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:

Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Data Structures and Algorithms - Benjamin Baka
Python Machine Learning - Sebastian Raschka
Deep Learning in Python - LazyProgrammer
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
R Deep Learning Essentials - Dr. Joshua F.Wiley
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Intelligent Projects Using Python - Santanu Pattanayak
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with Hadoop - Dipayan Dev
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Python Machine Learning Eqution Reference - Sebastian Raschka
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Introduction to Scientific Programming with Python - Joakim Sundnes
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Learn Keras for Deep Neural Networks - Jojo Moolayil
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Introduction to Deep Learning - Eugene Charniak