Building an effective data science practice : a framework to bootstrap and manage a successful data science practice. / Vineet Raina, Srinath Krishnamurthy.

Format:

Book

Author/Creator:

Raina, Vineet, author.

Krishnamurthy, Srinath, author.

Language:

English

Subjects (All):

Data mining.

Big data.

Machine learning.

Business--Data processing.

Business.

Physical Description:

1 online resource (376 pages)

Place of Publication:

New York : Apress Media, [2022]

Summary:

Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation.

Contents:

Part One: Fundamentals

1. Introduction: The Data Science Process

2. Data Science and your business

3. Monks vs. Cowboys: Data Science Cultures

Part Two: Classes of Problems

4. Classification

5. Regression

6. Natural Language Processing

7. Clustering

8. Anomaly Detection

9.Recommendations

10. Computer Vision

11. Sequential Decision Making

Part Three: Techniques & Technologies

12. Overview

13. Data Capture

14. Data Preparation

15. Data Visualization

16. Machine Learning

17. Inference

18. Other tools and services

19. Reference Architecture

20. Monks vs. Cowboys: Praxis

Part Four: Building Teams and Executing Projects

21. The Skills Framework

22. Building and structuring the team

23. Data Science Projects

Appendix FAQs.

Notes:

Description based on print version record.

ISBN:

9781523150953

1523150955

9781484274194

1484274199

OCLC:

1288273234