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Business Analytics in Action: Driving Decisions with Data with Prof. Naveen Gudigantala by NW Chapter

Women in Big Data

Dr. Gudigantala presented the three waves of analyticstraditional business analytics (1970-2010), machine learning (2010-2022), and generative AI and AI agents (2022-present). A key insight from the workshop was the critical importance of proper problem definition and analytical problem formulation before diving into data analysis.

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Speaker Spotlight: Q&A With TU Wien’s Allan Hanbury – Data Natives Berlin 2016

Dataconomy

Data Natives Berlin speaker Allan Hanbury is Senior Researcher and Privatdozent at the TU Wien, Austria. Since 2010, he has coordinated EU-funded research and development projects on analysis and search of medical text and image data. This led to the recent founding of a start-up, ContextFlow, which is bringing the.

professionals

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

The structured dataset includes order information for products spanning from 2010 to 2017. This historical data will allow the function to analyze sales trends, product performance, and other relevant metrics over this seven-year period.

AWS 106
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34 new or updated datasets available on the Registry of Open Data on AWS

Flipboard

94-171) Noisy Measurement File (NMF) from United States Census Bureau 2010 Census Production Settings Demographic and Housing Characteristics (DHC) Demonstration Noisy Measurement File from United States Census Bureau 2010 Census Production Settings Redistricting Data (P.L.

AWS 100
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The Evolution of Tabular Data: From Analysis to AI

Towards AI

Tabular data has been around for decades and is one of the most common data types used in data analysis and machine learning. Traditionally, tabular data has been used for simply organizing and reporting information.

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Beyond the Checkered Flag: F1 Statistics Explored

Towards AI

Image by Author Tools The following tools were used to assist the data analysis process: Tableau: Used to create the visualizations. Analysis Image by Author The visualization clearly shows the history of F1, starting from the inaugural season of 1950 to the current season. Remove erroneous values.

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Quan Sun on finishing in second place in Predict Grant Applications

Kaggle

In 2009 and 2010, I participated the UCSD/FICO data mining contests. Based on the information and assumptions above, I decided to mainly use data points from 2007 and 2008 for training my classifiers, which turns out to be a reasonable choice. What tools I used Software/Tools used for modelling and data analysis: Weka 3.7.1