
Introduction to Principles of Data Science
Data Science
LAP Lambert Academic Publishing
Published on 2. February 2023
Book
Paperback/Softback
116 pages
978-620-6-14250-8 (ISBN)
Description
Business and technical leaders will discover how to measure their organization's data science maturity and determine whether it is data-driven. They will also learn how to apply the Healthy Data Science Organization Framework to foster a healthy data science attitude within the organization through practical and applied use cases. This framework was developed based on my experience as a data scientist working on end-to-end machine learning and data science solutions with external customers from a variety of industries, including energy, oil and gas, retail, aerospace, healthcare, and professional services. The framework offers a lifecycle to help you organize how your data science projects are developed. A project's lifespan illustrates what happens from beginning to end when it is completed.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 8 mm
Weight
191 gr
ISBN-13
978-620-6-14250-8 (9786206142508)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Dr. Preethi. N is an Associate Professor in Christ (Deemed to be University), Lavasa campus, Pune. Her research interests are Machine learning, Deep Learning etc. Dr. (Fr) Jossy P George has been working with Christ University, Bengaluru,and currently serving as the Director & Dean at Pune Lavasa Campus. He has dual Master degree from the USA.