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:

Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Introduction to the Math of Neural Networks - Jeff Heaton
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Neural Networks and Deep Learning - Charu C.Aggarwal
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Data Structures and Algorithms - Benjamin Baka
Coding Theory - Algorithms, Architectures and Application
Machine Learning with spark and python - Michael Bowles
Pattern recognition and machine learning - Christopher M.Bishop
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning with Hadoop - Dipayan Dev
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Medical Image Segmentation Using Artificial Neural Networks
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Machine Learning Eqution Reference - Sebastian Raschka
Introduction to Deep Learning - Eugene Charniak
Learn Keras for Deep Neural Networks - Jojo Moolayil
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning and Neural Networks - Jeff Heaton
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili