Applications in Secondary Sector
Machine Learning

Machine Learning applications in Secondary Sector-Part 2

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 study basic soil properties from…

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Applications in Secondary Sector
Machine Learning

Machine Learning applications in Secondary Sector-Part 1

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 facilitated by machine learning applications…

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Machine learning's current state
Machine Learning

A history of Machine Learning

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 intelligence to map out the…

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Machine learning's current state
Machine Learning

Overview of Machine Learning

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 the problem entirely. There are…

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