Subhashini Tripuraneni - Hands-On Artificial Intelligence on Amazon Web Services: Decrease the time to market for AI and ML applications with the power of AWS

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Subhashini Tripuraneni has several years of experience leading AI initiatives in financial services and convenience retail. She has automated multiple business processes and helped to create a proactive competitive advantage for businesses via AI. She is also a seasoned data scientist, with hands-on experience building machine learning and deep learning models in a public cloud. She holds an MBA from Wharton Business School, with a specialization in business analytics, marketing and operations, and entrepreneurial management. In her spare time, she enjoys going to theme parks and spending time with her children. She currently lives in Dallas, TX, with her husband and children.

Charles Song is a solutions architect with a background in applied software engineering research. He is skilled in software development, architecture design, and machine learning, with a proven ability to utilize emerging technologies to devise innovative solutions. He has applied machine learning to many research and industry projects, and published peer-reviewed papers on the subject. He holds a PhD in computer science from the University of Maryland. He has taught several software engineering courses at the University of Maryland for close to a decade. In his spare time, he likes to relax in front of his planted aquariums, but also enjoys martial arts, cycling, and snowboarding. He currently resides in Bethesda, MD, with his wife.

Doug Ortiz is an experienced enterprise cloud, big data, data analytics, and solutions architect who has architected, designed, developed, re-engineered, and integrated enterprise solutions. His other areas of expertise include Amazon Web Services, Azure, Google Cloud, business intelligence, Hadoop, Spark, NoSQL databases, and SharePoint, to name but a few. He is also the founder of Illustris, LLC.

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Hands-On Artificial Intelligence on Amazon Web Services teaches you about the various artificial intelligence and machine learning services available on AWS. Through practical hands-on exercises, you'll learn how to use these services to generate impressive results. You will be able to design, develop, monitor, and maintain machine learning and deep learning models on AWS effectively.

The book starts with an introduction to AI and its applications in different industries along with an overview of AWS on AI/machine learning services and platforms. It will teach you all about detecting and translating text with Amazon Rekognition and Amazon Translate. You will learn how to perform speech-to-text with the help of Amazon Transcribe and Amazon Polly.

It covers the use of Amazon Comprehend for extracting information from text and Amazon Lex for building voice chatbots. You will gain an understanding of the key capabilities of Amazon SageMaker wrangling big data, discovering topics in text collections, and classifying images. Lastly, the book explores sales forecasting with deep learning and auto regression and model accuracy degradation.

By the end of this book, you will have all the knowledge required to work with and implement AI in AWS through immersive hands-on exercises covering all the aspects of the model life cycle.

This book is ideal for data scientists, machine learning developers, deep learning researchers, and AI enthusiasts who want to use the power of AWS services to implement powerful AI solutions. A basic understanding of machine learning concepts is expected.