Advanced Data Science and Analytics with Python enables data
scientists to continue developing their skills and apply them in
business as well as academic settings. The subjects discussed in
this book are complementary and a follow-up to the topics discussed
in Data Science and Analytics with Python. The aim is to cover
important advanced areas in data science using tools developed in
Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK,
NetworkX and others. The model development is supported by the use
of frameworks such as Keras, TensorFlow and Core ML, as well as
Swift for the development of iOS and MacOS applications. Features:
Targets readers with a background in programming, who are
interested in the tools used in data analytics and data science
Uses Python throughout Presents tools, alongside solved examples,
with steps that the reader can easily reproduce and adapt to their
needs Focuses on the practical use of the tools rather than on
lengthy explanations Provides the reader with the opportunity to
use the book whenever needed rather than following a sequential
path The book can be read independently from the previous volume
and each of the chapters in this volume is sufficiently independent
from the others, providing flexibility for the reader. Each of the
topics addressed in the book tackles the data science workflow from
a practical perspective, concentrating on the process and results
obtained. The implementation and deployment of trained models are
central to the book. Time series analysis, natural language
processing, topic modelling, social network analysis, neural
networks and deep learning are comprehensively covered. The book
discusses the need to develop data products and addresses the
subject of bringing models to their intended audiences - in this
case, literally to the users' fingertips in the form of an iPhone
app. About the Author Dr. Jesus Rogel-Salazar is a lead data
scientist in the field, working for companies such as Tympa Health
Technologies, Barclays, AKQA, IBM Data Science Studio and Dow
Jones. 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.
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