Analytics Vidhya

MAY 21, 2021

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. The post Importance of Cross Validation: Are Evaluation Metrics enough? appeared first on Analytics Vidhya.

Metrics 262

Metrics Machine Learning Data Science Publishing 262

Analytics Vidhya

JUNE 21, 2021

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. The post Evaluate Your Model – Metrics for Image Classification and Detection appeared first on Analytics Vidhya.

Metrics 226

Metrics Modeling Deep Learning Data Science 226

Analytics Vidhya

OCTOBER 12, 2020

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

Machine Learning 291

Machine Learning Metrics Predictive Modeling Data Science 291

IBM Big Data Hub

MAY 7, 2024

In this article, we will discuss why observing microservice applications on Kubernetes is crucial and several metrics that you should focus on as part of your observability strategy. Why should you observe microservice health running on Kubernetes and what are the Kubernetes metrics you should monitor?

Metrics 77

Metrics Measurement Optimization Data Processing 77

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?

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

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

JANUARY 16, 2021

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

Measurement 216

Measurement Metrics Optimization Data Science 216

Analytics Vidhya

MAY 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine Learning is a branch of Artificial Intelligence. The post Know The Best Evaluation Metrics for Your Regression Model ! It contains. appeared first on Analytics Vidhya.

Metrics 143

Metrics Modeling Machine Learning Data Science 143

datapine

AUGUST 14, 2020

A customer retention dashboard and metrics depicted in a neat visual will help you in monitoring, analyzing, and managing multiple customer-centric points and how they echo in your business. But first, let’s start with a basic definition. Try our professional dashboard software for 14 days, completely free!

Dashboards 176

Dashboards Metrics B2B Visualization 176

datapine

SEPTEMBER 29, 2022

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.

Data Quality 241

Data Quality Metrics Data-driven Management 241

KDnuggets

OCTOBER 13, 2022

In this article, I will be going through 4 common classification metrics: Accuracy, Precision, Recall, and ROC in relation to Logistic Regression.

Metrics 122

Metrics Machine Learning 122

Smart Data Collective

FEBRUARY 22, 2022

Keep reading to learn more about the metrics that data-driven online stores are prioritizing. Metrics Analytics-Driven E-Commerce Companies Focus On. Google Analytics has some metrics that can help you estimate your customer retention rate. This is one of the easiest metrics to evaluate with the right analytics tools.

Data-driven 130

Data-driven Metrics Sales Big Data 130

Jedox

JULY 6, 2021

This is done by calculating suitable error metrics. An error metric is a way to quantify the performance of a model and provides a way for the forecaster to quantitatively compare different models 1. A friendly warning: This involves some math, which is necessary to explain how these metrics work. Mean Absolute Error (MAE).

Forecasting 103

Forecasting Metrics Testing Modeling 103

Jet Global

JANUARY 8, 2021

An Operations Key Performance Indicator (KPI) or metric is a discrete measurement that a company uses to monitor and evaluate the efficiency of its day-to-day operations. Why Your Company Should Be Using Operational Metrics to Stay Competitive. This allows management to quickly make informed decisions that are backed up by data.

Metrics 131

Metrics Manufacturing Reporting KPI 131

Andrew White

APRIL 5, 2019

An oft heard inquiry from clients is, “What is the right metric to use?” In all cases the assumption is that there is a definitive metric or key performance indicator (KPI). Such initiatives sought to provide an aligned set of metrics for all the major activities in an organization. Were there many proof points of success?

Metrics 80

Metrics Key Performance Indicator KPI Marketing 80

Analytics Vidhya

AUGUST 3, 2022

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

Data Science 318

Data Science Metrics Machine Learning Publishing 318

Smart Data Collective

MARCH 5, 2021

This metric identifies when someone only views one page of your website before navigating away. However, if someone visits your site and reads a full article or signs up for your newsletter, that’s not really a failure at all. The next important metric to pay attention to are your traffic sources. Exit Pages.

Metrics 129

Metrics Data Analytics Analytics Advertising 129

Smart Data Collective

JUNE 25, 2021

In this day and age, all businesses must pay especially close consideration to the performance of their marketing metrics dashboard. Key performance indicators are the most crucial metrics that serve as a compass for navigating the path forward on every marketing road map. Most of the time, they are external and internal.

Dashboards 93

Dashboards Metrics Marketing Key Performance Indicator 93

Timo Elliott

JANUARY 18, 2022

And because you can’t manage what you don’t measure, that requires metrics. But what metrics? I helped write this article on SAP Insights , with some thoughts and examples of innovation KPIs. Innovation Metrics: Figure Out Which Projects to Pursue. My favorite?

Metrics 59

Metrics Measurement Management Digital Transformation 59

Analytics Vidhya

JULY 5, 2022

This article was published as a part of the Data Science Blogathon. 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.

