Alfred Essa, Shirin Mojarad

Practical AI for Business Leaders, Product Managers, and Entrepreneurs

• Broschiertes Buch

Produktbeschreibung

Most economists agree that AI is a general purpose technology (GPT) like the steam engine, electricity, and the computer. AI will drive innovation in all sectors of the economy for the foreseeable future. Practical AI for Business Leaders, Product Managers, and Entrepreneurs is a technical guidebook for the business leader or anyone responsible for leading AI-related initiatives in their organization. The book can also be used as a foundation to explore the ethical implications of AI.

Authors Alfred Essa and Shirin Mojarad provide a gentle introduction to foundational topics in AI. Each topic is framed as a triad: concept, theory, and practice. The concept chapters develop the intuition, culminating in a practical case study. The theory chapters reveal the underlying technical machinery. The practice chapters provide code in Python to implement the models discussed in the case study.

With this book, readers will learn:

The technical foundations of machine learning and deep learning

How to apply the core technical concepts to solve business problems

The different methods used to evaluate AI models

How to understand model development as a tradeoff between accuracy and generalization

How to represent the computational aspects of AI using vectors and matrices

How to express the models in Python by using machine learning libraries such as scikit-learn, statsmodels, and keras

Produktdetails

• Verlag: De Gruyter
• Seitenzahl: 240
• Erscheinungstermin: 4. April 2022
• Englisch
• Abmessung: 240mm x 170mm x 15mm
• Gewicht: 464g
• ISBN-13: 9781501514647
• ISBN-10: 1501514644
• Artikelnr.: 47799458

Autorenporträt

Alfred Essa has led advanced analytics, machine learning, and information technology teams in academia and industry. He has served as Simon Fellow at Carnegie Mellon University, VP of Analytics and R&D at McGraw Hill Education, and CIO at MIT's Sloan School of Management. He is a graduate of Haverford College and Yale University. Shirin Mojarad is a senior machine learning specialist at Google Cloud. Previously, she was a senior data scientist at Apple where she worked on AB experimentation, causal inference, and metrics design. She has experience applying AI and machine learning to five vertical markets in Big Data: healthcare, finance, educational technology, high tech, and cloud technology. She received her master's and Ph.D. from Newcastle University, United Kingdom.

Inhaltsangabe

Introduction

What is AI and why it is at the center of major business transformation?

How is it related to machine learning?

What is deep learning, and how is it related to ML?

Why is it important?

How the book is organized

Who is the audience?

Section 1: Machine Learning Chapter 1.1, introduction, machine learning, different types of machine learning

Chapter 1.2, Machine Learning Technical Overview

Chapter 1.3, Hands-On Machine Learning with Scikit Learn

Chapter 1.4, Advanced Topics/flavors of Machine learning

Appendix: mathematical interlude



Section 2: Deep Learning

Chapter 2.1, introduction (what is it, why is it important)

Chapter 2.2, Deep Learning Technical Overview

Chapter 2.3, Hands-On Deep Learning with Keras

Chapter 2.4, Advanced Topics/flavors of deep learning

Appendix: mathematical interlude



Section 3: Putting AI into Practice: Innovation Framework

Chapter 3.1: Diffusion and Dynamics of Innovation

Chapter 3.2: Managing an Innovation Portfolio