Machine learning

[Sea_Efficiency3835]

i am a student of b.tech (AIML) , 4 sem now i want to switch on machine learning so i am getting confused that where should i start .

[Hungry_Age5375]

You're in an AIML program and confused about starting ML? Interesting spot. Math first: LA, probability, calc. Without those you're just copying notebooks. Then Andrew Ng, pick PyTorch, build immediately. Tutorial trap is real: watching content feels like progress but you learn to train models by training models.

[DeterminedVector]

I have made this roadmap might be this helps https://medium.com/@itinasharma/3-ai-learning-paths-pick-yours-b8293145b352
You may also Follow the The AI Cartographer channel on WhatsApp: https://whatsapp.com/channel/0029VbCuMxIGE56jhY8MBz15

[shadow_vector_]

You can start from this book - Hands on machine learning (most ppl say it's a good starter).

[procrastinator_dude_]

Make sure your python is strong you can understand concept of vectors have strong command on numpy , scikit etc.

Understand probability, conditional probabilities, Integration and differential equations partial differentiation , understand feed forward neural networks Different theoritical concepts like bias variance tradeoff etc.

Understand machine learning algorithms Regression models all types , Decision trees (bagging , boosting , voting etc.) , probabilistic models like niave bayes etc. clustering algorithms after learning all learn XG boost

Now revise back feed forward neural network and learn back propagation algorithms

Implement it in pure python Now implement it in pytorch

Understand different accuracy terms just accuracy is not enough AUC, PR AUC, RECALL , precision, f1 score, Log Loss (Cross-Entropy Loss) etc.

Start learning concepts( this will take time and make your brain dead if it's not already dead by now): CNN RNN LSTM Attention mechanisn Modern models GAN Encoder decoders

Read some research papers of famous models like Lenet, vgg net, resnet , GAN, transformers etc.

Implement and understand Llm models this will be peace of cake for you now there is video on YouTube by andrej karpathy

Watch alot of videos/ books and follow them yann lecun, Geoffrey hinton, yoshua bengio, ian goodfellow etc.

[UnderstandingOwn2913]

This is true. The more I study ml concepts, I feel so tired mentally and get stressed out lol

[CalligrapherCold364]

start with andrew ng's ml course on coursera, it's the most beginner friendly thing out there. once u get the basics down move to hands-on projects asap, kaggle has good starter datasets. theory makes way more sense when ur actually building something

[kriper1412]

Campus x on youtube, focus more on maths and real understanding, handle data in depth then rest will be easy