Analytics Vidhya

OCTOBER 11, 2020

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

Metrics 318

Metrics Modeling Data Science Publishing 318

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 147

Metrics Modeling Machine Learning Data Science 147

CIO Business Intelligence

NOVEMBER 29, 2022

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. c (Sydney), and Europe (London).

Machine Learning 109

Machine Learning Forecasting Recreation/Entertainment Metrics 109

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 270

Machine Learning Metrics Data Science Modeling 270

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 304

Data Science Metrics Machine Learning Publishing 304

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer.

Modeling 273

Modeling Machine Learning Metrics Testing 273

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

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 322

Metrics Data Science Publishing Modeling 322

Analytics Vidhya

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon The objective of any machine learning model is to understand and learn patterns from the data which can further be used to make predictions or answer questions or simply just understand the underlying pattern that is otherwise not evident candidly.

Modeling 261

Modeling Machine Learning Data Science Publishing 261

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 332

Management Machine Learning Experimentation Metrics 332

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon. Machine Learning tasks are mainly divided into three types Supervised Learning — […]. Introduction to Evaluation of Classification Model As the topic suggests we are going to study Classification model evaluation.

Data Science 262

Data Science Modeling Machine Learning Publishing 262

DataKitchen

OCTOBER 28, 2021

This article was originally published in Forbes. Authors of an article published by McKinsey Global Institute assert that “more human vigilance is needed to critically analyze the unfair biases that can become baked in and scaled by AI systems.” Data teams should formulate equity metrics in partnership with stakeholders.

Testing 130

Testing IT Manufacturing Metrics 130

IBM Big Data Hub

APRIL 9, 2024

” Watsonx.data uses machine learning (ML) applications to simulate data that represents ball positioning projections. “We can keep track of the model version we use, promote it to validation, and eventually deploy it to production once we feel confident that all the metrics are passing our quality estimates. .

Management 82

Management IT Machine Learning Metrics 82

Smart Data Collective

JANUARY 4, 2023

According to a study published in the Journal of the American Medical Association, electronic health records (EHRs) and other data-tracking systems can help reduce billing errors by up to 50%. These insights can help hospitalists track claim rejections, accounts receivable aging, and other metrics to create measurable improvement goals.

Technology 111

Technology Big Data Metrics Data-driven 111

DataRobot

FEBRUARY 10, 2021

Machine learning is a glass cannon. The promise and power of AI lead many researchers to gloss over the ways in which things can go wrong when building and operationalizing machine learning models. As a data scientist, one of my passions is to reproduce research papers as a learning exercise.

Modeling 98

Modeling Deep Learning Machine Learning Testing 98

Smart Data Collective

MAY 31, 2022

Machine learning and artificial intelligence (AI) have certainly come a long way in recent times. Towards Data Science published an article on some of the biggest developments in machine learning over the past century. A number of new applications are making machine learning technology more robust than ever.

Machine Learning 106

Machine Learning Cost-Benefit Data Processing Metrics 106

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Learn more artificial intelligence and machine learning tips on the DataRobot blog. Read the blog. Explainable AI for Transparent Decisions.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

Smart Data Collective

JULY 9, 2023

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

Analytics Vidhya

JUNE 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Restaurant Recommender This case study covers a very important business problem which is recommender systems. as we are in rapid consumption of content and commodities ordered by online delivery apps.

Data Science 355

Data Science Publishing Analytics Metrics 355

Analytics Vidhya

AUGUST 6, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hello folks, so this article has the detailed concept of. The post How KNN Uses Distance Measures? appeared first on Analytics Vidhya.

Measurement 328

Measurement Data Science Publishing Analytics 328

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . Given this context, how can financial institutions reap the benefits of modern machine learning approaches, while still being compliant to their MRM framework?

Risk 64

Risk Modeling Machine Learning Data Quality 64

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 127

Advertising Machine Learning Software Measurement 127

Smart Data Collective

JULY 20, 2022

Website views is a metric that you should always track because it’s a key indicator of your brand awareness and growth over time. Some companies find Creative Commons videos on YouTube and use machine learning algorithms to convert the sound into text to publish on their sites. You can use AI to generate new content.

