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:

R Deep Learning Essentials - Dr. Joshua F.Wiley
Neural Networks - A visual introduction for beginners - Michael Taylor
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning with Theano - Christopher Bourez
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning for Natural Language Processing - Jason Brownlee
Coding Theory - Algorithms, Architectures and Application
Deep Learning in Python - LazyProgrammer
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning with PyTorch - Vishnu Subramanian
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python Machine Learning - Sebastian Raschka
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning with Python - Francois Chollet
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Introduction to Deep Learning - Eugene Charniak
Medical Image Segmentation Using Artificial Neural Networks
Machine Learning with Python for everyone - Mark E.Fenner
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf