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Introduction to Artificial Intelligence: Build Your First AI Model with Python: A Step-by-Step Guide to Getting Started with AI and Machine Learning - Tapa blanda
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Introduction to Artificial Intelligence: Build Your First AI Model with Python is the perfect guide to getting started with AI and machine learning using Python. Whether you’re new to AI or want to enhance your skills, this step-by-step guide will walk you through the basics of artificial intelligence and how to build your first AI model.
You’ll learn about the foundational concepts of AI, including supervised and unsupervised learning, neural networks, and model evaluation, using Python’s powerful libraries like scikit-learn and TensorFlow. By the end of the book, you will be equipped to build, train, and evaluate your own AI models, laying the groundwork for advanced AI applications.
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Introduction to Artificial Intelligence: Build Your First AI Model with Python: A Step-by-Step Guide to Getting Started with AI and Machine Learning
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Introduction to Artificial Intelligence: Build Your First AI Model with Python: A Step-by-Step Guide to Getting Started with AI and Machine Learning
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Introduction to Artificial Intelligence (Paperback)
Librería: CitiRetail, Stevenage, Reino Unido
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Paperback. Condición: new. Paperback. Introduction to Artificial Intelligence: Build Your First AI Model with Python is the perfect guide to getting started with AI and machine learning using Python. Whether you're new to AI or want to enhance your skills, this step-by-step guide will walk you through the basics of artificial intelligence and how to build your first AI model.You'll learn about the foundational concepts of AI, including supervised and unsupervised learning, neural networks, and model evaluation, using Python's powerful libraries like scikit-learn and TensorFlow. By the end of the book, you will be equipped to build, train, and evaluate your own AI models, laying the groundwork for advanced AI applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798280119673
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