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:

Medical Image Segmentation Using Artificial Neural Networks
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Amazon Machine Learning Developer Guild Version Latest
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Pattern recognition and machine learning - Christopher M.Bishop
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Learn Keras for Deep Neural Networks - Jojo Moolayil
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning with Theano - Christopher Bourez
R Deep Learning Essentials - Dr. Joshua F.Wiley
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
The hundred-page Machine Learning Book - Andriy Burkov
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning with PyTorch - Vishnu Subramanian
Neural Networks - A visual introduction for beginners - Michael Taylor
Data Science and Big Data Analytics - EMC Education Services
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Fundamentals of Deep Learning - Nikhil Bubuma
Intelligent Projects Using Python - Santanu Pattanayak
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Java Deep Learning Essentials - Yusuke Sugomori
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Deep Learning Cookbook - Indra den Bakker