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:

Machine Learning with spark and python - Michael Bowles
Introduction to the Math of Neural Networks - Jeff Heaton
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Amazon Machine Learning Developer Guild Version Latest
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning and Neural Networks - Jeff Heaton
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning with Hadoop - Dipayan Dev
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
The hundred-page Machine Learning Book - Andriy Burkov
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning with Python - Francois Chollet
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning with Python - Francois Cholletf
Python Machine Learning - Sebastian Raschka
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...