Fundamentals of data science /
Wagh, Sanjeev,
Fundamentals of data science / Sanjeev J. Wagh, Manisha S. Bhende, and Anuradha D. Thakare. - First edition. - 1 online resource (xiv, 282 pages)
"A Chapman & Hall book."
Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue. This book provides a stepwise approach to building solutions to data science applications right from understanding the fundamentals, performing data analytics to writing source code. All the concepts are discussed in simple English to help the community to become Data Scientist without much pre-requisite knowledge. Features : Simple strategies for developing statistical models that analyze data and detect patterns, trends, and relationships in data sets. Complete roadmap to Data Science approach with dedicatedsections which includes Fundamentals, Methodology and Tools. Focussed approach for learning and practice various Data Science Toolswith Sample code and examples for practice. Information is presented in an accessible way for students, researchers and academicians and professionals.
9780429443237 0429443234 9780429811470 0429811470 9780429811456 0429811454 9780429811463 0429811462
Databases.
Information retrieval.
Data mining.
Machine learning.
Recherche de l'information.
Exploration de données (Informatique)
Apprentissage automatique.
information retrieval.
BUSINESS & ECONOMICS--Statistics.
COMPUTERS--Computer Graphics--Game Programming & Design.
COMPUTERS--Database Management--General.
Data mining.
Databases.
Information retrieval.
Machine learning.
QA76.9 / .D3 2022
005.74
Fundamentals of data science / Sanjeev J. Wagh, Manisha S. Bhende, and Anuradha D. Thakare. - First edition. - 1 online resource (xiv, 282 pages)
"A Chapman & Hall book."
Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue. This book provides a stepwise approach to building solutions to data science applications right from understanding the fundamentals, performing data analytics to writing source code. All the concepts are discussed in simple English to help the community to become Data Scientist without much pre-requisite knowledge. Features : Simple strategies for developing statistical models that analyze data and detect patterns, trends, and relationships in data sets. Complete roadmap to Data Science approach with dedicatedsections which includes Fundamentals, Methodology and Tools. Focussed approach for learning and practice various Data Science Toolswith Sample code and examples for practice. Information is presented in an accessible way for students, researchers and academicians and professionals.
9780429443237 0429443234 9780429811470 0429811470 9780429811456 0429811454 9780429811463 0429811462
Databases.
Information retrieval.
Data mining.
Machine learning.
Recherche de l'information.
Exploration de données (Informatique)
Apprentissage automatique.
information retrieval.
BUSINESS & ECONOMICS--Statistics.
COMPUTERS--Computer Graphics--Game Programming & Design.
COMPUTERS--Database Management--General.
Data mining.
Databases.
Information retrieval.
Machine learning.
QA76.9 / .D3 2022
005.74