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Completely updated to Python 3 for the latest AI tools and libraries
Seven new chapters on AI on the cloud, recurrent neural networks, deep learning models, and chatbots for advanced learning
Step-by-step guidance for building intelligent apps and real-world applications
Covers machine learning pipelines, feature selection, and data engineering fundamentals
Explains both supervised and unsupervised learning techniques
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Report copyright infringement by Alberto Artasanchez (Author), Prateek Joshi (Author)
New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key Features: