Applying artificial intelligence to Amazon's real-time sales, production, and delivery forces projects into reality.
Learning machine learning and deep learning with MNIST, CIFAR, and other ready-to-use datasets with ready-to-use programs is a prerequisite to mastering artificial intelligence. Learning mathematics is a must.
Building a few programs that can do various theoretical things cannot be avoided. But managing a real project under corporate pressure will bring an AI expert up to another level. The constraints of corporate specifications make machine learning projects exciting. During those projects, experts learn valuable information on how AI solutions work and can be improved.
This chapter described a DQN-CRLMM-CNN model with an optimizer and an MDP function. The next chapter explores an application of this solution with an SVM applied to a self-driving...