Python for Programmers with introductory Al case studies

Python for Programmers with introductory Al case studies Paul J. Deitel, Harvey M. Deitel
Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python—one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details.In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notbooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® Watson™, 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®, Spark™ and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google Translate™, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more.Features500+ hands-on, real-world, live-code examples from snippets to case studiesIPython + code in Jupyter® NotbooksLibrary-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal codeRich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptionsProcedural, functional-style and object-oriented programmingCollections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFramesSta… Categories:
Computers – Artificial Intelligence (AI)
Year:
2019
Language:
english
Pages:
640
ISBN 10:
0135231361
ISBN 13:
9780135231364
File:
132 MB