩 Newsletter: thu-vu.ck.page/profile
✍ Medium: / vuthihienthu.ueb
🔑 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
================================
As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on some of the links above. It costs you nothing but helps me with content creation.
#Math #DataScience #Datanerd #DataAnalysis #CoffeeData #ThuVu #dataanalytics

Опубликовано:

19 июн 2024

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Комментарии : 303

@Thuvu5 2 года назад

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! 🙌🏽

@amanthinks374 2 года назад

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!

@Thuvu5 2 года назад

@@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.

@ytlfv 2 года назад

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.

@mclovin6537 2 года назад

Can you just come teach me 😭 haha

@stavrosvogiatzis4016 2 года назад

@@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

@wthxrsh 2 года назад

Maths is scary but when you learn maths with Data Science perspective, it actually starts making sense and you find it interesting!

@cutiegirl3400 2 года назад

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

@wthxrsh 2 года назад

@@cutiegirl3400 all the best 👍💯

@cutiegirl3400 2 года назад

@@wthxrsh thank you very much ! Do you have any advice on how to improve?

@johnhillescobar Год назад

@@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.

@hienlinhvu5041 Год назад

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?

@LukeBarousse 2 года назад

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! 👏🏼

@FaruqAtilola 2 года назад

Louder Luke!!!

@Thuvu5 2 года назад

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! 🤩

@lpac8272 2 года назад

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.

@Thuvu5 2 года назад

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..

@quangphu1912 2 года назад

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

@akhilrajkumar894 2 года назад

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. ❤️❤️❤️

@intheshademusical9333 2 года назад

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.

@Thuvu5 2 года назад

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 😃🙌

@MediumSizedPizza 2 года назад

Great job verbalizing the learning process! This video took thoughts out of my brain 🧠 in a really structured way. 🙌💯

@Thuvu5 2 года назад

Aw thank you so much!! Great to know that I could read your brain 😉😉. Thanks for watching! 🙌🏽

@anuragthakur5787 2 года назад

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

@Thuvu5 2 года назад

Aw thanks for this Anurag! I really appreciate it! 👋

@jeffqamoos8746 Год назад

Absolutely amazing. You have encouraged me to dive into data analytics. Thank you so much.

@flwi 2 года назад

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! 🙏

@senthilkumarpalanisamy365 11 месяцев назад

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 !!!!

@HaCkeMatician 2 года назад

Thanks for the great explanation! I found that very helpful and insightful! Keep up the great work! And, Good day!

@ashutoshm.5920 Год назад

Great animation and content and delivery, gr8 channel , thanks🙌

@arinatsirkuleva9383 2 года назад

Thanks Thu! I really enjoy your videos! Thanks for sharing your experience!

@Thuvu5 2 года назад

Glad you enjoy it! Thanks for watching 🙌🏽

@millerdane 10 месяцев назад

Recently found your channel - GREAT STUFF. Thanks foe sharing your knowledge

@NeatNeat121 2 года назад

This is a great overview, thanks for making it!

@Thuvu5 2 года назад

Great to hear Anita 👋

@fleups 2 года назад

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.

@Thuvu5 2 года назад

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!

@linh-loantran8272 2 года назад

Great video Thu Vu, Thanks so much for the tips especially for beginner like me who is just getting into DS field.

@Thuvu5 2 года назад

You're very welcome! Glad it helped! Thank you for watching :)

@deterdinghenry3592 Год назад

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.

@kcpkcp1000 2 месяца назад

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.

@DataProfessor 2 года назад

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?

@Thuvu5 2 года назад

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 🙈

@DataProfessor 2 года назад

@@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. :)

@Thuvu5 2 года назад

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 😂

@ankithguzz 2 года назад

Brilliant summary! This is the first time I've come across your channel and I have subscribed now!

@Thuvu5 2 года назад

That’s awesome!! 🤩 welcome to the club! 🙌

@johnk8174 2 года назад

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 2 года назад

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 🙌

@SundasKhalid 2 года назад

Love the video and effort you put into it 👏

@Thuvu5 2 года назад

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 🤦🏻‍♀️

@jesuis_jo 2 года назад

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

@Thuvu5 2 года назад

Thank you Jo!! Indeed it’s not easy, I feel like I learn a ton myself from producing these contents. All the best! 🙌

@Matlockization 2 года назад

I have to say that I really enjoyed the amount of content you put in this video. Thank you.

@Thuvu5 2 года назад

Oh so glad, I really appreciate it!! Thank you for watching 🙌

@AngelFelizF 2 года назад

Thanks I loved this video. Thanks for recommending those R books, they look very well.

@Thuvu5 2 года назад

Glad you liked the books. Thanks for watching Angel!

