December 2024
Intermediate to advanced
336 pages
10h 29m
English
This chapter looks at the evolutionary journey of artificial intelligence (AI) and machine learning (ML) into AI agents, charting its progress from the early days to the advanced stages of deep learning. This exploration includes a detailed study of significant methodologies such as reinforcement learning, Q-learning, and the innovative concept of neural Turing machines (NTMs). Through this chapter, you will achieve the following objectives
Trace AI’s Historical Progression: Understand the evolution of artificial intelligence, beginning with its early concepts and leading up to the sophisticated algorithms that define the field today.
Comprehend the Transition from ...
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