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:

Pattern recognition and machine learning - Christopher M.Bishop
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Learn Keras for Deep Neural Networks - Jojo Moolayil
Neural Networks - A visual introduction for beginners - Michael Taylor
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with PyTorch - Vishnu Subramanian
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
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Introduction to the Math of Neural Networks - Jeff Heaton
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Coding Theory - Algorithms, Architectures and Application
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Artificial Intelligence by example - Denis Rothman
Data Science and Big Data Analytics - EMC Education Services
Java Deep Learning Essentials - Yusuke Sugomori
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Medical Image Segmentation Using Artificial Neural Networks
Machine Learning with spark and python - Michael Bowles
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Machine Learning Eqution Reference - Sebastian Raschka