Across r/learnmachinelearning and r/deeplearning, learners and mentors push a fundamentals-first path using scikit-learn, math refreshers, and reference books, arguing it breaks tutorial hell and improves understanding of deep learning later.
Unpopular opinion for beginners: Stop starting with Deep Learning.
Open Scikit-Learn.
90% of real-world business problems are solved with clean data and a well-tu
I was stuck in tutorial hell because I didn't fully understand hyperparameters
It makes sense to focus on scikit-Learn
I started with messing around with reinforcement learning (Using Unity) and neural networks (Pytorch/Unity), it was fun but for neural networks I was stuck in tutorial hell
I've been working through the Hands On with Machine Learning book and I understand soooo much more now
Mathematics for Machine Learning by Marc Deisenroth. I’m a big believer in fundamentals
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