LEADER 00000cam a2200409Ma 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cn||||||||| 
008    140220s2020    xx     go     000 0 eng d 
020    183921953X|q(paperback) 
020    9781839219535|q(paperback) 
029 1  AU@|b000071520040 
035    (OCoLC)1235778932 
040    TOH|beng|cTOH|dOCLCO|dOCLCQ 
049    INap 
099    eBook O'Reilly for Public Libraries 
100 1  Artasanchez, Alberto,|eauthor. 
245 10 Artificial Intelligence with Python - Second Edition /
       |cArtasanchez, Alberto.|h[O'Reilly electronic resource] 
250    2nd edition. 
264  1 |bPackt Publishing,|c2020. 
300    1 online resource (618 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
365    |b49.99 
520    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 
       Completely updated and revised to Python 3.x New chapters 
       for AI on the cloud, recurrent neural networks, deep 
       learning models, and feature selection and engineering 
       Learn more about deep learning algorithms, machine 
       learning data pipelines, and chatbots Book Description 
       Artificial Intelligence with Python, Second Edition is an 
       updated and expanded version of the bestselling guide to 
       artificial intelligence using the latest version of Python
       3.x. Not only does it provide you an introduction to 
       artificial intelligence, this new edition goes further by 
       giving you the tools you need to explore the amazing world
       of intelligent apps and create your own applications. This
       edition also includes seven new chapters on more advanced 
       concepts of Artificial Intelligence, including fundamental
       use cases of AI; machine learning data pipelines; feature 
       selection and feature engineering; AI on the cloud; the 
       basics of chatbots; RNNs and DL models; and AI and Big 
       Data. Finally, this new edition explores various real-
       world scenarios and teaches you how to apply relevant AI 
       algorithms to a wide swath of problems, starting with the 
       most basic AI concepts and progressively building from 
       there to solve more difficult challenges so that by the 
       end, you will have gained a solid understanding of, and 
       when best to use, these many artificial intelligence 
       techniques. What you will learn Understand what artificial
       intelligence, machine learning, and data science are 
       Explore the most common artificial intelligence use cases 
       Learn how to build a machine learning pipeline Assimilate 
       the basics of feature selection and feature engineering 
       Identify the differences between supervised and 
       unsupervised learning Discover the most recent advances 
       and tools offered for AI development in the cloud Develop 
       automatic speech recognition systems and chatbots Apply AI
       algorithms to time series data Who this book is for The 
       intended audience for this book is Python developers who 
       want to build real-world Artificial Intelligence 
       applications. Basic Python programming experience and 
       awareness of machine learning concepts and techniques is 
       mandatory. 
542    |fCopyright © 2020 Packt Publishing|g2020 
550    Made available through: Safari, an O'Reilly Media Company.
588 0  Online resource; Title from title page (viewed January 31,
       2020). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
700 1  Joshi, Prateek,|eauthor. 
710 2  O'Reilly for Higher Education (Firm),|edistributor. 
710 2  Safari, an O'Reilly Media Company. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781839219535/?ar
       |aAvailable on O'Reilly for Public Libraries 
994    92|bJFN