Data Science: Concepts and Practice

ISBN-13: 9780128147610 / Angielski / Miękka / 2018 / 568 str.

Vijay Kotu (Senior Director of Analytics; SimaFore) Bala Deshpande (Founder

Opis

Data science is about finding useful patterns in data. Rapid expansion in the volume of information collected by organizations entails a critical need for a framework and toolset to analyze and extract meaningful knowledge from data. Data science offers a set of techniques to uncover hidden patterns and relationships in data, in order to aid decision-making. Data Science presents the basic concepts behind many data science techniques in an easy to follow manner and prepares anyone with a basic grasp of mathematics to implement these techniques in their business, without the need to write programming code. The book uses an open source, GUI based data science tool to illustrate the concepts so that readers can follow the concepts and implement data science algorithms in parallel. The tool is open source, which means that learning data science with this tool is virtually cost free. The content and practical use cases described in this book are geared towards business and analytics professionals who use data. The reader of the book will acquire a comprehensive understanding of different data science techniques, and be prepared to select the right technique for a given data problem and to create a general purpose analytics process

Spis treści

1. Introduction
2. Data Science Process
3. Data Exploration
4. Classification
5. Deep Learning
6. Regression Methods
7. Association Analysis
8. Recommendation Engines
9. Clustering
10. Text Mining (renamed to: Natural Language Processing)
11. Time Series Forecasting
12. Anomaly Detection
13. Feature Selection
14. Model Evaluation
15. Efficient Model Execution
16. Getting Started with RapidMiner

O autorze

Vijay Kotu is Vice President of Analytics at ServiceNow. He leads the implementation of large-scale data platforms and services to support the company's enterprise business. He has led analytics organizations for over a decade with focus on data strategy, business intelligence, machine learning, experimentation, engineering, enterprise adoption, and building analytics talent. Prior to joining ServiceNow, he was Vice President of Analytics at Yahoo. He worked at Life Technologies and Adteractive where he led marketing analytics, created algorithms to optimize online purchasing behavior, and developed data platforms to manage marketing campaigns. He is a member of the Association of Computing Machinery and a member of the Advisory Board at RapidMiner. Dr. Deshpande has extensive experience in working with companies ranging from startups to Fortune 5 in fields ranging from automotive, aerospace, retail, food, and manufacturing verticals delivering business analysis; designing and developing custom data products for implementing business intelligence, data science, and predictive analytics solutions. He was the Founder of SimaFore, a predictive analytics consulting company which was acquired by Soliton Inc., a provider of testing solutions for the semiconductor industry. He was also the Founding Co-chair of the annual Predictive Analytics World-Manufacturing conference. In his professional career he has worked with Ford Motor Company on their product development, with IBM at their IBM Watson Center of Competence, and with Domino's Pizza at their data science and artificial intelligence groups. He has a Ph.D. from Carnegie Mellon and an MBA from Ross School of Business, Michigan.