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All Blog Posts Tagged 'dsc_analytics' (383)

Making Informed Decisions in Imperfect Situations with Bayes’ Theorem – Part 2

In my blog “Making Informed Decisions in Imperfect Situations”, I discussed the importance of properly and objectively framing the decision that we seek to make and how that impacts the data that we gather (and ignore) in an effort to make an informed decision. That is:

Are you trying to gather data to determine the right decisions or are…

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Added by Bill Schmarzo on November 21, 2021 at 6:30am — No Comments

A New Class of Non-standard Probability Distributions

The probability distributions introduced in this article generalize what is known as infinite convolutions of centered Bernoulli or Rademacher distributions. Some of them are singular (examples are provided), and these probability distributions have an infinite number of parameters, resulting in unidentifiable models. There is an abundant…

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Added by Vincent Granville on November 14, 2021 at 11:30am — No Comments

Step by Step Guide to Build a Google Trends Scraper Using PyTrends

With more than 40.000 searches happening in Google per second, Google Trends is a powerful tool that allows us to visualize searching behavior and uncover trends in Web Search, Google News, Google Images, Google Shopping, and YouTube.

A sample of that size can provide a lot of insights to inform a business…

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Added by Zoltan Bettenbuk on November 12, 2021 at 12:30pm — No Comments

Small and Medium Sized Businesses (SMEs) Needs Self-Serve Advanced Analytics

If your small or medium-sized (SME) business is looking for ways to improve forecasting, problem-solving and market opportunities, it must have an agile, swift analytical process that will allow business users to leverage their…

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Added by Kartik Patel on November 12, 2021 at 12:00am — 1 Comment

5 Reasons To Use Power BI For Business Analytics

When you build a business with a vision to build the best product, it becomes immensely difficult to…

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Added by Imenso Software on November 7, 2021 at 11:00pm — 1 Comment

Fun Mathematical Problem in Stochastic Geometry: Random Triangles

This article is part of a series about fun problems, offered with solutions. The previous one can be found here. This new problem falls in a category called stochastic geometry. We define a random triangle as a triangle…

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Added by Vincent Granville on November 3, 2021 at 1:00pm — No Comments

Use Cases For High Density Region Estimators

High Density Region Estimator (HDRE)

HDRE Goals

1. Approximate any empirical distribution

2. Build a parameterized density estimator

3. Outlier detection and dataset noise reduction…



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Added by Rohan Kotwani on October 31, 2021 at 8:00am — No Comments

Covid: Predictions for the Next Ten Years

I am not a medical doctor, only a doctor in statistical science. Yet much of the political crisis has its origin rooted in data and statistical models: people who disagree, on either side, do so mostly because they disagree with the conclusions based on the opponent's data (accused of cherry-picking), or the validity of the data in question.…

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Added by Vincent Granville on October 30, 2021 at 2:30pm — 1 Comment

The Future of Pandemic Modeling

  • A hundred years of modeling didn't help forecast the extent of the current pandemic.
  • Hundreds of thousands of deaths could have been prevented with better models.
  • The quantitative economic epidemiological model may be the future for pandemic modeling.

Many countries, including the UK and US, mounted inefficacious…

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Added by Stephanie Glen on October 18, 2021 at 5:30am — No Comments

SAP BW Data Mining Analytics: Clustering Reporting (Part 4, final)

Summary

Clustering analysis is another standard method available with SAP BW Data Mining. The clustering models based on this method may apply various combinations of parameters (e.g., maximum number of clusters, minimum fraction of inter-cluster hops per iteration, etc.) in order to implement various…

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Added by Sergey Lukyanchikov on October 18, 2021 at 2:30am — No Comments

Do algorithms introduce bias or do they promote transparency?

Background

Every industry will be affected by algorithms and algorithmic bias. But we could rethink this as – Do algorithms introduce bias or do they introduce transparency?

 

An interesting paper illustrates this point. Assessing Algorithmic Biases for Musical Version…

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Added by ajit jaokar on October 17, 2021 at 11:30am — 1 Comment

Equivalence class clustering and bottom-up lattice traversal (ECLAT)

This article has been excerpted from my book, Models and Algorithms for Unlabelled Data.

Next time you visit a nearby grocery…

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Added by Vaibhav Verdhan on October 14, 2021 at 3:30pm — No Comments

Applications of Sentiment Analysis

What is Sentiment Analysis?

Sentiment analysis can be defined as analyzing the positive or negative sentiment of the customer in text. The contextual analysis of identifying information helps businesses understand their customers’ social sentiment by monitoring…

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Added by Mitul Makadia on October 13, 2021 at 1:00am — No Comments

PyHard – A tool to assess dataset quality and identify hard-to-classify instances in general

Picture Courtesy: Freepik

The article explains the algorithm behind the recently introduced Python package named PyHard,…

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Added by Kushal Mukherjee on October 8, 2021 at 1:00pm — 6 Comments

Retail Predictive Analytics: Popular Use Cases

There was a time when brick-and-mortar stores were the only face of retail. The system worked well too and everyone seemed happy. That is until technology came along and, well, changed everything. Of course, the retail sector, as well as its customers, have benefitted immensely from such technologies. Case in point: Predictive…

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Added by Ryan Williamson on October 8, 2021 at 2:30am — No Comments

Getting Started with Jupyter+IntelligentGraph

Since IntelligentGraph combines Knowledge Graphs with embedded data analytics, Jupyter is an obvious choice as a data analysts’ IntelligentGraph workbench. …

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Added by Peter Lawrence on October 2, 2021 at 12:30am — No Comments

A Gentle Introduction to Non-Parametric Tests

 

What are Non-parametric tests?



Most the statistical tests are optimal under various assumptions like independence, homoscedasticity or normality. However, it might not always be possible to guarantee that the data follows all these assumptions. Non-parametric tests are…

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Added by Kushal Mukherjee on September 29, 2021 at 11:30am — 1 Comment

SAP BW Data Mining Analytics: Regression Reporting (Part 3)

Summary

Regression analysis is one of the methods supplied “built-in” with SAP BW Data Mining. Based on this method regression models can be created and configured to satisfy specific analysis requirements (e.g., choice between linear or non-linear approximation, etc.). The method includes…

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Added by Sergey Lukyanchikov on September 28, 2021 at 9:30am — No Comments

Optimizing and Accelerating COVID-19 Predictive Modeling

The COVID-19 pandemic has wreaked havoc across the globe. As of July 30, 2021, nearly 197.5 million people have been infected with coronavirus, and 4.2 million people have died. The…

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Added by Benedict Timmerman on September 22, 2021 at 8:30am — 1 Comment

Optimizing and Accelerating COVID-19 Predictive Modeling

The COVID-19 pandemic has wreaked havoc across the globe. As of July 30, 2021, nearly 197.5 million people have been infected with coronavirus, and 4.2 million people have died. The…

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Added by Benedict Timmerman on September 22, 2021 at 5:30am — No Comments

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