[2/2] Grokking Artificial Intelligence Algorithms (Growing algorithms of artificial intelligence) (AI column)

Ending parsing A simple and understandable book describing artificial intelligence algorithms.

7. Swarm intelligence: particles The chapter is devoted to the swarm algorithm of particles - another method of swarm intelligence. The author explains how particles (algorithmic agents) They move through the search space, adjusting their speed based on their personal experience and the experience of the entire swarm. We consider how this algorithm finds optimal solutions by simulating social behavior, for example, bird flocks or fish schools. The author talks about birds and murmuration 8. Machine learning In this chapter, the author introduces the basics of machine learning: learning with a teacher, learning without a teacher and with reinforcement. (More about it in the last chapter.). The tasks that machine learning solves are explained: regression, classification, clustering, forecasting and others. The author shows how machine learning is used in various industries. 9. Artificial neural networks The author explains the architecture of neural networks: the input layer, the hidden layers and the output layer, as well as how data is transmitted between them. Various types of neural networks, including direct propagation networks, are considered, and how they are trained by an error backpropagation algorithm is explained. 10. Reinforcement training with Q-learning In the final chapter, the author discusses Q-learning, a reinforcement learning method where the agent learns to choose the best action based on the reward received. It explains how an agent forms a utility function Q that helps it make decisions based on previous experience. The Q-learning algorithm and its application for solving problems that can be represented as Markov decision-making process are considered.

In the end, I can say that the book is good for an initial acquaintance with AI, but if you are already in the topic, then it seems too simple:)

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