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 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.

Metrics 271

Metrics Modeling Data Science Publishing 271

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

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 279

Measurement Metrics Optimization Data Science 279

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

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.

Metrics 260

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

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 Visualization Metrics 245

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 201

Metrics Modeling Machine Learning Data Science 201

datapine

JULY 3, 2019

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

Metrics KPI Strategy ROI 219

datapine

JUNE 7, 2021

However, very few know that an efficient way to do so is by tracking and managing the KPI metrics which would portray the SEO performance of your website. With these things in mind, here are some of the most important SEO metrics and KPIs that you should track for your website: Top 9 SEO Metrics To Track. Organic Traffic.

Metrics 205

Metrics Optimization KPI Visualization 205

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 349

Data Science Machine Learning Metrics Publishing 349

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

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 367

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

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

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 346

Modeling Machine Learning Metrics Testing 346

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 343

Machine Learning Metrics Data Science Publishing 343

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 328

Machine Learning Metrics Data Science Publishing 328

Analytics Vidhya

AUGUST 25, 2024

Evaluation is more than ticking off metrics; it’s about ensuring your model consistently performs in the wild. In this article, we’ll dive […] The post Are You Making These Common Mistakes in Classification Modeling? appeared first on Analytics Vidhya.

Modeling 290

Modeling Machine Learning Metrics Analytics 290

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 141

Data-driven Metrics Big Data Sales 141

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 134

Metrics Machine Learning 134

datapine

NOVEMBER 15, 2022

1) What Are Product Metrics? 2) Types Of Product Metrics. 3) Product Metrics Examples You Can Use. 4) Product Metrics Framework. The right product performance metrics will give you invaluable insights into its health, strength and weaknesses, potential issues or bottlenecks, and let you improve it greatly.

Metrics 141

Metrics KPI Measurement Dashboards 141

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 239

Metrics Analytics Machine Learning 239

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 142

Metrics Data Analytics Analytics Advertising 142

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 125

Dashboards Metrics Marketing Key Performance Indicator 125

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

O'Reilly on Data

NOVEMBER 19, 2024

For example, articles about former US vice president Al Gore might not discuss actor Tommy Lee Jones, although the two were roommates at Harvard and started a country band together. While RAG leverages nearest neighbor metrics based on the relative similarity of texts, graphs allow for better recall of less intuitive connections.

Unstructured Data 312

Unstructured Data Structured Data Modeling Statistics 312

datapine

FEBRUARY 4, 2020

Below, in the article, we’ve gathered some of the marketing reports templates that can easily be used to perfect the efficiency of generating data and reduce the time needed to create it. Structure your metrics. That way you can choose the best possible metrics for your case. Use professional software. 1) Marketing CMO report.

Reporting 280

Reporting Marketing Advertising Metrics 280

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 104

Forecasting Metrics Testing Modeling 104

O'Reilly on Data

MARCH 25, 2025

In this article, were going to share an emerging SDLC for LLM applications that can help you escape POC Purgatory. Business value : Once we have a rubric for evaluating our systems, how do we tie our macro-level business value metrics to our micro-level LLM evaluations? How do we do so? We tested both retrieval quality (e.g.,

Testing 168

Testing Data-driven Software Measurement 168

CIO Business Intelligence

JANUARY 14, 2025

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. This alignment sets the stage for how we execute our transformation.

Enterprise 119

Enterprise Technology Metrics Measurement 119

O'Reilly on Data

JUNE 9, 2020

I first learned about Emmanuel through articles on his blog. ) You need to define metrics that show how your system is performing, and whether you’re making progress. When I first met Emmanuel, three or four years ago, what impressed me wasn’t his expertise in building models—though he clearly had that. (I

Machine Learning 347

Machine Learning Metrics Modeling IT 347

KDnuggets

MARCH 11, 2025

By examining key metrics and methods to evaluate prompt quality and effectiveness, this article guides you towards achieving more accurate, relevant, and creative text-generation results.

Metrics 87

Metrics Measurement 87

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

Management 364

Management Experimentation B2B Machine Learning 364