sorry to be offtopic but does any of you know a trick to get back into an instagram account? I was stupid lost my account password. I love any tricks you can offer me.
@Davian Jabari I really appreciate your reply. I got to the site through google and im in the hacking process atm. I see it takes a while so I will get back to you later with my results.
Great interview Lukas, I didn't think I'd get good advices in winning Kaggle from someone at that top-level like the CEO but turns out he is well versed in the business and was generous with the information provided, thank you for prompting and leading the conversation with questions that really matter.
Thank you for such an insightful interview! Your questions perfectly mirrored my own curiosities, and it's the first video I've watched till the end. It provided a wealth of knowledge and left me feeling incredibly satisfied.
I was just yesterday entering a new Kaggle competition and was looking for some more insights into the field. I don't know how you did it, but the algorithm on choosing your guests works!
Around 13:20 he mentions a Google researcher that I didn't catch. Does anyone know the name of the researcher he mentions? Regarding data sets that are too small to CV.
That wire made me think he was plugged in! Amazing talk though, WandB if you see this comment please make a video series or something on the clever techniques kind of case studies. That data augmentation trick was really cool...
Loved listening to this talk! I am about to finish my masters soon and am excited to start my professional journey in the field of ML. I often hear people say that kaggling is quite different from working in the industry because the datasets you see on kaggle have already been cleaned. Any advice for a noob who's looking to bridge this gap and also gain experience in data cleaning and wrangling?
He says cross validation can be used to prevent overfitting..?? Its used to check overfitting right...overfitting is reduced by limiting features or adding more data.
This is kind of like meta-overfitting. In a kaggle competition people will typically try a ton of different techniques, so with a fixed test set it's possible to overfit hyperparameters to the specific test set, and then performance drops on kaggle's held out test set.
![How he became an EXPERT in KAGGLE 🔥 | Machine Learning Roadmap Revealed 😍 [2022]](/img/1.gif)
Each of your questions was so meaningful and pertinent. Thank you so much for such an incredibly insightful video.
Is Anthony practising dance moves while answering the questions? :)
i think he is walking on treadmill
sorry to be offtopic but does any of you know a trick to get back into an instagram account?
I was stupid lost my account password. I love any tricks you can offer me.
@Patrick Adonis instablaster ;)
@Davian Jabari I really appreciate your reply. I got to the site through google and im in the hacking process atm.
I see it takes a while so I will get back to you later with my results.
@Davian Jabari it did the trick and I now got access to my account again. I'm so happy!
Thank you so much, you saved my account !
Great interview Lukas, I didn't think I'd get good advices in winning Kaggle from someone at that top-level like the CEO but turns out he is well versed in the business and was generous with the information provided, thank you for prompting and leading the conversation with questions that really matter.
Thank you. This is very useful to people who are beginners in ML filed. Keep doing such brilliant insightful content
Thank you for such an insightful interview! Your questions perfectly mirrored my own curiosities, and it's the first video I've watched till the end. It provided a wealth of knowledge and left me feeling incredibly satisfied.
Thank you very much for this amazing podcast. Helped me and gave me better ideas on how to proceed ❤️
This was really insightful! Thanks for having this interview!
Glad you enjoyed it!
Really love who you bring on to these interviews. Very insightful questions as well. Great channel! Keep it coming!
Thank you! Let us know if you have any ideas or requests on who we could talk to :)
His (Anthony's) dance moves are hypnotising my mind and I keep on anticipating his next move...yet the discussion is particularly fertile!
He's walking on a treadmill.
I was just yesterday entering a new Kaggle competition and was looking for some more insights into the field. I don't know how you did it, but the algorithm on choosing your guests works!
Glad we were able to help, happy Kaggle-ing!
Come on people, he's on his treadmill.
Around 13:20 he mentions a Google researcher that I didn't catch. Does anyone know the name of the researcher he mentions? Regarding data sets that are too small to CV.
I believe it's Moritz Hardt
That wire made me think he was plugged in!
Amazing talk though, WandB if you see this comment please make a video series or something on the clever techniques kind of case studies. That data augmentation trick was really cool...
Lol, thank you! We'll take note, we're designing another set of tutorials now and will take this into consideration
awesome, and thanks for the timestamps! really helpful
love the work guys! keep it up fella xxx
It´s working great. Thank you so much for sharing the information
really great insights, thanks for creating and sharing this.
Phenomenal interview!
Can anyone hold & fix the position of the guy on the right
Thanks a lot for great info man
Thank you, really insightful content
Really nice questions and answers, this was gold!
Btw..why is he walking? lol
He was on a treadmill, thank you!
Loved listening to this talk! I am about to finish my masters soon and am excited to start my professional journey in the field of ML. I often hear people say that kaggling is quite different from working in the industry because the datasets you see on kaggle have already been cleaned. Any advice for a noob who's looking to bridge this gap and also gain experience in data cleaning and wrangling?
Thank you! You may find this Kaggle course on data cleaning useful www.kaggle.com/learn/data-cleaning
He says cross validation can be used to prevent overfitting..?? Its used to check overfitting right...overfitting is reduced by limiting features or adding more data.
This is kind of like meta-overfitting. In a kaggle competition people will typically try a ton of different techniques, so with a fixed test set it's possible to overfit hyperparameters to the specific test set, and then performance drops on kaggle's held out test set.
Is he cycling while the interview?
Great video
Thanks, glad you enjoyed it!
Last years review of Kaggle winners.. in case you are interested..
ruclips.net/video/pL96IPZZ-88/видео.html
this cross-validates a road-map to the journey of AI challenge
Thanks
thanks
anthony going left-right-left right. maybe he's on a treadmill.
is he walking on a treadmill ?
Yep!
Niceeeeeeee
Why Anthony cant stop moving? Is he in a walking machine?
looked like he was on a slow-moving treadmill.
Dont move