Introducing Data Science – Davy Cielen & Arno D.B.Meysman & Mohamed Ali

The illustration on the cover of Introducing Data Science is taken from the 1805 edition of Sylvain Maréchal’s four-volume compendium of regional dress customs. This book was first published in Paris in 1788, one year before the French Revolution. Each illustration is colored by hand. The caption for this illustration reads “Homme Salamanque,” which means man from Salamanca, a province in western Spain, on the border with Portugal. The region is known for its wild beauty, lush forests, ancient oak trees,
rugged mountains, and historic old towns and villages.

The Homme Salamanque is just one of many figures in Maréchal’s colorful collection. Their diversity speaks vividly of the uniqueness and individuality of the world’s towns and regions just 200 years ago. This
was a time when the dress codes of two regions separated by a few dozen miles identified people uniquely as belonging to one or the other. The collection brings to life a sense of the isolation and distance of that
period and of every other historic period—except our own hyperkinetic present. Dress codes have changed since then and the diversity by region, so rich at the time, has faded away. It is now often hard to tell the inhabitant of one continent from another. Perhaps we have traded cultural diversity for a more varied personal life-certainly for a more varied and fast-paced technological life.

We at Manning celebrate the inventiveness, the initiative, and the fun of the computer business with book covers based on the rich diversity of regional life two centuries ago, brought back to life by Maréchal’s pictures.

Related posts:

Amazon Machine Learning Developer Guild Version Latest
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning in Python - LazyProgrammer
Introduction to the Math of Neural Networks - Jeff Heaton
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning and Neural Networks - Jeff Heaton
Machine Learning with Python for everyone - Mark E.Fenner
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Python Machine Learning - Sebastian Raschka
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Medical Image Segmentation Using Artificial Neural Networks
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Artificial Intelligence by example - Denis Rothman
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Neural Networks and Deep Learning - Charu C.Aggarwal
Coding Theory - Algorithms, Architectures and Application
Deep Learning with Hadoop - Dipayan Dev
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning with Python - Francois Chollet
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Machine Learning with spark and python - Michael Bowles
Deep Learning for Natural Language Processing - Jason Brownlee
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning with Python - Francois Cholletf
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
An introduction to neural networks - Kevin Gurney & University of Sheffield