Analytics Vidhya

SEPTEMBER 22, 2021

This article was published as a part of the Data Science Blogathon Introduction Before explaining the correlation and correlation metrics, I would like you to answer a simple question. The post Different Type of Correlation Metrics Used by Data Scientists appeared first on Analytics Vidhya.

Metrics 351

Metrics Data Science Sales Publishing 351

Analytics Vidhya

OCTOBER 11, 2020

The post HOW TO CHOOSE EVALUATION METRICS FOR CLASSIFICATION MODEL appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. INTRODUCTION Yay!! So you have successfully built your classification model. What should.

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Metrics Modeling Data Science Publishing 329

Analytics Vidhya

AUGUST 5, 2019

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.

Machine Learning 308

Machine Learning Metrics Modeling Analytics 308

CIO Business Intelligence

NOVEMBER 7, 2024

However, the metrics used to evaluate CIOs are hindering progress. While the CIO role has expanded significantly, the metrics used to evaluate their performance often remain tied to traditional IT values like cost management, operational efficiency, and system uptime. The CIO is no longer the chief of “keeping the lights on.”

Digital Transformation 128

Digital Transformation Metrics Measurement Key Performance Indicator 128

Analytics Vidhya

FEBRUARY 24, 2021

The post A Simple Guide to Metrics for Calculating String Similarity appeared first on Analytics Vidhya. ArticleVideo Book Introduction One of the applications of Natural Language Processing is auto-correction and spellings checks. All of us have encountered this that if.

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Metrics Analytics 317

Analytics Vidhya

MAY 21, 2021

The post Importance of Cross Validation: Are Evaluation Metrics enough? ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Model Building in Machine Learning is an important component of. appeared first on Analytics Vidhya.

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Metrics Machine Learning Data Science Publishing 305

Analytics Vidhya

JANUARY 27, 2022

The post Evaluation Metrics With Python Codes appeared first on Analytics Vidhya. Introduction The basic idea of building a machine learning model is to assess the relationship between the dependent and independent variables. In doing so, we need to optimize the model performance.

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Metrics Machine Learning Data Science Publishing 260

Analytics Vidhya

JUNE 21, 2021

The post Evaluate Your Model – Metrics for Image Classification and Detection appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Deep learning techniques like image classification, segmentation, object detection are used.

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Metrics Modeling Deep Learning Data Science 283

datapine

AUGUST 19, 2020

At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value. We will finish by presenting a business dashboard that will show how those metrics work together when depicting an inventory data-story. What Are Inventory Metrics?

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Metrics KPI Cost-Benefit Dashboards 286

Analytics Vidhya

OCTOBER 12, 2020

The post Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction Machine learning is about building a predictive model using historical data.

Machine Learning 306

Machine Learning Metrics Predictive Modeling Data Science 306

Analytics Vidhya

JULY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Evaluation Metrics for Classification Problem Image source ?[link] The post Metrics to Evaluate your Classification Model to take the right decisions appeared first on Analytics Vidhya. link] Abstract The most.

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Metrics Modeling Data Science Publishing 271

Analytics Vidhya

FEBRUARY 16, 2023

Unlike traditional AUC scores, partial AUC scores concentrate on a specific region of the ROC (Receiver Operating Characteristic) curve, offering a more detailed evaluation of the model’s […] The post Partial AUC Scores: A Better Metric for Binary Classification appeared first on Analytics Vidhya.

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Metrics Modeling Analytics Statistics 291

Analytics Vidhya

JULY 9, 2024

This powerful metric, called relative entropy or information gain, has become indispensable in various fields, from statistical inference to deep learning. Introduction Few concepts in mathematics and information theory have profoundly impacted modern machine learning and artificial intelligence, such as the Kullback-Leibler (KL) divergence.

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Machine Learning Metrics Deep Learning Statistics 255

datapine

OCTOBER 7, 2020

By establishing clear operational metrics and evaluate performance, companies have the advantage of using what is crucial to stay competitive in the market, and that’s data. Your Chance: Want to visualize & track operational metrics with ease? What Are Metrics And Why Are They Important?

KPI 269

KPI Metrics Sales Visualization 269

Analytics Vidhya

FEBRUARY 4, 2020

The post How to Create a Test Set to Approximate Business Metrics Offline appeared first on Analytics Vidhya. Introduction Most Kaggle-like machine learning hackathons miss a core aspect of a machine learning workflow – preparing an offline evaluation environment while building an.

