Description
In Machine Learning: The New AI: The MIT Press Essential Knowledge, distinguished professor of computer engineering Atom Alpaydin presents a comprehensive and concise overview of machine learning. Machine learning underpins the services we use every day, from online shopping recommendation systems to facial recognition and self-driving car technology. The book introduces a new approach to computing in which, instead of writing traditional programs, data is collected and computers learn how to solve problems.
With the increase in the volume of “Big Data”, machine learning theories have also taken great strides forward, and the author outlines their evolution well in this work. This new and expanded edition goes beyond technical topics and addresses contemporary challenges in this field, such as privacy, data security, algorithmic bias, and the responsiveness of intelligent systems. Alpaydin, drawing on his expertise, clearly explains the concepts of neural networks, associative learning, and reinforcement learning to the audience.
Book Features
- A comprehensive look at the concept of shifting the traditional programming paradigm towards data-driven systems.
- Explain important machine learning algorithms such as Pattern Recognition and Reinforcement Learning.
- Added new dedicated chapters on transparency, interpretability, and fairness in algorithmic decision-making.
- Examining the legal, ethical, and security-related challenges and bias in artificial intelligence.
- Suitable for professionals, entrepreneurs and all those who want to understand the scientific structure of intelligent systems.
Book specifications
- Publisher: The MIT Press
- Instructor/Author: Ethem Alpaydin
- Number of pages: 282
- Number of chapters: 8
- Format: PDF
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User Guide
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Download link
File(s) password: www.downloadly.ir
File size
1.6 MB
