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:

Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Data Structures and Algorithms - Benjamin Baka
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Python - Francois Chollet
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
R Deep Learning Essentials - Dr. Joshua F.Wiley
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning in Python - LazyProgrammer
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Neural Networks and Deep Learning - Charu C.Aggarwal
Introduction to the Math of Neural Networks - Jeff Heaton
Learn Keras for Deep Neural Networks - Jojo Moolayil
The hundred-page Machine Learning Book - Andriy Burkov
Machine Learning with Python for everyone - Mark E.Fenner
Amazon Machine Learning Developer Guild Version Latest
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Machine Learning with spark and python - Michael Bowles
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Deep Learning Cookbook - Indra den Bakker
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Artificial Intelligence by example - Denis Rothman
Intelligent Projects Using Python - Santanu Pattanayak
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
An introduction to neural networks - Kevin Gurney & University of Sheffield
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson