Top 3 challenges for machine learning in industry

[@HimanshuS-YT]

MANNNN!!!💐💐💐 I came running from Reddit!! Your visualisations are AWESOME! (I am going to copy paste this comment on all of your videos!!) Please post more videos! THEY'RE A SERVICE TO HUMANITY!😅

[@lh24-g7l]

1. Lack of training data (especially, data with labels) -> Transfer learning -> Self-supervised learning (e.g., autoencoder, language modeling) 2. Discrepancies between Training and Test data Eg: due to geographical/seasonal/user behavior differences 3. Model Scalability (Run fast enough for ubiquitous deployment) -> Post-training quantization

[@ramantejavenigalla611]

I sincerely appreciate the amount of effort being put into making these videos. Thank you for the awesome content.

[@IntuitiveMachineLearning]

Thanks for your support!

[@AbhinavSharma267]

Nice viz! Waiting for more uploads :)

[@IntuitiveMachineLearning]

Thanks!

[@jackge7591]

I find it very useful to know these practical challenges. Good Work!

[@IntuitiveMachineLearning]

Thanks!

[@NYCSk8tr1]

Love your stuff man, came over from reddit. Awesome videos

[@IntuitiveMachineLearning]

thanks very much!

[@randomness13246]

Loved the explanation and clear graphics!

[@IntuitiveMachineLearning]

thanks!

[@hope4ul]

I immediately came from instagram!!! Love your illustrations and explanations!! -plantlines

[@IntuitiveMachineLearning]

Thanks!

[@pranavthakkar6687]

Really appreciate. How long it takes to produce this type of illustration? Magnificent graphic design.

[@IntuitiveMachineLearning]

Thanks. It takes at least one week for this type of video for me.

[@peterdr2727]

very important topic in machine learning in industry!

[@IntuitiveMachineLearning]

Thanks!

[@snigdhakhatri9414]

Great Content 👍🏻👍🏻👍🏻

[@IntuitiveMachineLearning]

Thanks!

[@aks2045]

Good Work 👍

[@IntuitiveMachineLearning]

Thanks ✌️