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Machine Learning with Python: Build Your First AI Model: A Step-by-Step Guide to Using Python for Machine Learning Projects - Softcover
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Machine Learning with Python: Build Your First AI Model is your comprehensive, step-by-step guide to getting started with machine learning using Python. Whether you're new to machine learning or already familiar with Python, this book will teach you the fundamentals of machine learning and how to build your first AI model.
With Python's powerful libraries like scikit-learn, TensorFlow, and Keras, you’ll learn how to apply machine learning techniques to real-world projects, from data preprocessing and model training to evaluation and deployment. This guide covers both supervised and unsupervised learning, enabling you to tackle a wide variety of machine learning problems.
By the end of the book, you will have the skills to build, train, and evaluate machine learning models, laying a solid foundation for future AI development.
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Machine Learning with Python: Build Your First AI Model: A Step-by-Step Guide to Using Python for Machine Learning Projects
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Machine Learning with Python (Paperback)
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Paperback. Zustand: new. Paperback. Machine Learning with Python: Build Your First AI Model is your comprehensive, step-by-step guide to getting started with machine learning using Python. Whether you're new to machine learning or already familiar with Python, this book will teach you the fundamentals of machine learning and how to build your first AI model.With Python's powerful libraries like scikit-learn, TensorFlow, and Keras, you'll learn how to apply machine learning techniques to real-world projects, from data preprocessing and model training to evaluation and deployment. This guide covers both supervised and unsupervised learning, enabling you to tackle a wide variety of machine learning problems.By the end of the book, you will have the skills to build, train, and evaluate machine learning models, laying a solid foundation for future AI development. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798319456090
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