Artificial Intelligence Algorithms

By akosnemeth

Unlock the mysteries of Artificial Intelligence Algorithms with our comprehensive eBook, "Decoding Intelligence." Dive into the heart of AI and unravel the intricate workings of algorithms that power intelligent machines.

Designed for both novices and seasoned enthusiasts, this eBook serves as your roadmap to understanding the fundamental algorithms driving AI innovation. From classic techniques to cutting-edge advancements, embark on a journey that demystifies complex concepts and equips you with the knowledge needed to harness the power of AI algorithms effectively.

• Language: English
• Publisher: akosnemeth
• Release date: Feb 20, 2024
• ISBN: 9798224376704

Book preview

Chapter 1: Fundamentals of Machine Learning

The fundamental building block of artificial intelligence is machine learning, enabling systems to learn and evolve from data without being explicitly programmed. This chapter focuses on understanding the basics of machine learning and explores how it is applied to solve various problems.

1.1 Definition of Machine Learning

Machine learning is a field within artificial intelligence that examines how machines can learn without being explicitly programmed. Algorithms can recognize patterns in data and improve their performance through experiences.

1.2 Supervised Learning

Supervised learning is a machine learning method where the model learns on labeled data. The algorithm has access to data and their corresponding labels for learning, with the goal of making predictions on new, unseen data.

1.3 Unsupervised Learning

In unsupervised learning, the model lacks labeled data for learning. The algorithm's task is to explore patterns and structures in the data, such as determining groups or clusters.

1.4 Basics of Deep Learning

Deep learning is a specialized machine learning approach based on deep neural networks. This chapter introduces the fundamentals of deep learning, including the basic principles of artificial neural networks, convolutional networks, and recurrent networks.

The aim of this chapter is to provide a solid foundation for understanding machine learning and prepare the reader for the following chapters, which will delve into various artificial intelligence algorithms.

Definition of Machine Learning

Machine learning is a subfield of artificial intelligence that focuses on enabling computers to learn from data and experiences without being explicitly