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Machine Learning

A subset of artificial intelligence (AI), Machine Learning provides systems the ability to learn and improve from experience without being explicitly programmed automatically. This section focuses on new trends, predictions, computer models, and algorithms used in various applications, such as email filtering and computer vision.

Machine Vision

The history of Machine Vision – Timeline

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Machine vision is a technology that encompasses many engineering disciplines, including computer science, optics, mechanical engineering, and industrial automation. It uses image capture and...
Machine vision

Machine vision systems: 1D, 2D, and 3D

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Machine vision is a technology that automatically extracts information from digital images for process or quality control. Since it is better suited to repetitive...
anomaly detection

Six anomaly detection techniques – Pros and Cons

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Anomaly detection finds extensive use in various applications such as intrusion detection for cyber-security, fraud detection for credit cards, insurance, or health care, fault...

Top 15 machine learning startups to watch in 2021

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The acceleration of Artificial Intelligence (AI), led by new machine learning techniques, has led to a boom in the startup world, especially when the...

Strengths and weaknesses of ML methods in marketing

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In the last two decades, artificial intelligence (AI) and machine learning (ML) have significantly transformed fields such as biology, education, engineering, finance, and healthcare....
sports injury

Wearables in sports – Injury prediction and tracking for athletes

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Personal injuries are too common for both amateur and professional athletes worldwide. Yet, according to studies, a staggering $33B was spent treating sports injuries...

Dimensions (attributes) of data quality and their examples

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Data is the primary resource for all organizations to gain better insight into their business and market and make operational and tactical decisions faster...
Physics

Machine Learning in Physics – The power and promise

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Our ability to generate and analyze large data sets has increased dramatically over the last three decades. This “big data” revolution, spurred by an...

Machine learning in everyday life – Six common applications

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The term 'machine learning' is not one with high salience for the public. According to research by the Royal Society of London, only 9%...

Machine Learning applications: How to think about AI and your business

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We hear two common questions when talking with users who are new to the artificial intelligence (AI) space and looking to leverage AI in...