Overview
- Covers multiple paradigms including on-premise, in the cloud, and hybrid
- Contains concise, hands-on, enterprise ready machine learning recipes for the uninitiated
- Comprises both deep learning and machine learning, with examples using TensorFlow and CNTK
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Along with an overview of the contemporary technology landscape, Machine Learning and Deep Learning with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants, computer vision, text analytics, speech, and robotics process automation this book offers a comprehensive toolkit that you can apply quickly and easily in your own projects. With its focus on Microsoft Cognitive Services offerings, you’ll see recipes using multiple different environments including TensowFlow and CNTK to give you a broader perspective of the deep learning ecosystem.
What You Will Learn
- Build production-ready solutions using Microsoft Cognitive Services APIs
- Apply deep learning using TensorFlow and Microsoft Cognitive Toolkit (CNTK)
- Solve enterprise problems in natural language processing and computer vision
- Discover the machine learning development life cycle – from formal problem definition to deployment at scale
Who This Book Is For
Software engineers and enterprise architects who wish to understand machine learning and deep learning by building applications and solving real-world business problems.
Authors and Affiliations
About the authors
Author of Amazon bestseller in programming languages, Functional Programming with F#, Dr. Masood teaches data science at Park University, and has taught Windows Communication Foundation (WCF) courses at the University of California, San Diego. He is a regular speaker to various academic and technology conferences (WICT, DevIntersection, IEEE-HST, IASA, and DevConnections), local code camps, and user groups. He also volunteers as STEM (Science Technology, Engineering and Math) robotics coach for elementary and middle school students.
Adnan Hashmi has 20 years’experience in the technology industry working with a host of clients in healthcare, finance, construction, and consulting. He currently works at Microsoft data and AI space, engaging with financial services clients. He holds a Master’s degree in software engineering from the Shaheed Zulfikar Ali Bhutto Institute of Science & Technology (SZABIST), Karachi, Pakistan, and is passionate about machine learning, music, and education.
Bibliographic Information
Book Title: Cognitive Computing Recipes
Book Subtitle: Artificial Intelligence Solutions Using Microsoft Cognitive Services and TensorFlow
Authors: Adnan Masood, Adnan Hashmi
DOI: https://doi.org/10.1007/978-1-4842-4106-6
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Adnan Masood, Adnan Hashmi 2019
Softcover ISBN: 978-1-4842-4105-9Published: 28 March 2019
eBook ISBN: 978-1-4842-4106-6Published: 27 March 2019
Edition Number: 1
Number of Pages: XXVI, 417
Number of Illustrations: 350 b/w illustrations
Topics: Artificial Intelligence, Microsoft and .NET, Open Source