Tue.Sep 06, 2022

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Visualizing Your Confusion Matrix in Scikit-learn

KDnuggets

Defining model evaluation metrics is crucial in ensuring that the model performs precisely for the purpose it is built. Confusion Matrix is one of the most popular and effective tools to evaluate the performance of the trained ML model. In this post, you will learn how to visualize the confusion matrix and interpret its output.

IT 135
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Implementing Kafka in the Payments PCI World

Afterpay Tech

Photo by Leon S on Unsplash By: Jing Li Summary This article articulates the challenges, innovation and success of the Kafka implementation in Afterpay’s Global Payments Platform in the PCI zone. To satisfy the PCI DSS requirements, we decided to use AWS PrivateLink together with custom Kafka client libraries (producer & consumer) to form the solutions for the Payments Platform.

Kafka 52
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8 Innovative BERT Knowledge Distillation Papers That Have Changed The Landscape of NLP

KDnuggets

All of the papers present a particular point of view of findings in the BERT utilization.

Utilities 112
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New Feature Recap: Data Lakehouse Support, Anomalous Row Distribution Monitors, and More! 

Monte Carlo

Our biggest priority at Monte Carlo is to make the lives of our customers easier by reducing data downtime and helping them accelerate the adoption of reliable data at their companies. As part of this mission, Monte Carlo’s product, engineering, design, and data science teams are constantly releasing new product functionalities and features to improve the user experience and reduce time to detection, resolution, and prevention of broken data pipelines.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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24 A/B Testing Interview Questions in Data Science Interviews and How to Crack Them

KDnuggets

Here’s everything you need to know about A/B testing interview questions in data science interviews.

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Arranging a Suite of Analytics for Hotel Data

Elder Research

The post Arranging a Suite of Analytics for Hotel Data appeared first on Elder Research.

Data 52

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Modern Data Architecture for Telecommunications

Cloudera

In the wake of the disruption caused by the world’s turbulence over the past few years , the telecommunications industry has come out reasonably unscathed. There remain challenges in workforce management, particularly in call centers, and order backlogs for fiber broadband and other physical infrastructure are being worked through. But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. .

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Leverage Accounting Principles when Modeling Financial Data

dbt Developer Hub

Analyzing financial data is rarely ever “fun.” In particular, generating and analyzing financial statement data can be extremely difficult and leaves little room for error. If you've ever had the misfortune of having to generate financial reports for multiple systems, then you will understand how incredibly frustrating it is to reinvent the wheel each time.

Finance 40