In r learnmachinelearning and others, learners are pushing back on jumping straight into PyTorch and deep learning, arguing that classical ML and data fundamentals reduce tutorial hell and improve real understanding.
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
Close the Neural Network tutorials.
I was stuck in tutorial hell because I didn't fully understand hyperparameters or how to manipulate and look through data.
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