Click to learn more about author Kartik Patel. This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. What Is Spearman’s Rank Correlation? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease […]
Slides: How AI Makes Analytics More Human
Slides: How AI Makes Analytics More Human from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> This webinar is sponsored by: About the Webinar People think AI makes analytics less human, replacing human decision making. But the truth is, AI actually makes analytics more human. Augmented analytics are helping organizations finally […]
Webinar: How AI Makes Analytics More Human
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar People think AI makes analytics less human, replacing human decision making. But the truth is, AI actually makes analytics more human. Augmented analytics are helping organizations finally break through the low levels of adoption and limitations typical of […]
Fundamentals of Self-Service Business Intelligence
It’s clear that there is considerable recent market movement towards self-service business intelligence (SSBI) in the numerous vendor offerings available. There is also a growing concern among the Data Science community that ordinary business users may misunderstand or misinterpret the available data, leading to incorrect results. Experienced data scientists have a tremendous ability to analyze, […]
Slides: Using Analytics and Fraud Management To Increase Revenues and Differentiate Yourself From the Competition
Slides: Using Analytics and Fraud Management To Increase Revenues and Differentiate Yourself From the Competition from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> This webinar is sponsored by: About the Webinar Fraud has many costs to a business, not only in terms of real dollars lost, but also in […]
Webinar: Using Analytics and Fraud Management To Increase Revenues and Differentiate Yourself From the Competition
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Fraud has many costs to a business, not only in terms of real dollars lost, but also in draining company resources investigating and prosecuting fraud and in reputational damage. For these reasons alone, companies should put systems […]
Scaling Machine Learning Applications
When the number of users for a predictive model grows, it is expected (albeit often wrongly) that the machine learning powered systems will automatically scale to keep up with this growth. If the system fails to scale, processing requirements may outpace performance. Using an example from a LinkedIn article, a sample recommender system fails to […]
ADV Webinar: Comparing the Enterprise Analytic Solutions
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Data is the foundation of any meaningful corporate initiative. Fully master the necessary data, and you’re more than halfway to success. That’s why leverageable (i.e., multiple use) artifacts of the enterprise data environment are so critical to […]
ADV Slides: Comparing the Enterprise Analytic Solutions
ADV Slides: Comparing the Enterprise Analytic Solutions from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> This webinar is sponsored by: About the Webinar Data is the foundation of any meaningful corporate initiative. Fully master the necessary data, and you’re more than halfway to success. That’s why leverageable (i.e., multiple […]
So You Want to be a Machine Learning Engineer?
Ideally, a machine learning engineer would have both the skills of a software engineer and the experience of a data scientist and data engineer. However, data scientists and software engineers usually come from very different backgrounds, and data scientists should not be expected to be great programmers, nor should software engineers be expected to provide […]