Honest to God, this is the first helpful explanation for the validation set I’ve heard; replicate the disparity you expect to see in the test set when extracting the validation set…it’s crazy how simple and sensical that is
What an incredibly insightful podcast, especially for beginners like myself! It was not only fantastic but also rich with valuable knowledge. Loved every bit of it. Keep up the outstanding work, Neil!
Thanks so much for the positive feedback. So happy to hear that you enjoyed our conversation. Let me know if there are any other topics that you would be interested to see on the podcast :)
Great podcast! First time watching, such nice personalities you both have! Was very interesting and entertaining for me, as I am a data science and machine learning student. Keep up the good work!
Thanks for your message and glad to hear that you enjoyed the podcast. The skills that you need for an entry level job strongly depend on the job but I will highlight two things: 1. Coding skills, I would recommend to learn Python. 2. Machine learning skills. I would recommend you to take an intro to ML course and then do a project by yourself to practice the theory. Does this help?
Honest to God, this is the first helpful explanation for the validation set I’ve heard; replicate the disparity you expect to see in the test set when extracting the validation set…it’s crazy how simple and sensical that is
Thanks a lot! Glad to hear that you've enjoyed the episode :)
What humble person for all knowledge he has
Yes Christoph is super inspiring! Definitely a lot to learn from him :)
Thank you for you efforts
What brilliant men both of you are! I'm truly grateful for the podcast :)
Thanks so much! Very happy to hear that you’ve enjoyed the conversation :)
Thank you all for all the knowledge and insights
Thanks a lot to you, very happy to hear that you learned from our conversation with Christof
What an incredibly insightful podcast, especially for beginners like myself! It was not only fantastic but also rich with valuable knowledge. Loved every bit of it. Keep up the outstanding work, Neil!
Thanks so much for the positive feedback. So happy to hear that you enjoyed our conversation. Let me know if there are any other topics that you would be interested to see on the podcast :)
Very interesting talk. Thank you for the content.
Thanks a lot :) Happy to hear that you’ve enjoyed the episode
This channel is a gem!
Thank you for this content
Thanks a lot Ahmed! Very happy to hear that you’re enjoying AI stories :)
Such a great guest! Very interesting podcast
Thanks a lot Phil :)
Great podcast! First time watching, such nice personalities you both have!
Was very interesting and entertaining for me, as I am a data science and machine learning student.
Keep up the good work!
Thanks a lot for this. Very happy to hear that you enjoyed our conversation :) Any other topics that you would like me to cover in future episodes?
Thanks for sharing ❤
Our pleasure! Glad to hear that your enjoyed the episode :)
Thanks for the podcast. As a beginner, I take away some very good advice. I have a question: What do i need for an entry-level job in ML/DL field?
Getting a degree is the safest way.
Thanks for your message and glad to hear that you enjoyed the podcast.
The skills that you need for an entry level job strongly depend on the job but I will highlight two things:
1. Coding skills, I would recommend to learn Python.
2. Machine learning skills. I would recommend you to take an intro to ML course and then do a project by yourself to practice the theory.
Does this help?
And yes I agree that getting a degree in Data science / machine learning is strongly recommended as the field is becoming more and more competitive.
@@aistoriespodcast thanks
Am also doing civil engineering, currently in my final year and too deep into AI/ML 🤗
That's amazing! Good luck with your AI/ML journey then 😊
thanks for this
Glad to hear that you enjoyed the conversation :)
how to reduce noise in data?
Jurgen Klopp becoming Number One on Kaggle after retiring from Football manager carrer.
Nice 👺👍🏿