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 Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
R Deep Learning Essentials - Dr. Joshua F.Wiley
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Deep Learning Cookbook - Indra den Bakker
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Data Science and Big Data Analytics - EMC Education Services
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning in Python - LazyProgrammer
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
The hundred-page Machine Learning Book - Andriy Burkov
Medical Image Segmentation Using Artificial Neural Networks
Learn Keras for Deep Neural Networks - Jojo Moolayil
Introduction to Deep Learning - Eugene Charniak
Introduction to the Math of Neural Networks - Jeff Heaton
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Python Data Structures and Algorithms - Benjamin Baka
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
An introduction to neural networks - Kevin Gurney & University of Sheffield
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Python Machine Learning - Sebastian Raschka
Deep Learning with Applications Using Python - Navin Kumar Manaswi