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.
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.
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