Hello from Kigali, Rwanda :) thank you for this insightful video, I am preparing for second year of my master's degree, and I have already taken some courses including Mathematics for Machine Learning, that used the book you recommended, I want to revise them plus ones you recommended for me to be ready for fall semester!
Hi Egor can you talk us through your first data science project like how you got the idea, mistakes your made or learned from. And perhaps projects you would do today to really show off your skills.
Hi Egor. Thank you very much for your videos. I'm from Colombia and I'm a beginner in the data world. I hope you keep creating content to help us become great Data Scientist (Sorry for my English, I'm learning :V).
And speaking about math/graph theory, the the 7 bridges of Königsberg is an interesting one, but in reality, rarely really needed as a data scientist..
Interesting! Yeah that’s used quite a lot in optimisation problems like the travelling salesman problem. Maybe that’s an area that you would like to explore!
Hello from Cuba, excellent video Egor! I'm trying to land my first job and your videos are amazing, your recommendations have been very useful for me, books, tutorials, everything, thanks a lot. I wish you the best and I am sure you will soon get the verification badge from TH-cam.
Really like your videos. Quick question, Is the company the company that dictate you where to work remotely or you can work anywhere in the world ? Thanks for sharing
Fantastic video bro! I have been a data analyst for over 2 years now, 1st class BSc in Biochem, A-level maths. Would you say I still need an MSc in maths/stem to compete with other candidates, or self teach to upskill and enter data science? Thanks again
I think you are fine to upskill, unless you want to take a DS or ML masters is another option. But since you have been an analyst you probably have a lot of knowledge and industry experience. I reckon the self taught route would be easiest. Is there a way to do an internal move within your company? Might be the easiest option
Good question. I use a Macbook Pro M1 14 inch at work and Macbook Air M2 13.3 inch. Personally I prefer the macbook pro due to the screen size. I find Macs are generally better for programming than windows due to the UNIX based systems. I am also an Apple fan boy!
@@egorhowell thanks for answering! I was also wondering how much ram do you think is sufficient? 8 or 16GB? Especially for machine learning models, does it normally take a lot of ram?
I'm in India and want to work in the US. How do I get a job (in the future, I'm still learning in school currently) in a good company in the US? Is it hard? Does it require lots of funds? How does it work?
@@egorhowell People who are already data scientists said to me that is better to do an AI master degree than data analyst and work in parallel as data analyst due to the master of data analyst is a brief of things that you will get to know in your work rather AI master ou get knowledge that will help you expand your options.
I more interested in gradinet boosting ml also feature engineering dimension reduction and bigger feature extarction and the max depth =2 tree size = as less as possible and also discarding reason and correlation this can cause both over and under fit but pca is very tough for example more than 3 feature at once
Hi I am new in newyork city I am looking to do an undergraduate degree in data science which universities you recommend which is cheaper and good for data science in nyc
Hello from Kigali, Rwanda :)
thank you for this insightful video, I am preparing for second year of my master's degree, and I have already taken some courses including Mathematics for Machine Learning, that used the book you recommended, I want to revise them plus ones you recommended for me to be ready for fall semester!
That's good, well done!
Hi Egor can you talk us through your first data science project like how you got the idea, mistakes your made or learned from.
And perhaps projects you would do today to really show off your skills.
Sure, this is a good future video idea :)
Hi Egor. Thank you very much for your videos. I'm from Colombia and I'm a beginner in the data world. I hope you keep creating content to help us become great Data Scientist (Sorry for my English, I'm learning :V).
Thank you very much!!!
Great video indeed. Not sure for you, but I’ve found the laws of logic and graph theory quite fascinating tbh 🙂
And speaking about math/graph theory, the the 7 bridges of Königsberg is an interesting one, but in reality, rarely really needed as a data scientist..
Interesting! Yeah that’s used quite a lot in optimisation problems like the travelling salesman problem. Maybe that’s an area that you would like to explore!
Hello from Cuba, excellent video Egor! I'm trying to land my first job and your videos are amazing, your recommendations have been very useful for me, books, tutorials, everything, thanks a lot. I wish you the best and I am sure you will soon get the verification badge from TH-cam.
Best of luck! Thank you!!
Really like your videos. Quick question, Is the company the company that dictate you where to work remotely or you can work anywhere in the world ? Thanks for sharing
where you work is purely down to the company
This video is very informative..
Glad it was helpful!
(Although you didn't mention them here) do you recommend the books: Introduction to Statistical Learning and Elements of Statistical Learning?
Yes, great resources!! Elements of statistical learning is even in my background!
Fantastic video bro! I have been a data analyst for over 2 years now, 1st class BSc in Biochem, A-level maths. Would you say I still need an MSc in maths/stem to compete with other candidates, or self teach to upskill and enter data science? Thanks again
I think you are fine to upskill, unless you want to take a DS or ML masters is another option. But since you have been an analyst you probably have a lot of knowledge and industry experience. I reckon the self taught route would be easiest. Is there a way to do an internal move within your company? Might be the easiest option
Hi, what laptop do you use for your work? I’m getting into computer science for uni and would love to hear your input
Good question. I use a Macbook Pro M1 14 inch at work and Macbook Air M2 13.3 inch. Personally I prefer the macbook pro due to the screen size.
I find Macs are generally better for programming than windows due to the UNIX based systems.
I am also an Apple fan boy!
@@egorhowell thanks for answering! I was also wondering how much ram do you think is sufficient? 8 or 16GB? Especially for machine learning models, does it normally take a lot of ram?
@@adamnuqui9908 In my opinion I think 16GB should be the baseline for any MacBook that will be used in programming :)
It depends, if you work in the cloud often, then it doesn't really matter tbh
I'm in India and want to work in the US. How do I get a job (in the future, I'm still learning in school currently) in a good company in the US? Is it hard? Does it require lots of funds? How does it work?
Hey, unfortunately I am not really equipped to answer this question as I have no experience in this situation :(
@@egorhowell oh, it's fine. Thanks for replying though, never expected it!
No worries, I reply to pretty much every comment!
from africa......good
Do you suggest me to make the AI master degree and work as a data scientist or do parallel work as data scientist and do my master in data analysis ?
both sound like good options, what's your preference?
@@egorhowell People who are already data scientists said to me that is better to do an AI master degree than data analyst and work in parallel as data analyst due to the master of data analyst is a brief of things that you will get to know in your work rather AI master ou get knowledge that will help you expand your options.
The AI masters is probably better and harder. I think it will be more interesting :)
I more interested in gradinet boosting ml also feature engineering dimension reduction and bigger feature extarction and the max depth =2 tree size = as less as possible and also discarding reason and correlation this can cause both over and under fit but pca is very tough for example more than 3 feature at once
Good point, sounds interesting!
whats with R?
I personally recommend learning Python over R :)
Hi
I am new in newyork city
I am looking to do an undergraduate degree in data science which universities you recommend which is cheaper and good for data science in nyc
Hey, unfortunately I cant answer that question as I am from London and have no knowledge of NYC, sorry!