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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

Common machine learning algorithms for supervised learning include: K-nearest neighbor (KNN) algorithm : This algorithm is a density-based classifier or regression modeling tool used for anomaly detection. Regression modeling is a statistical tool used to find the relationship between labeled data and variable data.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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The most valuable AI use cases for business

IBM Big Data Hub

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Generative AI can produce high-quality text, images and other content based on the data used for training.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

What is data science? Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. This post will dive deeper into the nuances of each field.

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5 misconceptions about cloud data warehouses

IBM Big Data Hub

In addition, companies have complex data security requirements. To mitigate these complexities, organizations should evaluate whether a hybrid-cloud version of their existing data warehouse vendor can satisfy their use cases, before considering a move to a different platform.

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Spigraph, Everteam & ImageFast Provide Critical Information Governance Solutions to European Market

Everteam

Much of this information is dark content hidden in silos across the organization including file shares, cloud-based collaboration tools such as SharePoint, Office 365 and Google Drive, as well as a range of business applications. It’s critical to organize, classify and manage properly, ensuring it adheres to defined retention policies.

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Preparing for Litigation Before it Happens: eDiscovery Best Practices, Part Two

eDiscovery Daily

And as a side note, for these same reasons and several others, the most important reason being that a DMS will change metadata when documents from outside the DMS are imported into it, a DMS is also not a good eDiscovery tool. Ensuring compliance with laws and regulations that govern data, such as the Sarbanes-Oxley Act or HIPAA.

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