The professional programmers Deitel guide to Python with introductory artificial intelligence case studies Written for programmers with a background in another highlevel language, Python for Programmers uses handson instruction to teach todays most compelling, leadingedge computing technologies and programming in Pythonone of the worlds most popular and fastestgrowing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, realworld examples ranging from individual snippets to 40 large scripts and full implementation case studies, youll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 15 and a few key parts of Chapters 67, youll be able to handle significant portions of the handson introductory AI case studies in Chapters 1116, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter for sentiment analysis, cognitive computing with IBM WatsonTM, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop, SparkTM and NoSQL databases, the Internet of Things and more. Youll also work directly or indirectly with cloudbased services, including...

Binding: Paperback;640 pages; Publisher: Pearson Education (US); Classification: UMW; Weight: 1116 g; Dimensions: 181 x 233 x 29

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