Metrics 342

Metrics Data Science Publishing Modeling 342

datapine

MARCH 22, 2019

Read here how these metrics can drive your customers’ satisfaction up! Customer satisfaction metrics evaluate how the products or services supplied by a company meet or surpass a customer’s expectations. Exclusive Bonus Content: Get our short guide to CES and NPS! Without further ado, let’s get going. But why?

Metrics 134

Metrics Dashboards Measurement Interactive 134

Analytics Vidhya

NOVEMBER 25, 2022

This article was published as a part of the Data Science Blogathon. Source:pixabay.com Introduction State-of-the-art machine learning models and artificially intelligent machines are made of complex processes like adjusting hyperparameters and choosing models that provide better accuracy and the metrics that govern this behavior.

Machine Learning 288

Machine Learning Metrics Data Science Modeling 288

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 312

Machine Learning Metrics Data Science Publishing 312

Analytics Vidhya

NOVEMBER 26, 2021

This article was published as a part of the Data Science Blogathon. 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.

Machine Learning 306

Machine Learning Metrics Data Science Publishing 306

Analytics Vidhya

JANUARY 28, 2022

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 291

Modeling Machine Learning Metrics Testing 291

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 288

Testing Metrics Data Science Publishing 288

O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? 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. Agreeing on metrics. Identifying the problem.

Marketing 362

Marketing Experimentation Metrics Testing 362

Jet Global

OCTOBER 5, 2021

How to Identify the Right Pharmaceutical Metrics. A good KPI program doesn’t need a large quantity of metrics. It needs a dedicated team that diligently tracks and reviews a few vital metrics. Research has shown that the most effective KPI programs have a holistic approach and include metrics from all sectors of a business.

Metrics 52

Metrics Reporting KPI Measurement 52

Domino Data Lab

OCTOBER 16, 2019

This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability, consistency and performance in the future. Many thanks to Don Miner for collaborating with Domino on this article. This is beyond the traditional metric of “is the model working?

Metrics 49

Metrics Modeling Machine Learning Measurement 49

Analytics Vidhya

JULY 15, 2020

Overview As I had promised in my previous article, now, it’s time to complete our discussion on evaluation metrics for classification problems. The post Limitations of AUC-ROC technique appeared first on Analytics Vidhya.

Metrics 174

Metrics Analytics Machine Learning 174

Jet Global

MAY 15, 2020

Tracking real estate industry metrics is crucial to your organization’s success. The post Infographic: Optimal Real Estate, Property Management, and Investment Metrics appeared first on insightsoftware. Our infographic shares more about the state of the industry and how you can prepare for what comes next. Ready to learn more?

Metrics 59

Metrics Optimization Management Uncertainty 59

Andrew White

JUNE 9, 2019

The article was titled, A Dearth of Data Helped Hong Kong Succeed , and it was written by Jairaj Devadiga. The article explains an odd fact that Hong Kong’s economic policy management during a period of high growth was correlated with a lack of central (e.g. I found the article most stimulating for a number of reasons.

Measurement 74

Measurement Metrics Marketing Data-driven 74

Jet Global

JUNE 5, 2020

An insurance Key Performance Indicator (KPI) or metric is a measure that an insurance company uses to monitor its performance and efficiency. Insurance metrics can help a company identify areas of operational success, and areas that require more attention to make them successful. This insurance metric helps gauge two different aspects.

Insurance 59

Insurance Metrics Reporting KPI 59

Jet Global

JULY 8, 2020

A distribution Key Performance Indicator (KPI) or metric is a measure that a company in the distribution sector uses to monitor its performance and efficiency. These metrics help companies identify areas of operational success and failure through measuring specific quantifiable aspects of their business.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52

CIO Business Intelligence

MAY 8, 2024

A recent article in The Washington Post aptly titled, “The AI hype bubble is deflating. The reality is that the Return on AI still depends on traditional metrics: cost savings and revenue generation. Artificial Intelligence, ROI and Metrics How do we get there?

Metrics 104

Metrics Data-driven ROI Marketing 104

datapine

APRIL 13, 2021

In this article, we will cover every fundamental aspect to take advantage of agency analytics. As with any other business out there, agencies manage big amounts of data in the form of surveys, social media metrics, website performance, or any other information related to their client’s goals. click to enlarge**.

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

DataKitchen

FEBRUARY 23, 2024

Webinar: Beyond Data Observability: Personalization DataKitchen DataOps Observability Problem Statement White Paper: ‘Taming Chaos’ Technical Product Overview Four-minute online demo Detailed Product: Documentation Webinar: Data Observability Demo Day DataKitchen DataOps TestGen Problem Statement White Paper: ‘Mystery Box Full Of Data Errors’ (..)

Testing 120

Testing Data-driven Metrics Data Quality 120