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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book delves into the fascinating world of machine learning, exploring how algorithms are enabling machines to mimic human thought processes and capabilities. Neural Networks: The book introduces the concept of neural networks, computational models inspired by the human brain. These networks consist of interconnected nodes, or neurons, that process information in layers. Deep Learning: Deep learning, a subset of machine learning, involves training neural networks with multiple layers. This allows machines to learn complex representations of data, enabling them to excel in tasks such as image recognition, natural language processing, and speech synthesis. Reinforcement Learning: Reinforcement learning focuses on teaching machines to make decisions through trial and error.Ethical Considerations: As AI becomes increasingly sophisticated, the book also addresses the ethical implications of its development.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book delves into the fascinating world of machine learning, exploring how algorithms are enabling machines to mimic human thought processes and capabilities. Neural Networks: The book introduces the concept of neural networks, computational models inspired by the human brain. These networks consist of interconnected nodes, or neurons, that process information in layers. Deep Learning: Deep learning, a subset of machine learning, involves training neural networks with multiple layers. This allows machines to learn complex representations of data, enabling them to excel in tasks such as image recognition, natural language processing, and speech synthesis. Reinforcement Learning: Reinforcement learning focuses on teaching machines to make decisions through trial and error.Ethical Considerations: As AI becomes increasingly sophisticated, the book also addresses the ethical implications of its development.