Jon Howells

Data Science for Decision Makers (eBook, ePUB)

Enhance your leadership skills with data science and AI expertise

• Format: ePub

Produktbeschreibung

As data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI.
This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements.
By the end of this book, you'll be able to characterize the data within your organization and frame business problems as data science problems.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 270
• Erscheinungstermin: 26. Juli 2024
• Englisch
• ISBN-13: 9781837638345
• Artikelnr.: 73394039

Autorenporträt

Jon Howells is a seasoned AI and Data Science professional with a decade of experience in the field. He runs an AI consultancy called Qualifai and has worked with various companies, including Unilever, Permira and Capgemini, developing and deploying data science services and solutions. He holds a Master's degree in Computational Statistics & Machine Learning from UCL. Jon is particularly interested in the application of Large Language Models (LLMs) in consumer-focused businesses, such as using LLMs for consumer research and feedback analysis, personalized content generation, and enhanced customer support, ultimately helping businesses better understand and engage with their customers.