How to Win Kaggle Competitions - Competition Master Advice
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- Опубликовано: 19 июн 2024
- Firas is a Competition Master in Kaggle ( www.kaggle.com/rinnqd ), talks about how to successfully participate in a Kaggle Competition and win it, and more AI discussions.
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--------------- CONTENTS ---------------
00:00 INTRO
01:14 QUICK QUESTIONS
01:40 KAGGLE QUESTIONS
07:49 DATA ENGINEERING
08:50 OVERFITTING
10:24 DATA AUGMENTATION
11:28 DEEP LEARNING
12:43 REINFORCEMENT LEARNING
18:04 OUTRO
#AI #kaggle #machinelearning #ML #howtowinkagglecompetition #howtowinkaggle #software #datascience #datascientist #developer Наука
This one was almost everything I would ask him.
Please do more interview like this. Have a nice journey on RUclips 🖤
Great job RUclips recommendation algorithm.
Interesting interview.
See you on Kaggle :)
thx for the insightful video
keep up the great work
Uh, great content! Thanks a lot🙏
it's interesting, continue in this type of videos
great interview!!!!!
Good job Ghazi and Firas! Looking forward to further collaborations between both of you!
Thank you 🙏
Great content thank you and keep it up :D !!
✌🏻❤️
the future of developers is really scary but we don't know what's gonna happen with acadamics, researchers, i think they gonna be demanded still for a long time, right?
great interview. sounds very confident. one thing i disagree. big companies cannot do everything. this is where if you find an area of interest that serves a lot of people and expand on it, a big company can knock on your door to buy your biz with millions of dollar. don't be dismayed by his comment on this.
Great video! I am disheartened to hear that Data Science might not exist as a viable profession in 10 years, especially since I am getting my masters in Data Analysis... Maybe you can ask him what Data Scientists should try to transition to so they won't become unemployed, lol.
Why is it not going to be viable anymore? 😔
It's just a myth don't be fooled
Try machine learning
Full stack AI dev with huggingface, gradio and streamlit is where its at. Port your notebooks w vscode. AGI is there and data science goes that way since you are ready for prod in 5 minutes with community.
Can someone please tell the name of the data augmentation library he mentioned?
albumentations
Regarding the training of large datasets, almost all of the Kaggle Competition have very huge dataset, how to deal with this when you cannot afford GPU's?
@@ritwikghosh5833 could you please suggest me an active competition where the data set is not that huge
hey, i also do not have a gpu but i use kaggle notebooks,they are very efficient
I am new to DS, him saying data scientists will be obsolete kinda scares me coz its true
14.20 best part of the session and the good answer , i said the same to my friends but they wont believe me
i was waiting for my name to be mentioned 😂😃
😂😂
RL is a hacky field. No one cares about the math except some academics.
twensa?
Yess
and how to get 100k))