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:

Coding Theory - Algorithms, Architectures and Application
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Machine Learning - Sebastian Raschka
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning with Python - Francois Cholletf
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Deep Learning Cookbook - Indra den Bakker
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Introduction to the Math of Neural Networks - Jeff Heaton
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Artificial Intelligence by example - Denis Rothman
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning for Natural Language Processing - Jason Brownlee
Medical Image Segmentation Using Artificial Neural Networks