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  • Gebundenes Buch

From the Back Cover Generative AI for Data Analytics is a guide to enhancing and accelerating data analytics using ChatGPT. This book walks you through the full analytics pipeline, demonstrating the discipline's core tools and methods with an easy-to-understand e-commerce example. For each step in the process, you'll discover how ChatGPT can implement data techniques from simple plain-English prompts. Written by a pair of world-class data scientists and an experienced risk manager, the book concentrates on the practical analytics tasks you'll do every day. Each topic is illustrated with…mehr

Produktbeschreibung
From the Back Cover Generative AI for Data Analytics is a guide to enhancing and accelerating data analytics using ChatGPT. This book walks you through the full analytics pipeline, demonstrating the discipline's core tools and methods with an easy-to-understand e-commerce example. For each step in the process, you'll discover how ChatGPT can implement data techniques from simple plain-English prompts. Written by a pair of world-class data scientists and an experienced risk manager, the book concentrates on the practical analytics tasks you'll do every day. Each topic is illustrated with transcripts of authentic ChatGPT conversations, showing best practice prompt engineering in action. You'll rapidly realize ChatGPT's potential and learn how and when to apply it appropriately. The book provides vital guidance on the model's risks and mistakes so you can make the most of its capabilities without being blindsided by its shortcomings. About the reader Whether you're a data expert seeking efficiency gains, an analyst looking to extend your spreadsheets with serious data tools, or a complete beginner making a ChatGPT-empowered career jump, this book is for you.
Autorenporträt
Artur Guja is a risk manager, computer scientist, systems developer, and financial markets professional with over 20 years of experience in the banking sector, delivering safe and practical solutions across IT, risk management, and financial product trading. Dr. Marlena Siwiak is an experienced data scientist and bioinformatician with a comprehensive scientific background who gained experience in developing business data applications. An individual who knows how to use both numbers and words. Dr. Marian Siwiak is a data scientist with a track record of using data knowledge and managerial experience to successfully deliver multimillion IT, scientific and technical projects covering various areas, from life sciences to robotics.