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:

Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning for Natural Language Processing - Jason Brownlee
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning with PyTorch - Vishnu Subramanian
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning with Python - Francois Cholletf
Medical Image Segmentation Using Artificial Neural Networks
Python Machine Learning Eqution Reference - Sebastian Raschka
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning with Python - Francois Chollet
Deep Learning in Python - LazyProgrammer
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Amazon Machine Learning Developer Guild Version Latest
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Introduction to Deep Learning - Eugene Charniak
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
R Deep Learning Essentials - Dr. Joshua F.Wiley
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...