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Top 5 Statistical Techniques in Python

Sisense

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. Statistics and programming go hand in hand. Mastering statistical techniques and knowing how to implement them via a programming language are essential building blocks for advanced analytics. Linear regression.

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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

What is the point of those obvious statistical inferences? The point is that the 100% association between the event and the preceding condition has no special predictive or prescriptive power. How do predictive and prescriptive analytics fit into this statistical framework?

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Assisted Predictive Modeling

Smarten

Create Citizen Data Scientists with Assisted Predictive Modeling! You need Assisted Predictive Modeling (Plug n’ Play Predictive Analysis with auto-suggestions and recommendations). The Plug and Play Predictive Analytics and predictive modeling platform is suitable for business users.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle. This defines the ROI on the investment of human time. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends.

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Essential skills and traits of chief AI officers

CIO Business Intelligence

And they should have a proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models. This includes skills in statistical analysis, data visualization, and predictive modeling. That helps them ensure that AI initiatives adhere to legal and ethical standards.

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Augmented Analytics Provides Benefits to Data Scientists!

Smarten

The organization looks for a solution that is easy enough for its business users and intuitive enough to produce clear results; one that also provides sophisticated functionality and features and will produce a suitable Return on Investment (ROI) and Total Cost of Ownership (TCO). That is time that could be spent on more strategic goals.

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What is Descriptive Statistics and How Do You Choose the Right One for Enterprise Analysis?

Smarten

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data.