This blog includes machine learning applications in Secondary Sector which is a continuation of the last blog post. Detailed below are some more machine learning applications in Secondary Sector: Construction Construction, engineering and management use artificial neural networks through predicting risk and optimization, classification and choice of resources. Some examples are training neural networks to […]
Four stages classify the industrial revolution. The first stage was mechanisation of production using water and steam power followed by mass production with the help of electricity. The next stage was a digital revolution with the use of electronics and information technology to automate further production. Industry 4.0 or ‘smart factory’ is the subsequent stage […]
Detailed below are some of the recent machine learning applications in primary sector of the economy. Machine Learning Applications in Primary Sector are as follows: Agriculture and Farming About 8000 B.C. ago, at the dawn of agriculture, the total number of living human beings on Earth was about 5 million. According to the United Nations, […]
Machine learning inspired systems are now being used in wide range of fields to solve a whole variety of problems. Machine learning facilitates the use of information to work smarter and not harder. Also, the history of machine learning is constantly changing and actively growing. Described below are some important events and research in artificial […]
Machine learning detects patterns in data, focuses on growth and adjusts when a new data exposes a computer programme. It is closely related to computational statistics and links to mathematical optimisation. It offers tools that apply to predict, classify and cluster problems. It cannot be applied to everything and the data computer analyses depend on […]