Mathematical Problems in Data Science: Theoretical and Practical Methods Book PDF, ePub eBook

Join our eBook service for unlimited books & audiobooks. Get a free 7 day subscription! ↓↓↓↓↓


Book Descriptions:

This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods.  For unsolved problems such as incomplete data relation and reconstruction, the book includes possible solutions and both statistical and computational methods for data analysis. Initial chapters focus on exploring the properties of incomplete data sets and partial-connectedness among data points or data sets. Discussions also cover the completion problem of Netflix matrix; machine learning method on massive data sets; image segmentation and video search. This book introduces software tools for data science and Big Data such MapReduce, Hadoop, and Spark.  

This book contains three parts.  The first part explores the fundamental tools of data science. It includes basic graph theoretical methods, statistical and AI methods for massive data sets. In second part, chapters focus on the procedural treatment of data science problems including machine learning methods, mathematical image and video processing, topological data analysis, and statistical methods. The final section provides case studies on special topics in variational learning, manifold learning, business and financial data rec

overy, geometric search, and computing models. 

Mathematical Problems in Data Science is a valuable resource for researchers and professionals working in data science, information systems and networks.  Advanced-level students studying computer science, electrical engineering and mathematics will also find the content helpful.

Mathematical Problems in Data Science: Theoretical and Practical Methods by Li M. Chen, Zhixun Su, Bo Jiang

From reader reviews:

Joshua Orvis:

Have you spare time for just a day? What do you do when you have much more or little spare time? Yep, you can choose the suitable activity intended for spend your time. Any person spent their spare time to take a wander, shopping, or went to typically the Mall. How about open or read a book titled Mathematical Problems in Data Science: Theoretical and Practical Methods? Maybe it is being best activity for you. You already know beside you can spend your time together with your favorite's book, you can cleverer than before. Do you agree with the opinion or you have different opinion?

Cassandra Tucker:

Typically the book Mathematical Problems in Data Science: Theoretical and Practical Methods will bring someone to the new experience of reading the book. The author style to describe the idea is very unique. If you try to find new book to study, this book very ideal to you. The book Mathematical Problems in Data Science: Theoretical and Practical Methods is much recommended to you to study. You can also get the e-book in the official web site, so you can more readily to read the book.

Burton Zinn:

The e-book with title Mathematical Problems in Data Science: Theoretical and Practical Methods has lot of information that you can learn it. You can get a lot of help after read this book. This particular book exist new knowledge the information that exist in this publication represented the condition of the world today. That is important to yo7u to be aware of how the improvement of the world. This book will bring you in new era of the syndication. You can read the e-book on the smart phone, so you can read this anywhere you want.

Tonya Quick:

Playing with family in a park, coming to see the ocean world or hanging out with close friends is thing that usually you might have done when you have spare time, after that why you don't try matter that really opposite from that. One activity that make you not experiencing tired but still relaxing, trilling like on roller coaster you are ride on and with addition info. Even you love Mathematical Problems in Data Science: Theoretical and Practical Methods, it is possible to enjoy both. It is good combination right, you still would like to miss it? What kind of hang-out type is it? Oh come on its mind hangout fellas. What? Still don't understand it, oh come on its named reading friends.