How to Win Kaggle Competitions - Competition Master Advice
Ғылым және технология
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
Пікірлер: 30
This one was almost everything I would ask him. Please do more interview like this. Have a nice journey on KZread 🖤
Great job KZread recommendation algorithm. Interesting interview. See you on Kaggle :)
thx for the insightful video keep up the great work
great interview!!!!!
it's interesting, continue in this type of videos
Uh, great content! Thanks a lot🙏
Good job Ghazi and Firas! Looking forward to further collaborations between both of you!
@GGLab
2 жыл бұрын
Thank you 🙏
Great content thank you and keep it up :D !!
@GGLab
2 жыл бұрын
✌🏻❤️
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.
@vivianavargas7031
2 жыл бұрын
Why is it not going to be viable anymore? 😔
@vamshiabhilash
2 жыл бұрын
It's just a myth don't be fooled
@kaiwalyajoshi7788
Жыл бұрын
Try machine learning
@AaronWacker
Жыл бұрын
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?
@firasbaba7678
2 жыл бұрын
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?
@parthverma7089
3 ай бұрын
@@ritwikghosh5833 could you please suggest me an active competition where the data set is not that huge
@manishpatil09
2 ай бұрын
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
i was waiting for my name to be mentioned 😂😃
@GGLab
2 жыл бұрын
😂😂
14.20 best part of the session and the good answer , i said the same to my friends but they wont believe me
RL is a hacky field. No one cares about the math except some academics.
twensa?
@GGLab
Жыл бұрын
Yess
and how to get 100k))