Practical AI for Business Leaders, Product Managers, and Entrepreneurs
portes grátis
Practical AI for Business Leaders, Product Managers, and Entrepreneurs
Mojarad, Shirin; Essa, Alfred
De Gruyter
04/2022
240
Mole
Inglês
9781501514647
15 a 20 dias
402
Descrição não disponível.
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Analytics; Data Science; Big Data; Business Intelligence; Design Patterns
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
