Practical AI for Business Leaders, Product Managers, and Entrepreneurs

ISBN-13: 9781501514647 / Angielski / Miękka / 2022 / 240 str.

Shirin Mojarad

Spis treści

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

O autorze

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.