Fighting Fraud

Internet fraud continues to be a menace in society, especially in healthcare and financial institutions. Many fintech companies have been victims of fraud. Detection of these attacks comes via two paths: through inconsistent traditional methods or using ever-growing artificial intelligence (AI) mechanisms. Entrepreneur brought this interesting information to us in their article, “How AI and Machine Learning…

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Using Machine Learning to Better the Environment

Many cities are looking at how they can employ emerging technologies like machine learning to improve the environment. Carbon reduction programs aimed at the business and residential building sectors are a top priority. Tech Explorist brought this interesting topic to our attention in their article, “Machine Learning can be used to improve energy use in…

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Training Data

Deep learning training is when a deep neural network learns how to analyze a predetermined set of data and make predictions about what it means. It involves a lot of trial and error, until the network is able to accurately draw conclusions based on the desired outcome. Constructing training data sets for deep learning models involves…

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Changing the Rules

Artificial intelligence (AI) has been a game-changer for all industries. Businesses are using AI tools to automate processes, improve decision-making, and gain a competitive edge. AI is transforming the way businesses approach governance, risk, and compliance tasks as well as security operations. This interesting information came to us from ISACA in their article, “The Urgent…

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Explaining the Technology

Researchers are striving to improve the interpretability of features so decision makers will be more comfortable using the outputs of machine learning models. They have developed a taxonomy to help developers craft features that will be easier for their target audience to understand. This interesting information came to us from Science Daily in their article,…

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Engaging Algorithms for Predictive Analytics

When it comes to machine learning algorithms, your predictions are only as good as your data. And if you aren’t using the right data, you aren’t setting your models up for success. This interesting topic came to us from KD Nuggets in their article, “The Difference Between Training and Testing Data in Machine Learning.” When…

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Developing Technologies

Deep learning and artificial intelligence (AI) are rapidly evolving fields with new technologies emerging constantly. There are new applications for these technologies being developed on a daily basis. There are also variations on these technologies as well. This interesting information came to us from CoinTelegraph in their article, “5 emerging trends in deep learning and…

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Understanding the Technology with the Technology

Machine learning models are growing in complexity and researchers are improving models that have trouble understanding decisions. This interesting subject came to us from RT Insights in their article, “MIT Researchers Create Explanation Taxonomy to ML Models.” In finance, healthcare, and logistics, businesses are attempting to implement artificial intelligence (AI) in their decision making processes, but…

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The Science of Learning

Data science, data analytics, and machine learning are terms that are often used interchangeably when talking about making sense of big data. But this is wrong. Data science is a field that studies data and how to extract meaning from it, whereas machine learning is a field devoted to understanding and building methods that utilize data to improve…

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Understanding Technology

Machine learning models are growing in complexity and researchers are improving models that have trouble understanding decisions. This interesting subject came to us from RT Insights in their article, “MIT Researchers Create Explanation Taxonomy to ML Models.” In finance, healthcare, and logistics, businesses are attempting to implement artificial intelligence (AI) in their decision-making processes but are…

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