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Machine learning pertains to the steps that a machine takes to gather information and use it for future use. When a machine takes in data, it eventually learns how to respond to the data and use the knowledge.
The three most common forms of robotic process automation around the world today include attended, unattended, and hybrid RPA.
The Algorithmic Accountability Act is a draft law first that would regulate the use of AI in business as it pertains to bias in software development.
Have you ever been hit with an unexpected paywall when reading an online article about a particular current event or topic of interest?
MIL refers to a supervised learning approach that focuses on training a machine learning model in accordance with large labeled data sets known as bags.
Ensemble learning refers to a machine learning approach that focuses on using multiple machine learning algorithms to achieve better predictive performance.
Multi-task machine learning refers to a deep learning approach that enables developers to create a single model that can solve multiple problems.
Four applications of edge computing in the current business landscape include the healthcare, retail, manufacturing, and transportation industries.
Four common applications of cloud computing in the business world today include PayPal, Slack, Google-G Suite, and Intuit QuickBooks.
Deep reinforcement learning is a technique that combines the framework of reinforcement learning with the power of artificial neural networks.
Four common applications of self-supervised ML in the current world of tech include natural language processing, self-driving cars, robotics, and healthcare.