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 243

Metrics Machine Learning Data Science Publishing 243

Analytics Vidhya

OCTOBER 12, 2020

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

Machine Learning 296

Machine Learning Metrics Predictive Modeling Data Science 296

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Evaluation of Classification Model As the topic suggests we are going to study Classification model evaluation. The post Evaluating A Classification Model for Data Science appeared first on Analytics Vidhya.

Data Science 264

Data Science Modeling Machine Learning Publishing 264

DataKitchen

MARCH 16, 2023

But wait, she asks you for your team metrics. Where is your metrics report? What are the metrics that matter? Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

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 265

Modeling Machine Learning Data Science Publishing 265

CIO Business Intelligence

NOVEMBER 15, 2023

One vehicle might be an annual report, one similar to those that have been published for years by public companies—10ks and 10qs and all those other filings by which stakeholders judge a company’s performance, posture, and potential. Such a report has a legacy already, if only a short one. Such has been the pattern of history.

Publishing 121

Publishing Reporting IT Finance 121

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 272

Machine Learning Metrics Data Science Publishing 272

IBM Big Data Hub

AUGUST 28, 2023

Macmillan Publishers is a global publishing company and one of the “Big Five” English language publishers. They published many perennial favorites including Kristin Hannah’s The Nightingale , Bill Martin’s Brown Bear, Brown Bear, what do you see?

Publishing 52

Publishing Analytics Business Intelligence Operational Reporting 52

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. These needs are then quantified into data models for acquisition and delivery. Table of Contents. 1) What Is Data Quality Management?

Data Quality 241

Data Quality Metrics Data-driven Management 241

Analytics Vidhya

DECEMBER 16, 2020

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

Measurement 282

Measurement Modeling Data Science Publishing 282

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 327

Metrics Data Science Publishing Modeling 327

O'Reilly on Data

MAY 11, 2020

Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. To understand the menagerie of models that are fundamentally altering our individual and shared realities, we need to build a typology, a classification of their effects and impacts.

Modeling 188

Modeling Advertising Recreation/Entertainment Metrics 188

Cloudera

JULY 21, 2022

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Deploying metrics shouldn’t be so hard. Rill solves this with pipeline services and Rill Developer, a free SQL-based data modeler.

Metrics 85

Metrics Slice and Dice Data Warehouse Dashboards 85

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 297

Machine Learning Metrics Data Science Publishing 297

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 292

Machine Learning Metrics Data Science Publishing 292

Jet Global

MARCH 24, 2024

Non-profit metrics quantify the organization’s many endeavors in extending its impact on society. How to choose the right non-profit metrics? There are hundreds of metrics to choose from, and if they are not vetted properly, the organization could end up with too few or too many KPIs. What is a kpi?

Metrics 52

Metrics Reporting KPI Measurement 52

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 275

Testing Metrics Data Science Publishing 275

O'Reilly on Data

JUNE 15, 2023

The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line. If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved. The hand wringing soon began.

Metrics 280

Metrics Reporting Measurement Finance 280

DataRobot

FEBRUARY 10, 2021

Even if all the code runs and the model seems to be spitting out reasonable answers, it’s possible for a model to encode fundamental data science mistakes that invalidate its results. These errors might seem small, but the effects can be disastrous when the model is used to make decisions in the real world.

Modeling 98

Modeling Deep Learning Machine Learning Testing 98

CIO Business Intelligence

MAY 24, 2024

This was one area addressed in the HP-sponsored IDC whitepaper on the benefits of integrating managed device services, published in April 2024 [1]. Adopting a Managed Device Services model significantly reduces many of these end-of-life headaches and helps ensure compliance.

Management 94

Management IT Cost-Benefit Metrics 94

Occam's Razor

MAY 2, 2017

There is no golden metric for everyone, we are all unique snowflakes! :). That then takes us down the very best way to answer that question, to use the five-step process to build out the Digital Marketing and Measurement Model. and tell you what are the best key performance indicators (metrics) for them.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

Jet Global

JUNE 24, 2021

Non-profit metrics quantify the organization’s many endeavours in extending its impact on society. How to choose the right non-profit metrics? There are hundreds of metrics to choose from, and if they are not vetted properly, the organization could end up with too few or too many KPIs. What are non-profit KPIs?

Metrics 98

Metrics Reporting KPI Measurement 98

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

Jet Global

JUNE 24, 2023

Non-profit metrics quantify the organization’s many endeavours in extending its impact on society. How to choose the right non-profit metrics? There are hundreds of metrics to choose from, and if they are not vetted properly, the organization could end up with too few or too many KPIs. What are non-profit KPIs?

Metrics 52

Metrics Reporting KPI Measurement 52

O'Reilly on Data

APRIL 2, 2019

A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects. We are still in the early days for tools supporting teams developing machine learning models. Model governance.

Machine Learning 201

Machine Learning Modeling Data Science Software 201

Jet Global

NOVEMBER 2, 2021

KPIs are a select few metrics that provide insight on the operation of all entities contributing to the supply chain. Metrics help supply chain management track its progress in achieving its goals and respond quickly if needed. Measurable: Is your metric quantifiable? That’s where KPI monitoring comes into play.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

AWS Big Data

JULY 19, 2023

You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model. Amazon Redshift provides built-in features to accelerate the process of modeling, orchestrating, and reporting from a dimensional model. Declare the grain of your data.

Modeling 71

Modeling Sales Data Warehouse Snapshot 71

CIO Business Intelligence

FEBRUARY 7, 2024

Key AI companies have told the UK government to speed up its safety testing for their systems, raising questions about future government initiatives that too may hinge on technology providers opening up generative AI models to tests before new releases hit the public.

Testing 120

Testing Reporting Risk Modeling 120

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

AWS Big Data

MAY 1, 2024

Solution overview OneData defines three personas: Publisher – This role includes the organizational and management team of systems that serve as data sources. Use the latest data published by the publisher to update data as needed. Manage and guide metrics for the quality of data published by each publisher.

Dashboards 113

Dashboards Data-driven Publishing Cost-Benefit 113

Cloudera

OCTOBER 20, 2021

The Bank of England has taken a leadership position in publishing disclosures related to its own progress on climate-related initiatives. Transition : the changes in asset values, business models, etc. (ex. Mandated disclosures will create additional pressure on the accuracy and confidence of such models. .

Risk 80

Risk Modeling Risk Management Measurement 80

O'Reilly on Data

APRIL 23, 2024

Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model. Google, for example, invented the Large Language model architecture that underlies today’s disruptive AI startups. These companies did continue to innovate. Let’s not wait till the robber barons are back.

Advertising 265

Advertising Cost-Benefit Marketing Risk 265

DataKitchen

JANUARY 20, 2021

Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. With a standard metric supported by a centralized technical team, the organization maintains consistency in analytics. A centralized team can publish a set of software services that support the rollout of Agile/DataOps.

Metrics 243

Metrics Experimentation Measurement Testing 243

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “For the Masters we use 290 traditional AI models to project where golf balls will land,” says Baughman. ” Watsonx.ai ” Watsonx.ai

Management 82

Management IT Machine Learning Metrics 82

AWS Big Data

NOVEMBER 29, 2023

In 2022, AWS published a dbt adapter called dbt-glue —the open source, battle-tested dbt AWS Glue adapter that allows data engineers to use dbt for cloud-based data lakes along with data warehouses and databases, paying for just the compute they need. Models – dbt models are primarily written as a SELECT statement and saved as a.sql file.

Data Lake 105

Data Lake Management Metrics Data Warehouse 105

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. The process of creating models is called modeling.

Modeling 64

Modeling IT Risk Management Deep Learning 64