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 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.
@@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
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 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?
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..
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 😃🙌
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.
Youre not wrong. Theoretical Math, Physics, Chemistry and Engineering are wayy harder than programming because youre discovering/inventing the science wile trying to solve daily tech problems. Programmer dont understand this.
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 🙌
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
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 🙌
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 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! 🙏
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
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 😂
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 🙂
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 😅
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.
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 🤓
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.
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
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! 👋
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.
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 🧠😁
You, and I mean everyone of you hopefully reading this comment, must use every single algorithm or mathematical concept on a particular problem within a particular context. So if you want to learn calculus/backpropagation/naive Bayes classifiers etc then define yourself a problem or search for a problem were the algorithm you want to understand already used. Then search for an already got documented and commented jupyter notebook and go for it step by step and do your notes. I also recommend TorchStudio to see what happens with your data on detail and what training parameters really do with your tensors. Ok, my tips tend to be a little bit machine learning-ish but whatever. If you try to learn something without context in this field you will end in a big frustration with math. Just my 2 cents.
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! 👋
I have a master's degree in mathematics and I have just realized that in order to end up in the data world I need to learn SQL and python. Everyone who is in the data field tells me there's no mathematics in the data world. it is all data wrangling and sorting column table after table. This sounds really depressing to be honest.
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.
Muchas gracias por tus videos, son geniales!! Soy tu fan😄...I love Data Science . 🙋♀️Can you make pls 1 proyect with Data of NU (Naciones Unidas)Podrías por favor hacer 1 proyecto con datos de Naciones Unidas??? Plsss🙏 👩💻🥺
Thanks for watching and being a fan, Muchas! 👋 I will think about making such content, but I'm not sure. Is there any specific topics or kinds of projects with UN data you have in mind?
@@Thuvu5 I make investigation with questions, example: ciberbullying in the school; but, I want made investigation with data science - data and microdatos social problems- (I been use payton, I like it). I don't understand the structure or the points for make 1 proyect the data science with -data or microdatos- . Thanks you. Sorry for my english.
@@Thuvu5 and the courses are boring 😒... your videos are great, they motivate me to continue learning and looking for books and other videos. thank you.
Thanks for the "road map" for what I'll need to learn. It's very helpful. Some real good advice including dating advice, even. From now on if someone asks me about dating, I'll just give them that formula :p
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 🙌
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! 🍀
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
