Rogel - Salazar Jesus (Imperial College London Uk)
Rogel - Salazar Jesus (Imperial College London Uk) - Data Science And Analytics With Python - Paperback
Rogel - Salazar Jesus (Imperial College London Uk) - Data Science And Analytics With Python - Paperback
Books
Regular price
$73.14 USD
Regular price
Sale price
$73.14 USD
Unit price
per
Shipping calculated at checkout.
Couldn't load pickup availability
Binding: Paperback
Description: Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data science using tools developed in Python such as Sci Kit - learn Pandas Numpy and others. The use of Python is of particular interest given its recent popularity in the data science community. The book can be used by seasoned programmers and newcomers alike. The book is organized in a way that individual chapters are sufficiently independent from each other so that the reader is comfortable using the contents as a reference. The book discusses what data science and analytics are from the point of view of the process and results obtained. Important features of Python are also covered including a Python primer. The basic elements of machine learning pattern recognition and artificial intelligence that underpin the algorithms and implementations used in the rest of the book also appear in the first part of the book. Regression analysis using Python clustering techniques and classification algorithms are covered in the second part of the book. Hierarchical clustering decision trees and ensemble techniques are also explored along with dimensionality reduction techniques and recommendation systems. The support vector machine algorithm and the Kernel trick are discussed in the last part of the book. About the Author Dr. Jes's Rogel - Salazar is a Lead Data scientist with experience in the field working for companies such as AKQ a IBM Data Science Studio Dow Jones and others. He is a visiting researcher at the Department of Physics at Imperial College London UK and a member of the School of Physics Astronomy and Mathematics at the University of Hertfordshire UK He obtained his doctorate in physics at Imperial College London for work on quantum atom optics and ultra - cold matter. He has held a position as senior lecturer in mathematics as well as a consultant in the financial industry since 2006. He is the author of the book Essential Matlab and Octave also published by CRC Press. His interests include mathematical modelling data science and optimization in a wide range of applications including optics quantum mechanics data journalism and finance.
Title: Data Science And Analytics With Python
Author(s): Rogel - Salazar Jesus (Imperial College London Uk)
Publisher: Taylor & Francis Inc
Barcode: 9781498742092
Pages: 412 Pages, 19 Tables, Black And White; 25 Illustrations, Black And White
Publication Date: 10/1/2017
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Category: Computer Science
Description: Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data science using tools developed in Python such as Sci Kit - learn Pandas Numpy and others. The use of Python is of particular interest given its recent popularity in the data science community. The book can be used by seasoned programmers and newcomers alike. The book is organized in a way that individual chapters are sufficiently independent from each other so that the reader is comfortable using the contents as a reference. The book discusses what data science and analytics are from the point of view of the process and results obtained. Important features of Python are also covered including a Python primer. The basic elements of machine learning pattern recognition and artificial intelligence that underpin the algorithms and implementations used in the rest of the book also appear in the first part of the book. Regression analysis using Python clustering techniques and classification algorithms are covered in the second part of the book. Hierarchical clustering decision trees and ensemble techniques are also explored along with dimensionality reduction techniques and recommendation systems. The support vector machine algorithm and the Kernel trick are discussed in the last part of the book. About the Author Dr. Jes's Rogel - Salazar is a Lead Data scientist with experience in the field working for companies such as AKQ a IBM Data Science Studio Dow Jones and others. He is a visiting researcher at the Department of Physics at Imperial College London UK and a member of the School of Physics Astronomy and Mathematics at the University of Hertfordshire UK He obtained his doctorate in physics at Imperial College London for work on quantum atom optics and ultra - cold matter. He has held a position as senior lecturer in mathematics as well as a consultant in the financial industry since 2006. He is the author of the book Essential Matlab and Octave also published by CRC Press. His interests include mathematical modelling data science and optimization in a wide range of applications including optics quantum mechanics data journalism and finance.
Title: Data Science And Analytics With Python
Author(s): Rogel - Salazar Jesus (Imperial College London Uk)
Publisher: Taylor & Francis Inc
Barcode: 9781498742092
Pages: 412 Pages, 19 Tables, Black And White; 25 Illustrations, Black And White
Publication Date: 10/1/2017
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Category: Computer Science
