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All Blog Posts Tagged 'dsc_analytics' (376)

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

Download book for data science beginners - Learn Data Science with R

The book …

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Added by Naryana Nemani on October 6, 2021 at 6:00pm — 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

SAP BW Data Mining Analytics: Process Reporting (Part 2)

Summary

SAP BW Data Mining serves as a process design platform for a wide variety of analyses either based on the  data mining methods (either supplied by SAP as built-in with SAP BW Data Mining or supplied by certified vendors), or based on “non-scientific” transformations (joins and unions of data tables, sorting and filtering of data,…

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Added by Sergey Lukyanchikov on September 20, 2021 at 10:30pm — No Comments

SAP BW Data Mining Analytics: Model Reporting (Part 1)

SAP BW Data Mining allows creating data mining models that implement respective analysis methods (either supplied by SAP as built-in with SAP BW Data Mining or supplied by certified vendors). Although analysis methods available via SAP BW Data Mining provide extensive reporting and visualizations, there could be a need for…

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Added by Sergey Lukyanchikov on September 15, 2021 at 4:00am — No Comments

How Businesses Are Using Data Analytics for Better Operational Efficiency

As the market gets more competitive with time, businesses are altering their strategies to sustain and cater to changing customer needs better. The present era customers have smartened up considerably! They know what they want, and luring them with glitzy ads and lofty marketing…

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Added by Imenso Software on September 13, 2021 at 1:30am — 1 Comment

Machine Learning Perspective on the Twin Prime Conjecture

This article focuses on the machine learning aspects of the problem, and the use of pattern recognition techniques leading to interesting, new findings about twin primes. Twin primes are prime numbers p such that p + 2 is also prime. For instance, 3 and 5, or 29 and 31. A famous, unsolved and old mathematical conjecture states that…

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Added by Vincent Granville on September 7, 2021 at 6:30am — No Comments

How To Differentiate a Dataset If It Has Normal Distribution

The distribution of data means the way the data gets spread out. This article talks about some essential concepts of the normal distribution:

  • How to measure normality…
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Added by Evan Morris on September 4, 2021 at 10:30pm — 2 Comments

​How Data Science and BI Is Revolutionizing the Sports Industry with Power BI

Nowadays, data has become very important in all industries, and that is why thousands of companies hailing from multiple sectors are resorting to data analytics tools. Using BI and data analysis tools can prove to be helpful for businesses in any sector, as it is. Even the sports sector can benefit a lot from the implementation of proper BI…

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Added by Imenso Software on August 26, 2021 at 10:30pm — No Comments

What is the most robust binary-classification performance metric?

Accuracy, F1, or TPR (a.k.a recall or sensitivity) are well-known and widely used metrics for evaluating and comparing the performance of machine learning based classification.

But, are we sure we evaluate classifiers' performance correctly? Are they or others such as BACC (Balanced Accuracy),…

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Added by Gürol Canbek on August 24, 2021 at 9:00pm — No Comments

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