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:

Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning with PyTorch - Vishnu Subramanian
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning for Natural Language Processing - Jason Brownlee
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Learn Keras for Deep Neural Networks - Jojo Moolayil
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Introduction to the Math of Neural Networks - Jeff Heaton
Python Machine Learning Eqution Reference - Sebastian Raschka
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning with Python - Francois Cholletf
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Coding Theory - Algorithms, Architectures and Application
Artificial Intelligence by example - Denis Rothman
Machine Learning with Python for everyone - Mark E.Fenner
Data Science and Big Data Analytics - EMC Education Services
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with Theano - Christopher Bourez
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning with Python - Francois Chollet
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach