Pallavi Vijay Chavan; Parikshit N Mahalle; Ramchandra Mangrulkar; Idongesit Williams Taylor & Francis Ltd (2022) Saatavuus: Tilaustuote Kovakantinen kirja
Mangesh M. Ghonge; Pradeep Nijalingappa; Renjith V. Ravi; Shilpa Laddha; Pallavi Vijay Chavan De Gruyter (2023) Saatavuus: Tilaustuote Kovakantinen kirja
Taylor & Francis Ltd Sivumäärä: 322 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2022, 15.08.2022 (lisätietoa) Kieli: Englanti
This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science.
Key Features
• Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science.
• Presents predictive outcomes by applying data science techniques to real-life applications.
• Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods.
• Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields.
The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.
