Assumptions Can Ruin Your K-Means Clusters

Clustering is one of the most powerful and widely used of the machine learning techniques. It’s very seductive. Throw some data into the algorithm and let it discover hitherto unknown relationships and patterns. K-means is the most popular of all the cluster algorithms. It’s easy to understand—and therefore implement—so it’s available in almost all analysis […]
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How to Use Heat Map in Automatic Data Optimization (ADO)

Heat Map and Automatic Data Optimization (ADO) Oracle Database 12c allows for activity tracking with Heat Map. This tool provides the ability to track and mark data as it goes through life cycle changes (see my previous blog on Information Lifecycle Management). Data accesses are tracked at the segment-level (table, index, etc.). Data modifications tracked at […]
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Introduction to Oracle Information Lifecycle Management (ILM)

What is Information Lifecycle Management (ILM)? Information Lifecycle Management (ILM) is the process of understanding, archiving and purging data. In short, it is a strategy for managing business data over its lifetime in order to reduce storage costs and improve data access within the database. Further, It is the practice of applying policies for the […]
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5 Machine Learning Books Worth Reading

Machine learning remains a hot topic as organizations attempt to squeeze insights and competitive advantage from their data sets. I’ve selected five books that may be of interest if you are embarking on a machine learning initiative or career. Obviously, there are much more great books out there and I’d like to hear your recommendations—recommendation […]
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5 Big Data Security Challenges

As interest in big data has exploded, organizations have rushed to grab competitive advantage by deploying analytics pipelines that exploit this newly available resource. Many projects have been set up in a “skunkworks” environment, often by data science teams. While this has accelerated the time to market for new features, it has created a potential […]
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