60,95 €*
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
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¿
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¿
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.
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
| Empfohlen (von): | 22 |
|---|---|
| Erscheinungsjahr: | 2022 |
| Fachbereich: | Datenkommunikation, Netze & Mailboxen |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
XVIII
222 S. 85 s/w Illustr. 106 farbige Illustr. 21 s/w Tab. 85 b/w and 106 col. ill. 21 b/w tbl. |
| ISBN-13: | 9781501514647 |
| ISBN-10: | 1501514644 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Mojarad, Shirin
Essa, Alfred |
| Hersteller: |
De Gruyter
De|G Press Walter de Gruyter Inc. |
| Maße: | 240 x 170 x 15 mm |
| Von/Mit: | Shirin Mojarad (u. a.) |
| Erscheinungsdatum: | 04.04.2022 |
| Gewicht: | 0,464 kg |
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.
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
| Empfohlen (von): | 22 |
|---|---|
| Erscheinungsjahr: | 2022 |
| Fachbereich: | Datenkommunikation, Netze & Mailboxen |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
XVIII
222 S. 85 s/w Illustr. 106 farbige Illustr. 21 s/w Tab. 85 b/w and 106 col. ill. 21 b/w tbl. |
| ISBN-13: | 9781501514647 |
| ISBN-10: | 1501514644 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Mojarad, Shirin
Essa, Alfred |
| Hersteller: |
De Gruyter
De|G Press Walter de Gruyter Inc. |
| Maße: | 240 x 170 x 15 mm |
| Von/Mit: | Shirin Mojarad (u. a.) |
| Erscheinungsdatum: | 04.04.2022 |
| Gewicht: | 0,464 kg |
Ähnliche Produkte
Lieferzeit 1-2 Werktage
Lieferzeit 1-2 Wochen
Lieferzeit 1-2 Werktage
Lieferzeit 1-2 Werktage
Lieferzeit 1-2 Wochen