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The biggest enterprise technology M&A deals of the year

CIO Business Intelligence

Perforce already owns development tools such as Helix and the testing tools, including Perfecto and BlazeMeter. Test automation: Tricentis buys Testim. Software test automation vendor Tricentis has bought Testim, the developer of an AI-based SaaS test automation platform, to expand its continuous testing solutions.

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Why Data Driven Decision Making is Your Path To Business Success

datapine

As a direct result, less IT support is required to produce reports, trends, visualizations, and insights that facilitate the data decision making process. This is a testament to the importance of online data visualization in decision making. Data driven business decisions make or break companies. The proof is in the numbers.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

The platform was acquired by Salesforce in 2010 for over USD $200 million. 2010: Windows Azure is now Microsoft Azure (IaaS) aggressively trying to penetrate into the cloud market with a redefined strategy. The platform was acquired by Salesforce in 2010 for over USD $200 million. You can read more on IaaS, PaaS and SaaS here ].

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

It’s no surprise that rivals followed suit and that by 2010 analytics were widely used by top teams in leading international leagues. Heat map data visualizations have shown teams that keep possession of the ball and maintain high intensity are most likely to score goals and win games. Example of Sisense player performance dashboard.

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Density-Based Clustering

Domino Data Lab

Due to its importance in both theory and applications, this algorithm is one of three algorithms awarded the Test of Time Award at the KDD conference in 2014. To test out DBSCAN, I’m going to use a dataset consisting of annual customer data for a wholesale distributor. Application. astype("float32", copy = False).

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Real-Real-World Programming with ChatGPT

O'Reilly on Data

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

Often our data can be stored or visualized as a table like the one shown below. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). On each of the ten segments the random effects model yielded higher test-set log likelihoods and AUCs, and we display the results in the figure below.