Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
| Author | : | |
| Rating | : | 4.60 (576 Votes) |
| Asin | : | 1498742092 |
| Format Type | : | paperback |
| Number of Pages | : | 412 Pages |
| Publish Date | : | 2016-04-19 |
| Language | : | English |
DESCRIPTION:
He obtained his doctorate in Physics at Imperial College London for work on quantum atom optics and ultra-cold matter. About the AuthorDr. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism and finance. He is also a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. He has held a position as senior lecturer in mathematics as well as a consultant and data scientist in the financial industry since 2006. He is the author of the book “Essential Matlab and Octave”, also published with CRC
Dr. He is also a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism and finance. Jesús
Important features of Python are also covered, including a Python primer. About the AuthorDr. 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. 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. The use of Python is of particular interest, given its recent popularity in the data science community. Jesús Rogel-Salazar is a Lead Data scientist with experience in the field working for companies such as AKQA, IBM Data Science Studio, Dow Jones and others. Regression analysis using Python, clustering techniques, and classification algorithms are covered in the second part of the book. The book discusses what data science and analytics are, from the point of view of the process and results obtained. 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