David Millán Escrivá was eight years old when he wrote his first program on an 8086 PC with BASIC language, which enabled the 2D plotting of BASIC equations. He started with his computer development relationship and created many applications and games. In 2005, he completed his studies in IT from the Universitat Politécnica de Valencia with honors in human-computer interaction supported by Computer Vision with OpenCV (v0.96). He had a final project based on this subject and published it on HCI Spanish Congress. In 2014, he completed his Master's degree in artificial intelligence, computer graphics, and pattern recognition, focusing on pattern recognition and computer vision.

Mastering Machine Learning With Python In Six Steps About this Book Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. This book's approach is based on the "Six degrees of separation" theory, which states that everyone and everything is a maximum of six steps away. Mastering Machine Learning with Python in Six Steps presents each topic in two parts: theoretical concepts and practical implementation using suitable Python packages. You'll learn the fundamentals of Python programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as feature dimension reduction, regression, time series forecasting and their efficient implementation in Scikit-learn are also covered.

OpenCV Computer Vision Application Programming Cookbook Second Edition is your guide to the development of computer vision applications. The book shows you how to install and deploy the OpenCV library to write an effective computer vision application. Different techniques for image enhancement, pixel manipulation, and shape analysis will be presented. You will also learn how to process video from files or cameras and detect and track moving objects. You will also be introduced to recent approaches in machine learning and object classification.