IBM Watson Projects: Eight exciting projects that put artificial intelligence into practice for optimal business performance

James D. Miller

Sep 2018 · Packt Publishing Ltd

Ebook

340

Pages

Tools

About this ebook

Incorporate intelligence to your data-driven business insights and high accuracy business solutionsKey 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 DescriptionIBM 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.

Incorporate intelligence to your data-driven business insights and high accuracy business solutionsKey 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 forecastin...

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About the author

James D. Miller is an IBM certified expert, Master Consultant, Application/System Architect with +35 years of applications & system design/development experience across multiple platforms, technologies and data formats, including Big Data. His experience includes IBM Planning Analytics, BI, Web architecture & design, systems analysis, GUI design & testing, Data modeling, design, and development of OLAP, Client/Server, Web & Mainframe applications and systems utilizing: Planning Analytics Workspace (PAW), IBM Watson Analytics, Cognos BI & TM1, Framework Manager, dynaSight/ArcPlan, ASP, DHTML, XML, MS Visual Basic, VBA, PERL, R, SPLUNK, MS SQL Server, ORACLE, etc. He has authored numerous books, including Implementing Splunk - Second Edition; Mastering Splunk; Hands-On Machine Learning with IBM Watson; IBM Watson Projects; Statistics for Data Science; Mastering Predictive Analytics with R - Second Edition and others. Project areas include those with Data Analytics, Planning Analytics, and FOPM projects, holding various roles from architect, developer, technical and project leader.

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