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IBM Watson Projects - James Miller

IBM Watson Projects

Eight exciting projects that put artificial intelligence into practice for optimal business performance

(Autor)

Buch | Softcover
340 Seiten
2018
Packt Publishing Limited (Verlag)
9781789343717 (ISBN)
CHF 62,80 inkl. MwSt
IBM Watson Projects demonstrate projects focused on cognitive computing & analytical capabilities of IBM Watson. You will explore designing smart business solutions and understand the effectiveness of a supply chain using projects including healthcare dialog system, sentimental analysis on social media, personalized recommendation systems and more.
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 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 forThis 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.

James Miller is an innovator and accomplished Sr. Project Lead and Solution Architect with 37 years experience. of extensive design and development across multiple platforms and technologies. Roles include leveraging his consulting experience to provide hands-on leadership in all phases of advanced analytics and related technology projects, providing recommendations for process improvement, report accuracy, adoption of disruptive technologies, enablement, and insight identification. Author: Statistics for Data Science, Mastering Predictive Analytics w/R, Big Data Visualization, Learning Watson Analytics, Implementing Splunk, Mastering Splunk, 5 Guiding Principles of a Successful Center of Excellence, and TM1 Developer's Certification Guide.

Table of Contents

The Essentials of IBM Watson
A Basic Watson Project
An Automated Supply Chain Scenario
Healthcare Dialoguing
Social Media Sentiment Analysis
Pattern Recognition and Classification
Retail and Personalized Recommendations
Integration for Sales Forecasting
Anomaly Detection in Banking Using AI
What's Next

Erscheinungsdatum
Verlagsort Birmingham
Sprache englisch
Maße 75 x 93 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-13 9781789343717 / 9781789343717
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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