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:

R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning with PyTorch - Vishnu Subramanian
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Artificial Intelligence by example - Denis Rothman
Coding Theory - Algorithms, Architectures and Application
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Python - Francois Cholletf
Introduction to Deep Learning - Eugene Charniak
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Medical Image Segmentation Using Artificial Neural Networks
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Data Science and Big Data Analytics - EMC Education Services
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Data Structures and Algorithms - Benjamin Baka
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning in Python - LazyProgrammer
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar