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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.
Machine learning doesn't have to feel abstract or overwhelming. Learning Machines with Python is a clear, hands-on guide designed to help you understand core machine learning concepts by building and experimenting with real Python examples.
Starting from the fundamentals, this book breaks down complex ideas-such as data preparation, model training, evaluation, and improvement-into simple, manageable steps. Each chapter focuses on practical implementation, showing you not just what machine learning is, but how it works in real-world scenarios.
Whether you're a beginner exploring machine learning for the first time or a developer looking to strengthen your foundation, Learning Machines with Python bridges the gap between theory and practice. By the end, you'll have the confidence to apply machine learning techniques using Python and build intelligent solutions that solve meaningful problems.
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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.
Machine learning doesn't have to feel abstract or overwhelming. Learning Machines with Python is a clear, hands-on guide designed to help you understand core machine learning concepts by building and experimenting with real Python examples.
Starting from the fundamentals, this book breaks down complex ideas-such as data preparation, model training, evaluation, and improvement-into simple, manageable steps. Each chapter focuses on practical implementation, showing you not just what machine learning is, but how it works in real-world scenarios.
Whether you're a beginner exploring machine learning for the first time or a developer looking to strengthen your foundation, Learning Machines with Python bridges the gap between theory and practice. By the end, you'll have the confidence to apply machine learning techniques using Python and build intelligent solutions that solve meaningful problems.