Description
Book Synopsis: A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars.Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition--as well as some we don't yet use everyday, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of "the new AI." This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpaydin, author of a popular textbook on machine learning, explains that as "Big Data" has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.
Details
Discover the power of machine learning with the revised and updated edition of "Machine Learning" from The MIT Press Essential Knowledge series. This concise overview takes you on a journey into the world of computer programs that learn from data, enabling groundbreaking applications such as voice recognition and driverless cars. Unleash the potential of artificial intelligence and gain a competitive edge in today's fast-paced digital landscape.
Machine learning is at the heart of the technologies we engage with daily, shaping our experiences through personalized product recommendations and seamless voice recognition. But its reach extends beyond our everyday interactions. Imagine the possibilities of driverless cars revolutionizing transportation systems, harnessing the power of machine learning to navigate our roads with unparalleled safety and efficiency.
Written by Ethem Alpaydin, a renowned expert in the field, this expanded edition delves into the forefront of machine learning challenges, including privacy, security, accountability, and bias. As "Big Data" continues to grow exponentially, the need for robust machine learning principles becomes even more crucial. This book equips you with the knowledge to navigate these challenges and harness the vast potential of machine learning.
Gain insights into the evolution of machine learning as it seamlessly integrates with the theory of artificial intelligence. Alpaydin demystifies complex learning algorithms, providing clear explanations and real-world examples that illustrate their power. Explore pattern recognition, artificial neural networks, associative learning algorithms, and reinforcement learning – all essential tools for transforming data into actionable knowledge.
Furthermore, this updated edition ventures into the realm of transparency and fairness, addressing pivotal ethical and legal implications. Understand how decisions based on data must be transparent, explainable, and fair, ensuring accountability and preventing algorithmic biases from adversely impacting society.
Are you ready to unleash the potential of machine learning? Take your first step towards mastering this cutting-edge field with "Machine Learning," available now.
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