I am trying to make a project for my college inserting elements of AI in it. But I want to know enough about concepts/formulae behind libraries, functions of ML/DL. I have found Statistical Learning to be too vast for me. Yet, I cannot seem to grasp the concept behind choice of libraries, functions and layers in model creation.
What am I missing? How do I approach this problem? I am trying to recreate certain functions and models from scratch with numpy but I fail in it. Any advices or suggestions for me? I have about 7-10 days where I can give more than 12 hours everyday for this. How should I approach this problem?
_RootUser_ t1_izemqro wrote
Reply to [D] Simple Questions Thread by AutoModerator
I am trying to make a project for my college inserting elements of AI in it. But I want to know enough about concepts/formulae behind libraries, functions of ML/DL. I have found Statistical Learning to be too vast for me. Yet, I cannot seem to grasp the concept behind choice of libraries, functions and layers in model creation.
What am I missing? How do I approach this problem? I am trying to recreate certain functions and models from scratch with numpy but I fail in it. Any advices or suggestions for me? I have about 7-10 days where I can give more than 12 hours everyday for this. How should I approach this problem?