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Training and Testing Neural Networks on PyTorch using Ignite

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction With ignite, you can write loops to train the network in just a few lines, add standard metrics calculation out of the box, save the model, etc. The post Training and Testing Neural Networks on PyTorch using Ignite appeared first on Analytics Vidhya.

Testing 356
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Top Productivity Metrics Examples & KPIs To Measure Performance And Outcomes

datapine

1) What Are Productivity Metrics? 3) Productivity Metrics Examples. 4) The Value Of Workforce Productivity Metrics. Your Chance: Want to test a professional KPI tracking software? What Are Productivity Metrics? In shorter words, productivity is the effectiveness of output; metrics are methods of measurement.

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Deploying ML Models Using Kubernetes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […].

Modeling 346
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Top 18 Social Media KPIs & Metrics You Should Use For A Complete SM Strategy

datapine

Here, we’ll examine 18 essential KPIs for social media, explore the dynamics and demonstrate the importance of social metrics in the modern business age with the help of a KPI software , and, finally, wrapping up with tips on how to set KPIs and make the most of your social platforms. Let’s get going. What Are Social Media KPIs?

Metrics 219
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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. In this article, were going to share an emerging SDLC for LLM applications that can help you escape POC Purgatory.

Testing 174
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

6) Data Quality Metrics Examples. In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. We will go over them in the third part of this article. Table of Contents.

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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. When tied directly to strategic objectives, software delivery metrics become business enablers, not just technical KPIs. Complex ideas that remain purely verbal often get lost or misunderstood.