Marketing 139

Marketing B2B Strategy Statistics 139

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

CIO Business Intelligence

MAY 28, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 118

Advertising Machine Learning Software Measurement 118

Analytics Vidhya

DECEMBER 16, 2020

This article was published as a part of the Data Science Blogathon. Introduction There are so many performance evaluation measures when it comes to. The post Decluttering the performance measures of classification models appeared first on Analytics Vidhya.

Measurement 282

Measurement Modeling Data Science Publishing 282

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. We work with the largest companies in the world to help tackle their most challenging ML problems.

Deep Learning 81

Deep Learning Machine Learning Forecasting Visualization 81

CIO Business Intelligence

JUNE 12, 2023

VAs make use of automation and a host of AI technologies like machine learning (ML), natural language processing (NLP), sentiment analysis, language translation, speech-to-text, intent recognition, and robotic process automation (RPA). Let’s look a bit closer at the metrics surrounding VA technology. What is a VA?

Interactive 98

Interactive Cost-Benefit Reporting Enterprise 98

Decision Management Solutions

MARCH 11, 2020

This means that understanding the structure of your decisions, tracking how you made them, mapping your decisions to business metrics and key performance indicators is essential. With a strong decision management platform in place, you can use what you learn to rapidly change and update your decision-making approach.

Key Performance Indicator 83

Key Performance Indicator Optimization Metrics Machine Learning 83

AWS Big Data

JANUARY 9, 2024

2023 was a year of rapid innovation within the artificial intelligence (AI) and machine learning (ML) space, and search has been a significant beneficiary of that progress. It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches.

Cost-Benefit 94

Cost-Benefit Visualization Modeling Machine Learning 94

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. There are a number of metrics that can be used to measure the performance of a system; they include accuracy, precision and F-score to name only three. We need to get to the root of the problem. Model Drift. Find out more.

Uncertainty 97

Uncertainty Measurement Metrics Risk 97

Cloudera

MARCH 3, 2022

In the 2020 O’Reilly Data Quality survey only 20% of respondents say their organizations publish information about data provenance or data lineage internally. What’s more, SDX provides access to the lineage, metadata, and metrics associated with data utilization across environments. From Bad to Worse.

Data Governance 96

Data Governance Enterprise Data Quality Metadata 96

CIO Business Intelligence

DECEMBER 28, 2022

Companies will be required to publish real numbers about sustainability across the supply chain—and much of the data will come from IT procurement.” With each new generation of the sophisticated applications companies have come to depend on—applications, such as machine learning and data analytics—compute requirements soar to new heights.

Reporting 117

Reporting Consulting Manufacturing Software 117

Smart Data Collective

MARCH 5, 2021

As a small business, it is natural to make accounts on social media and publish a couple of posts, but such efforts hardly get any results. You can use data analytics to split-test different subject lines and email copy, so that you can get the best possible engagement metrics. Leveraging Personalization and Segmentation.

Marketing 143

Marketing Data Analytics Analytics ROI 143

Smart Data Collective

FEBRUARY 14, 2023

We have talked about the impact that machine learning has had on website and app development. However, machine learning technology can also help solve Internet problems on a more granular level. Fortunately, machine learning technology shows some promise in addressing them.

Machine Learning 95

Machine Learning Internet Publishing and Broadcasting Broadcasting Cost-Benefit 95

Occam's Razor

MAY 2, 2017

There is no golden metric for everyone, we are all unique snowflakes! :). and tell you what are the best key performance indicators (metrics) for them. In the past I’ve shared a cluster of metrics that small, medium and large businesses can use as a springboard…. If you want to play along. Don’t read what I’ve chosen.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

CIO Business Intelligence

JUNE 21, 2023

New research published jointly between Pearson and ServiceNow found that AI is already affecting the tech skills needed for tomorrow’s work. Quantify the value: Use data and metrics to demonstrate the potential return on investment (ROI) of IT initiatives. Also spotlight the other side of ROI (return on ignorance).

Modeling 105

Modeling Cost-Benefit ROI Digital Transformation 105