IBM Watson projects : eight exciting projects that put artificial intelligence into practice for optimal business performance
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English
ISBN
9781789346695, 178934669X
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Description
Incorporate intelligence to your data-driven business insights and high accuracy business solutions Key Features Explore IBM Watson capabilities such as Natural Language Processing (NLP) and machine learning Build projects to adopt IBM Watson across retail, banking, and healthcare Learn forecasting, anomaly detection, and pattern recognition with ML techniques Book Description IBM Watson provides fast, intelligent insight in ways that the human brain simply can't match. Through eight varied projects, this book will help you explore the computing and analytical capabilities of IBM Watson. The book begins by refreshing your knowledge of IBM Watson's basic data preparation capabilities, such as adding and exploring data to prepare it for being applied to models. The projects covered in this book can be developed for different industries, including banking, healthcare, media, and security. These projects will enable you to develop an AI mindset and guide you in developing smart data-driven projects, including automating supply chains, analyzing sentiment in social media datasets, and developing personalized recommendations. By the end of this book, you'll have learned how to develop solutions for process automation, and you'll be able to make better data-driven decisions to deliver an excellent customer experience. What you will learn Build a smart dialog system with cognitive assistance solutions Design a text categorization model and perform sentiment analysis on social media datasets Develop a pattern recognition application and identify data irregularities smartly Analyze trip logs from a driving services company to determine profit Provide insights into an organization's supply chain data and processes Create personalized recommendations for retail chains and outlets Test forecasting effectiveness for better sales prediction strategies Who this book is for This book is for data scientists, AI engineers, NLP engineers, machine learning engineers, and data analysts who wish to build next-generation analytics applications. Basic familiarity with cognitive computing and sound knowledge of any programming language is all you need to understand the projects covered in this book.
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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Miller, J. (2018). IBM Watson projects: eight exciting projects that put artificial intelligence into practice for optimal business performance . Packt Publishing.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Miller, James. 2018. IBM Watson Projects: Eight Exciting Projects That Put Artificial Intelligence Into Practice for Optimal Business Performance. Packt Publishing.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Miller, James. IBM Watson Projects: Eight Exciting Projects That Put Artificial Intelligence Into Practice for Optimal Business Performance Packt Publishing, 2018.
MLA Citation, 9th Edition (style guide)Miller, James. IBM Watson Projects: Eight Exciting Projects That Put Artificial Intelligence Into Practice for Optimal Business Performance Packt Publishing, 2018.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
c79de136-2566-e22b-2576-fc21a37b8b18-eng
Grouping Information
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Full title | ibm watson projects eight exciting projects that put artificial intelligence into practice for optimal business performance |
Author | miller james |
Grouping Category | book |
Last Update | 2024-10-08 10:55:34AM |
Last Indexed | 2024-12-03 03:29:42AM |
Book Cover Information
Image Source | contentCafe |
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First Loaded | Mar 21, 2023 |
Last Used | Dec 11, 2024 |
Marc Record
First Detected | Mar 21, 2023 11:50:44 AM |
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Last File Modification Time | Mar 21, 2023 11:50:44 AM |
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