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:

Learn Keras for Deep Neural Networks - Jojo Moolayil
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning and Neural Networks - Jeff Heaton
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Deep Learning Cookbook - Indra den Bakker
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Fundamentals of Deep Learning - Nikhil Bubuma
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Data Science and Big Data Analytics - EMC Education Services
Neural Networks and Deep Learning - Charu C.Aggarwal
Artificial Intelligence by example - Denis Rothman
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning with spark and python - Michael Bowles
Introduction to Deep Learning - Eugene Charniak
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning with Python - Francois Cholletf
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Introduction to Scientific Programming with Python - Joakim Sundnes
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad