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 Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Python Data Structures and Algorithms - Benjamin Baka
Learn Keras for Deep Neural Networks - Jojo Moolayil
Introduction to Deep Learning - Eugene Charniak
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Machine Learning with spark and python - Michael Bowles
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Medical Image Segmentation Using Artificial Neural Networks
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning in Python - LazyProgrammer
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Pattern recognition and machine learning - Christopher M.Bishop
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning for Natural Language Processing - Jason Brownlee
Deep Learning and Neural Networks - Jeff Heaton
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning with Python - Francois Cholletf
The hundred-page Machine Learning Book - Andriy Burkov
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Fundamentals of Deep Learning - Nikhil Bubuma
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Deep Learning Cookbook - Indra den Bakker
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj