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:

Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Data Structures and Algorithms - Benjamin Baka
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Machine Learning with spark and python - Michael Bowles
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with Python - Francois Cholletf
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Introduction to Scientific Programming with Python - Joakim Sundnes
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Learn Keras for Deep Neural Networks - Jojo Moolayil
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Introduction to Deep Learning - Eugene Charniak
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning with Python - Francois Chollet
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning with Hadoop - Dipayan Dev
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Amazon Machine Learning Developer Guild Version Latest
Deep Learning with Theano - Christopher Bourez
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python Machine Learning - Sebastian Raschka
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Deep Learning Cookbook - Indra den Bakker
Fundamentals of Deep Learning - Nikhil Bubuma
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
R Deep Learning Essentials - Dr. Joshua F.Wiley
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...