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:

Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Python Deep Learning Cookbook - Indra den Bakker
Fundamentals of Deep Learning - Nikhil Bubuma
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
The hundred-page Machine Learning Book - Andriy Burkov
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning in Python - LazyProgrammer
Neural Networks - A visual introduction for beginners - Michael Taylor
Python Machine Learning - Sebastian Raschka
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning for Natural Language Processing - Jason Brownlee
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning with Python - Francois Chollet
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Machine Learning with Python for everyone - Mark E.Fenner
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
R Deep Learning Essentials - Dr. Joshua F.Wiley
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with PyTorch - Vishnu Subramanian
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Artificial Intelligence Project for Beginners - Joshua Eckroth