Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science, machine ...

Reinforcement learning (RL) is a branch of machine learning that addresses problems where there is no explicit training data. Q-learning is an algorithm that can be used to solve some types of RL ...

This book may be of interest to Gadget Masters getting serious with the use of AI and looking to develop their own learning model. It's called Practical Deep Learning. Or Practical Deep Learning (2nd ...