Description

Book Synopsis
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 lea

Table of Contents

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

Practical AI for Business Leaders Product

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£40.95

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RRP £45.50 – you save £4.55 (10%)

Order before 4pm today for delivery by Fri 9 Jan 2026.

A Paperback / softback by Alfred Essa, Shirin Mojarad

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    View other formats and editions of Practical AI for Business Leaders Product by Alfred Essa

    Publisher: De Gruyter
    Publication Date: 04/04/2022
    ISBN13: 9781501514647, 978-1501514647
    ISBN10: 1501514644

    Description

    Book Synopsis
    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 lea

    Table of Contents

    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

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