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1) Machine learning: hands-on for developers and technical professionals

Author

Bell, Jason

Publisher

Wiley

Language

English

2) Patterns, predictions, and actions: foundations of machine learning

Author

Hardt, Moritz

Publisher

Princeton University Press

Pub. Date

[2022]

Language

English

3) Developing the forest machine group

Author

Tuominen, Kari

Publisher

Oy Benchmarking

Pub. Date

2016.

Language

English

4) Introduction to machine learning

Author

Alpaydin, Ethem

Series

Adaptive computation and machine learning

Publisher

The MIT Press

Pub. Date

2014.

Language

English

5) Machine learning for iOS developers

Author

Mishra, Abhishek

Publisher

Wiley

Pub. Date

[2020]

Language

English

6) Hands-on reinforcement learning with python: master reinforcement learning and deep reinforcement learning by building intelligent app

Author

Ravichandiran, Sudharsan

Publisher

Packt

Pub. Date

2018.

Language

English

7) Machine learning with core ML: an ios developer's guide to implementing machine learning in mobile apps

Author

Newnham, Joshua

Publisher

Packt

Pub. Date

2018.

Language

English

8) Machine learning with spark and python: essential techniques for predictive analytic

Author

Bowles, Michael

Publisher

Wiley

Pub. Date

[2020]

Language

English

9) Machine learning for future wireless communications

Author

Luo, Fa-Long

Publisher

Wiley

Pub. Date

[2020]

Language

English

10) C-machine learning projects: nine real-world projects to build robust and high-performing machine learning models with C

Author

Hwang, Yoon Hyup

Publisher

Packt Publishing

Pub. Date

2018.

Language

English

11) Machine learning for dummies

Author

Mueller, John Paul

Series

For dummies

Publisher

John Wiley & Sons, Inc

Pub. Date

2016.

Language

English

12) Applied machine learning with Python

Author

Giussani, Andrea

Publisher

EGEA S.pA

Pub. Date

[2019]

Language

English

13) Mastering machine learning with scikit-learn: learning to implement and evaluate machine learning solutions with scikit-learn

Author

Hackeling, Gavin

Publisher

Packt

Pub. Date

2017.

Language

English

14) Information discovery with machine intelligence for language

Series

Information Discovery and Delivery volume Volume 3

Publisher

Emerald Publishing

Pub. Date

2020.

Language

English

15) Effective amazon machine learning

Author

Perrier, Alexis

Publisher

Packt Publishing

Pub. Date

2017.

Language

English

16) The supervised learning workshop: a new, interactive approach to understanding supervised learning algorithms

Author

Bateman, Blaine

Publisher

Packt

Pub. Date

[2020]

Language

English

17) Machine learning and cognitive computing for mobile communications and wireless networks

Publisher

John Wiley & Sons, Incorporated

Pub. Date

2020.

Language

English

18) Data intelligence and risk analytics

Series

Industrial Management and Data Systems volume Volume 120, Number 2

Publisher

Emerald Publishing

Pub. Date

2020.

Language

English

19) Deep learning with Python: a hands-on introduction

Author

Ketkar, Nikhil

Publisher

Apress

Pub. Date

[2017]

Language

English

20) Mastering machine learning with spark 2.x: create scalable machine learning applications to power a modern data-driven business using spark

Author

Tellez, Alex

Publisher

Packt

Pub. Date

2017.

Language

English

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Catalog Search Results

1) Machine learning: hands-on for developers and technical professionals

2) Patterns, predictions, and actions: foundations of machine learning

3) Developing the forest machine group

4) Introduction to machine learning

5) Machine learning for iOS developers

6) Hands-on reinforcement learning with python: master reinforcement learning and deep reinforcement learning by building intelligent app

7) Machine learning with core ML: an ios developer's guide to implementing machine learning in mobile apps

8) Machine learning with spark and python: essential techniques for predictive analytic

9) Machine learning for future wireless communications

10) C-machine learning projects: nine real-world projects to build robust and high-performing machine learning models with C

11) Machine learning for dummies

12) Applied machine learning with Python

13) Mastering machine learning with scikit-learn: learning to implement and evaluate machine learning solutions with scikit-learn

14) Information discovery with machine intelligence for language

15) Effective amazon machine learning

16) The supervised learning workshop: a new, interactive approach to understanding supervised learning algorithms

17) Machine learning and cognitive computing for mobile communications and wireless networks

18) Data intelligence and risk analytics

19) Deep learning with Python: a hands-on introduction

20) Mastering machine learning with spark 2.x: create scalable machine learning applications to power a modern data-driven business using spark