@ngontran 2 года назад

Love your video,em. :) Thanks for sharing your opinion

@philiprhome3824 2 года назад

for calculus and linear algebra, they are more important in machine learning especially deep leaning

@vivekjoshi3769 2 года назад

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

@Thuvu5 2 года назад

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 🤓

@TheMISBlog 2 года назад

Another Great and Useful Video from the Great Thu, Thanks , Love your videos

@Thuvu5 2 года назад

Aw thanks so much for this!! 💛 Hope you're doing well.

@Rocky-wt8lz 2 года назад

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 😎

@Thuvu5 2 года назад

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 🙌

@newlifenewplan 2 года назад

I concur! I just ordered linear algebra and calculus books for refreshers this summer

@isidroleonyork2157 Год назад

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.

@jeffk8900 Год назад

Thanks for your videos. You do a great job.

@Thuvu5 Год назад

Thank you so much for your support Jeff! 🙌🙏

@kamertonaudiophileplayer847 2 года назад

It is an amazing channel. Every data scientist should start from here. Keep your tremendous effort for the very important topic.

@Thuvu5 2 года назад

That's so kind of you! Thank you 🤩

@andrewign5806 2 года назад

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.

@Thuvu5 2 года назад

Thanks so much for sharing this Andrew!

@healthyauthentic7453 2 года назад

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 🙂

@Thuvu5 2 года назад

You are so welcome! Thank you for these kind words, it really means a lot! 🙌🏽

@jyothilakshmikrishnakumar9398 2 года назад

Hii!!! I find your content extremely helpful and thank you for the awesome videos so far.

@Thuvu5 2 года назад

Hey Yyothi, thanks so much for this!! 💙

@gnavarrolema 2 года назад

Great video. Thank you!!!

@missysmithy25 2 года назад

Thank you for the video 😊

@ldred2604 Год назад

Brilliant videos, one can feel the passion in your words

@Thuvu5 Год назад

Thank you so much for your kind comments 💜

@joaovitorpinheiroocker8343 2 года назад

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.

@Thuvu5 2 года назад

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! 👋

@knw-seeker6836 2 года назад

Thanks for the tips

@ivlivs.c3666 2 года назад

wonderfully helpful! Thank you!

@Thuvu5 2 года назад

So glad! Thanks for tuning in 🙌🏽

@alijebrailzade7439 2 года назад

The first video I watched on your channel Already Subscribed👍👍👍

@Thuvu5 2 года назад

Yaaaay!! Welcome to the club! 🙌

@oluwadaraadepoju5832 2 года назад

Great video, thank you for the tips

@kevindeloria2920 2 года назад

awesome video as usual! majority of the maths are abstracted by libraries nowadays but fundamentals are very important to know which ones to use!

@Thuvu5 2 года назад

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 😅

@nitishsonkar8947 2 года назад

awesome informative video also need to know the geometry and trigonometry

@swapnil1 2 года назад

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.

@Thuvu5 2 года назад

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!! 👋

@rrrevered Год назад

Thank you, Vu!

@mabrouk642 10 месяцев назад

Great post, Thank you!

@Whatever20237 2 года назад

A neat & helpful channel!

@aldorodriguez7310 Год назад

Thank you❤🌷

@VenkyBeast 2 месяца назад

Calculas is hardest when you enter integration part! rest are super easy, like Limits, Derivatives & It's chain rule and Partial derivatives!

@trongnhantran3358 Год назад

This video help me a lot!!!

@cerealport2726 2 года назад

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.

@Thuvu5 2 года назад

Totally agreed! Math is indeed a bit scary but it's also so powerful!

@xuanquangnguyen2291 2 года назад

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

@Thuvu5 2 года назад

Thank you so much for your kind words Quang!! 🤗🙌

@xuanquangnguyen2291 2 года назад

@@Thuvu5 Hope I can study more from you, you're very kind, thank you.:) :) :)

@md.alamintalukder3261 Год назад

Thanks a lot

@mahakyadav1584 Год назад

Mam i do follow you on linkedin as well and you are really doing great thank you ❤

@upadisetty 2 года назад

great content.. following you to learn more

@amanthinks374 2 года назад

Can you please share the one note notebook with the MIT notes?

@superhero5245 Год назад

That what I hope 🙏

@zaheramasha8139 Год назад

Yes please

@fernandoflores1887 2 года назад

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!

@Thuvu5 2 года назад

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! 👋

@ahmedtareq5342 2 года назад

Great video

@Jumpingoffacliff2000 Год назад

Thanks!

@Thuvu5 Год назад

Thank you so much for your support! ❤️🙌

@foxcode0084 7 месяцев назад

Chị Thu Vũ chính là người dẫn em vào con đường "nghiện ngập" học data science này.

@thedailyepochs338 2 года назад

Awesome Video

@prakhars962 2 года назад

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.

@soldierbirb 2 года назад

You're looking more healthy, I'm happy for you. And great video btw!

@Thuvu5 2 года назад

Thank you so much! 😄 Yes, I've been feeling much better after that horrible flu 🙈. Thank you for watching!

