ý kiến bạn đọc

Data science

Tác giả: John D. Kelleher, Brendan Tierney

Presenting to What is data science?. What is data and what is a dataset?. The data science ecosystem. Machine learning 101. Standard data science tasks. Privacy and ethics. Future trends and principles of success.

Principles of data science

Tác giả: Hamid Arabnia, ... [and other people]

This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data ...

Handbook of big data analytics : 1st ed.

Tác giả: Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation ...

Big data : a primer

Tác giả: Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the ...

Big data @ work : dispelling the myths, uncovering the opportunities

Tác giả: Thomas H. Davenport

This book will help you understand: Why big data is important to you and your organization. What technology you need to manage it. How big data could change your job, your company, and your industry. How to hire, rent, or develop the kinds of people who make big data work. The key success factors ...