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:

Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Machine Learning with Python for everyone - Mark E.Fenner
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Machine Learning - Sebastian Raschka
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Java Deep Learning Essentials - Yusuke Sugomori
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Machine Learning Eqution Reference - Sebastian Raschka
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Deep Learning with PyTorch - Vishnu Subramanian
An introduction to neural networks - Kevin Gurney & University of Sheffield
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning in Python - LazyProgrammer
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning with Python - Francois Cholletf
Fundamentals of Deep Learning - Nikhil Bubuma
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Data Science and Big Data Analytics - EMC Education Services
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
R Deep Learning Essentials - Dr. Joshua F.Wiley