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 SciKit-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.
Jesus 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. 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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!