@KhanhNguyen-bn4jx 2 года назад

Hi chị, great contents

@nikhiljagia6740 2 года назад

Very Very Nice Video Sis!!

@VRI81 Год назад

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?

@thomasmarkle8480 2 года назад

great video brilliant summary

@Thuvu5 2 года назад

Thank you Thomas! 🤩

@chinacetacean 2 года назад

Looove it!

@Thuvu5 2 года назад

Glad to hear 🙌. Thanks for watching 👋

@BillyT83 2 года назад

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)?

@Thuvu5 2 года назад

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

@becayebalde3820 Год назад

Your content is great I don’t know why I hadn’t subscribed yet +1 ❤

@trieule2012 2 года назад

It is so greate. Thanks for all these knowledges

@Thuvu5 2 года назад

Always welcome, Trieu! Thanks for watching 👋

@trieule2012 2 года назад

I hope this video can motivate as well as give the students another look at the DS. It is really helpfull

@thewalker9846 2 года назад

Love your video style, Do you edit all of your videos by yourself? If yes what software do you use?

@Thuvu5 2 года назад

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 😊

@Archarios1 8 месяцев назад

Informative, professional and entertaining, especially sadistics, had me rolling lmao

@newlifenewplan 2 года назад

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.

@karinahulka1486 Год назад

Thanks a lot for the video! Is mit applied data science notebook available to check out?

@gbw4908 2 года назад

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

@Thuvu5 2 года назад

Haha great to hear! Hope it didn’t make you too anxious 😂. And thanks for the recommendation! 🙌

@user-fu9sr4uo3k 2 года назад

Another great video. Thanks Thu Vu. One question: could you reshare stavros vogiatzis’s notes? Thanks again!

@Thuvu5 2 года назад

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 🙂

@user-fu9sr4uo3k 2 года назад

@@Thuvu5 totally understand. Thanks again:)

@AnkitSharma-uf8bw 11 месяцев назад

Highly appreciate for your efforts Thu Vu.Could you please recommend any book to start for DS jouney for a beginner specially from scratch!!

@HaCkeMatician 2 года назад

Could you make a video about the art and best practices in reading documentations: 1] for data to understand it. 2] for python Thanks :-)

@AliMateen 2 года назад

Completely fell in love with your videos :) Cheers from Pakistan.

@Thuvu5 2 года назад

Aw thank you so much for this! 😇 So glad you liked them!!

@Ceeloy 2 года назад

great stuff, thanks. how did you get the graphs to be animated?

@Thuvu5 2 года назад

I don’t do the animation myself so I can’t tell you 😅

@lama-chan 2 года назад

i actually quite like maths (especially statistics and probability)

@NhiNguyen-vt4gr 2 года назад

Đúng cái em đang cần 😁

@ArchanaTikayatRay19 2 года назад

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

@Thuvu5 2 года назад

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 🙌

@ritz9243 2 года назад

I learned maths for data science but now may leave data science for maths. Maths is so much fun and powerful.

@Thuvu5 2 года назад

That’s an interesting switch! Great to hear you found your ‘true love’ 🙌😁

@TotorasLife 2 года назад

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 🧠😁

@Thuvu5 2 года назад

Totally agreed! 🙌

@MadiwallappaPatil-sl5tu 2 месяца назад

Completed

@lusvd 2 года назад

When I need to find some pattern in our data, I always remember what Einstein said, E = mc2 ! :P

@Thuvu5 2 года назад

Haha you totally got this!! 😉👋

@HeyKaran-ir5mm 6 месяцев назад

Thanks for this amazing video. 🇮🇳

@withoutpassid 2 года назад

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

@Thuvu5 2 года назад

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! 🍀

@withoutpassid 2 года назад

@@Thuvu5 Thank you very much for your encouraging words.

@Kalesonnen Год назад

ICL prof cert in A.I & M.L was a complete waste of money. I spent £4000 and thankfully got it refunded halfway through. Thanks for the vids really enjoying your content

@ArunKumar-bp5lo 2 года назад

dive into deep learning is a great book for concept+code + math's behind the concept and it's free

@Thuvu5 2 года назад

Thanks a lot for sharing, Arun!!

@Eta_Carinae__ 2 года назад

Stats is a weird one. _Probability_ is definitely mathematical, since Kolmogorov's formulation is basically just a normed measure of event space. Also LLN, the properties of the distributions and their relation to eachother, statistical moments of sampled data formulas are all a priori. Bayes factor maybe, but that's not so much empirical, it's more just a matter of judgement when to use it.

@siliconewall_e 2 года назад

Bro , you are flirting.

@Eta_Carinae__ 2 года назад

@@siliconewall_e Hah, I wish! The inductive sciences just have this kind of fascinating estrangement that I'm interested in.

@siliconewall_e 2 года назад

@@Eta_Carinae__ i know , i was joking 😁

@amandaparker9402 Год назад

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