MCQ for Data Science Users: Prepare for success with 5000+ data science multiple-choice questions (English Edition) - Softcover

Bisen, Dr. Dhananjay; Sahu, Dr. Neeraj; Bakariya, Dr. Brijesh

Softcover

ISBN 10: 9355516215 ISBN 13: 9789355516213

Verlag: BPB Publications, 2024

Inhaltsangabe

This book intends to provide a collection of various MCQs on data science

Key Features

● Comprehensive coverage of data science concepts and features.

● Multiple-choice questions to test and assess knowledge effectively.

● Over 5000 multiple-choice questions for practice.

Description

This book is a comprehensive manual created to assess and improve your comprehension of many concepts and methodologies in data science. The course encompasses a broad spectrum of subjects, such as data preprocessing, Machine Learning techniques, data visualization, statistical analysis, and additional topics. Every chapter is organized with a series of multiple-choice questions that test your understanding and allow you to evaluate your expertise in the subject.

The book's objective is to offer a pragmatic and captivating approach for readers to enhance their proficiency in data science through practical exercises. The book provides an extensive examination of several subjects in data science, encompassing data preprocessing, statistical analysis, Machine Learning techniques, data visualization, and additional areas.

This extensive knowledge guarantees that readers acquire a full and all-encompassing comprehension of the subject matter. The chapters in this book adhere to a structured framework, which includes multiple-choice questions that enable readers to assess their understanding and grasp of the content.

What you will learn

● Mastering data science concepts through multiple-choice questions.

● Strengthening problem-solving skills by practicing diverse scenarios.

● Interpreting the results of data analyses and Machine Learning models effectively.

● Evaluating the performance of different Machine Learning models using metrics.

● Developing critical thinking skills to assess the suitability of various data science approaches.

● Preparing for exams, interviews, and quizzes etc.

Who this book is for

This data science MCQ book is perfect for anyone looking to test and improve their knowledge of data through multiple-choice questions.

Table of Contents

1. Fundamental of Data Science and Data Analytics

2. Data Science Tools and Applications

3. Fundamentals of Programming

4. Introduction to Python Programming

5. Data Analysis: NumPy and Pandas Library

6. Data Visualization: Matplotlib and Seaborn Library

7. Data Structures and Algorithms

8. Database Management and Warehousing

9. Data Acquisition, Data Mining and Big Data

10. Data Pre-processing and Feature Engineering

11. Probability and Statistics

12. Linear Algebra

13. Calculus and Optimization

14. Artificial Intelligence

15. Machine Learning

16. Deep Learning

17. Pattern Recognition and Knowledge Representation

18. Natural Language Processing and Text Analytics

19. Web Analytics and Mining

20. Computer Vision

Über diesen Titel

Über die Autorinnen und Autoren

Dr. Dhananjay Bisen is an Assistant Professor in the Centre for Internet of Things, Madhav Institute of Technology and Science, Gwalior. He completed his Ph. D. from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, Madhya Pradesh (2019).

Dr. Neeraj Sahu is working in G H Raisoni University, Amravati, Maharashtra. He received the Ph.D. degree in Computer Science and Engineering from the Singhania University, Rajasthan, India, in 2014.

Dr. Brijesh Bakariya is an Assistant Professor in the Department of Computer Science and Engineering, I.K. Gujral Punjab Technical University (IKGPTU) Campus Hoshiarpur, Punjab . He completed his Ph. D. from Maulana Azad National Institute of Technology (NIT- Bhopal), Madhya Pradesh (2016). He received MCA Degree from Devi Ahilya Vishwavidyalaya, Indore, Madhya Pradesh (2009). He has been teaching since 2009 and guiding M.Tech/Ph.D. students.

Details zur Ausgabe

• Verlag: BPB Publications
• Erscheinungsdatum: 2024
• ISBN 10: 9355516215
• ISBN 13: 9789355516213
• Einband: Tapa blanda
• Sprache: Englisch
• Anzahl der Seiten: 510
• Kontakt zum Hersteller: Nicht verfügbar