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Metrics Testing Machine Learning Analytics 290

Analytics Vidhya

JANUARY 16, 2021

The post Python Code Performance Measurement – Measure the right metric to optimize better! ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Performance optimization is an important concern in any data science. appeared first on Analytics Vidhya.

Measurement 279

Measurement Metrics Optimization Data Science 279

datapine

FEBRUARY 14, 2021

That’s why it’s critical to monitor and optimize relevant supply chain metrics. Finally, we will show how to combine those metrics with the help of modern KPI software and create professional supply chain dashboards. Your Chance: Want to visualize & track supply chain metrics with ease? Cash-to-cash Time Cycle.

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Metrics KPI Dashboards Sales 260

datapine

JULY 6, 2022

1) What Are Productivity Metrics? 3) Productivity Metrics Examples. 4) The Value Of Workforce Productivity Metrics. What Are Productivity Metrics? Productivity metrics are measurements used by businesses to evaluate the performance of employees on various activities related to their general company goals.

Measurement 243

Measurement Metrics KPI Sales 243

datapine

OCTOBER 11, 2023

With the help of the right logistics analytics tools, warehouse managers can track powerful metrics and KPIs and extract trends and patterns to ensure everything is running at its maximum potential. Making the use of warehousing metrics a huge competitive advantage. That is where warehouse metrics and KPIs come into play.

Metrics 217

Metrics KPI Management Cost-Benefit 217

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. The data quality analysis metrics of complete and accurate data are imperative to this step. Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

Corinium

JANUARY 30, 2020

Ahead of her presentation at CDAO UK, we spoke with Quantum Metric’s Marina Shapira about predictive analytics, why companies should embrace a culture of experimentation how and CAOs and CXOs can work together effectively. What is behavioural research? And what role should it play in an organization's data and analytics strategy?

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Metrics Experimentation Predictive Analytics Strategy 300

Analytics Vidhya

FEBRUARY 29, 2024

Language models’ evaluation is crucial to validate their performance, quality and to ensure the production […] The post Quantitative Metrics Simplified for Language Model Evaluation appeared first on Analytics Vidhya.

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Metrics Modeling Analytics 162

CIO Business Intelligence

FEBRUARY 13, 2024

IT leaders are drowning in metrics, with many finding themselves up to their KPIs in a seemingly bottomless pool of measurement tools. There are several important metrics that can be used to achieve IT success, says Jonathan Nikols, senior vice president of global enterprise sales for the Americas at Verizon. Here they are.

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Metrics IT ROI Measurement 140

DataKitchen

NOVEMBER 5, 2024

Similarly, downstream business metrics in the Gold layer may appear skewed due to missing segments, which can impact high-stakes decisions. An operation to merge customer data across multiple sources might incorrectly aggregate records due to mismatched keys, leading to inflated or deflated metrics in the Silver layer.

Data Quality 198

Data Quality Testing Metrics Reporting 198

Analytics Vidhya

DECEMBER 7, 2024

Dashboards are the lifeblood of modern businesses, providing a clear, concise view of critical metrics. This article explores 20 diverse Power BI dashboard examples, showcasing how data can be transformed into actionable insights.

Dashboards 245

Dashboards Interactive Metrics Visualization 245

O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 363

Marketing Experimentation Metrics Testing 363

CIO Business Intelligence

DECEMBER 10, 2024

Specify metrics that align with key business objectives Every department has operating metrics that are key to increasing revenue, improving customer satisfaction, and delivering other strategic objectives. Below are five examples of where to start. Gen AI holds the potential to facilitate that.

Sales 143

Sales Metrics Data-driven Measurement 143

Analytics Vidhya

JULY 5, 2022

Introduction to Confusion Matrix In a situation where we want to make discrete predictions, we often wish to assess the quality of our model beyond simple metrics like the model’s accuracy, especially if we have many classes. This article was published as a part of the Data Science Blogathon.

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Metrics Data Science Publishing Modeling 367

Analytics Vidhya

SEPTEMBER 10, 2021

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. Well, for those who have moved from TF to PyTorch, we can say that the ignite […].

Testing 356

Testing Metrics Data Science Publishing 356

Analytics Vidhya

MARCH 16, 2023

New-age technologies like artificial intelligence and machine learning help drive greater efficiency and productivity and improve other business metrics. It is now the most critical factor determining the success of all business operations.

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Machine Learning Metrics Marketing Technology 352