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:

Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Fundamentals of Deep Learning - Nikhil Bubuma
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning with Theano - Christopher Bourez
Deep Learning with Python - Francois Chollet
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Amazon Machine Learning Developer Guild Version Latest
The hundred-page Machine Learning Book - Andriy Burkov
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Coding Theory - Algorithms, Architectures and Application
R Deep Learning Essentials - Dr. Joshua F.Wiley
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Pro Deep Learning with TensorFlow - Santunu Pattanayak
An introduction to neural networks - Kevin Gurney & University of Sheffield
Pattern recognition and machine learning - Christopher M.Bishop
Neural Networks and Deep Learning - Charu C.Aggarwal
Learn Keras for Deep Neural Networks - Jojo Moolayil
Medical Image Segmentation Using Artificial Neural Networks
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
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Introduction to Scientific Programming with Python - Joakim Sundnes
Machine Learning with spark and python - Michael Bowles