"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features provide numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, clustering and classification; reviews a range of applications of data science, including recommender systems and related data analysis of text data; provides supplementary code resources and data.
Write your review for this book (optional)
Review Deleted
Your review has been deleted and won’t appear on the book anymore.
Firos A
Dr. Firos A is working as Assistant Professor in Department of Computer Science and Engineering, Rajiv Gandhi University, Rono Hills, Doimukh, India. He received his PhD (Computer Science and Engineering) degree from Rajiv Gandhi University, Rono Hills, Doimukh, India. He received his M.E (Computer Science and Engineering) degree from Anna University, Chennai, India and M.B.A from Tamil Nadu Open University, Chennai, Tamil Nadu, India.
His research interest includes applications of Data Science, Natural Language Processing, Signal Processing, fuzzy logic, artificial neural network, and Network Security. He has many SCI &Scopus-indexed research publications and he presented research papers in many International Conferences. He has over 15 years of research experience in the field of Data science, Signal Processing and network systems.
