Dhruv

🚀 The one-stop resource for learning AI/ML !!! If you’re starting out or want to stay updated, I’ve got you covered. 🔍 Learning paths 📚 Courses & books 👥 People to follow 🌐 Communities This is going to be a mega thread series 🔽

300 👀...Sweet!

Thank you all for 200 followers🙏🏻🎉 Never imagined I will reach this milestone,it means a lot to me. I'm really grateful to each for supporting me,believing in me and helping me stay consistent. I'll will continue sharing more valuable posts to make this journey worth your time.

GM 🌞

Chat, did I do a good job?

I'm taking break from studying today 😞 I had some issue with electricity at my home and it's raining outside so don't feel like studying.

GM!! 🌞

Log Day 20 : > Started doing 'Intro to Deep Learning' course available on Kaggle > Started writing a personal blog, which I will share soon enough (If I don't procrastinate) > Relaxed a bit and spent some time with family

Log Day 19 : > Read about ANN and implemented basic Image Classifier MLP on Fashion-MNIST dataset from Hands on ML > Completed 'Intro to Machine Learning' Course from @kaggle > Started watching 'Neural Networks from Scratch' taught by @Sentdex

We just touched 500, at a loss of words tbh.

Log Day 18: > Done with the Clustering, will be starting Neural networks. Question - How should I learn Neural networks, like watch video on Torch or TF first? Practice on datasets from kaggle while reading book or just focus on building core concepts for now?

Thank you everyone 🙏🏻 Not able to comprehend the fact that I gained 100 followers in less than 12 hours and made it to 400 followers the same day.

Log Day 16 : > Studied K-means clustering from Hands on ML, yet to study DBSCAN method. > Talked to this amazing guy @Hidden_Neuron_ for around 1:5 hours. I already feel like he’s become a mentor of mine. > Shared some resources with folks so they can start their own journey.

organized all the books you'll ever need for AI , ML , GenAI , LLMs , GANs in one place. the only resource you'll ever need (check comments for link)

Grind Day 15 : > Finished reading 'Understanding Foundation Models' from AI Engineering > Watched 'Intro to Deep Learning' from MIT 6S.191 taught by @xanamini - Was busy reading AI Engineering so couldn't study Unsupervised Learning from Hands on ML :(

You are not late. You are learning during one of the most exciting times in the history of Computer Science.

Grind Day 13: > Read first chapter of AI Engineering, very much impressed with the first chapter. Highly recommend everyone to give it a read (P.S : Thanks @ninzo121) > Done making ppt and report :) - Though couldn't study ML today :(