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:

Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Coding Theory - Algorithms, Architectures and Application
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Deep Learning with Hadoop - Dipayan Dev
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Pattern recognition and machine learning - Christopher M.Bishop
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning in Python - LazyProgrammer
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Neural Networks - A visual introduction for beginners - Michael Taylor
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Artificial Intelligence by example - Denis Rothman
Python Machine Learning - Sebastian Raschka
Deep Learning with Theano - Christopher Bourez
Deep Learning with Applications Using Python - Navin Kumar Manaswi
An introduction to neural networks - Kevin Gurney & University of Sheffield
Fundamentals of Deep Learning - Nikhil Bubuma
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning with Python - Francois Chollet
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with Keras - Antonio Gulli & Sujit Pal