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:

Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning with PyTorch - Vishnu Subramanian
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning for Natural Language Processing - Jason Brownlee
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning with Theano - Christopher Bourez
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Python - Francois Chollet
An introduction to neural networks - Kevin Gurney & University of Sheffield
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Introduction to the Math of Neural Networks - Jeff Heaton
Java Deep Learning Essentials - Yusuke Sugomori
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
R Deep Learning Essentials - Dr. Joshua F.Wiley
Python Machine Learning - Sebastian Raschka
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Python Machine Learning Eqution Reference - Sebastian Raschka
Python Deep Learning Cookbook - Indra den Bakker
Introduction to Scientific Programming with Python - Joakim Sundnes
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Artificial Intelligence by example - Denis Rothman
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman