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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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.

Metrics 260

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.

Machine Learning 255

Machine Learning Metrics Deep Learning Statistics 255

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.

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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.

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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.

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Metrics KPI Management Cost-Benefit 217

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

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

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?

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Data Quality Metrics Data-driven Management 241

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

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.

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Marketing Experimentation Metrics Testing 363

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.”

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Digital Transformation Metrics Measurement Key Performance Indicator 128

CIO Business Intelligence

DECEMBER 5, 2024

Many organizations have launched dozens of AI proof-of-concept projects only to see a huge percentage fail, in part because CIOs don’t know whether the POCs are meeting key metrics, according to research firm IDC. Many POCs appear to lack clear objections and metrics, he says.

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Metrics Uncertainty Consulting KPI 124

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 […].

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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.

Machine Learning 352

Machine Learning Metrics Marketing Technology 352

Analytics Vidhya

AUGUST 3, 2022

Introduction Previous articles on this data science interview series have discussed interview questions related to Regression Analysis, Classification Metrics, and Ensemble Approaches. This article was published as a part of the Data Science Blogathon. Moreover, We will use […].

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Data Science Machine Learning Metrics Publishing 349

Analytics Vidhya

OCTOBER 22, 2021

This article was published as a part of the Data Science Blogathon Introduction Working as an ML engineer, it is common to be in situations where you spend hours to build a great model with desired metrics after carrying out multiple iterations and hyperparameter tuning but cannot get back to the same results with the […].

Machine Learning 348

Machine Learning Metrics Data Science Publishing 348

Analytics Vidhya

MARCH 7, 2024

While ChatGPT, developed by OpenAI, stands as a titan in conversational AI, “Perplexity” pertains more to a performance metric used in evaluating language models. Introduction In artificial intelligence, particularly in natural language processing, two terms often come up: Perplexity and ChatGPT.

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Metrics Modeling Analytics Deep Learning 317

Analytics Vidhya

JANUARY 28, 2022

The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […]. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer.

Modeling 346

Modeling Machine Learning Metrics Testing 346

Analytics Vidhya

NOVEMBER 26, 2021

We will train various classification models and compare the performance metrics to extract useful insights. In this post, we will discuss the sentiment analysis problem. We have taken the Twitter US airline sentiment dataset for this empirical study. Twitter US Airline Sentiment dataset: […].

Machine Learning 343

Machine Learning Metrics Data Science Publishing 343

Analytics Vidhya

JULY 25, 2024

The trip begins with a straightforward concept: a flexible RAG evaluation tool that can manage a variety of metrics and edge circumstances. Introduction Imagine that you are about to produce a Python package that has the potential to completely transform the way developers and data analysts assess their models.

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