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
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Amazon Machine Learning Developer Guild Version Latest
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Pattern recognition and machine learning - Christopher M.Bishop
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Python Data Structures and Algorithms - Benjamin Baka
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning with Hadoop - Dipayan Dev
An introduction to neural networks - Kevin Gurney & University of Sheffield
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Fundamentals of Deep Learning - Nikhil Bubuma
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Machine Learning with spark and python - Michael Bowles
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning in Python - LazyProgrammer
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf