DataKitchen

MAY 14, 2024

Data Observability and Data Quality Testing Certification Series We are excited to invite you to a free four-part webinar series that will elevate your understanding and skills in Data Observation and Data Quality Testing. Register for free today and take the first step towards mastering data observability and quality testing!

Data Quality 198

Data Quality Testing Metrics Measurement 198

Analytics Vidhya

MAY 1, 2024

They compared how these AI models and therapists responded to simulated therapy scenarios, focusing on […] The post GPT-4 Aces Therapy Test: A Glimpse into the Future of Mental Health appeared first on Analytics Vidhya.

Testing 284

Testing Modeling Analytics 284

Analytics Vidhya

OCTOBER 17, 2022

In the previous articles, we have gone through the introduction, MLOps pipeline, model training, model testing, model packaging, and model registering. We have seen how to train, test, package, and register […]. Introduction This article is part of blog series on Machine Learning Operations(MLOps).

Modeling 327

Modeling Machine Learning Testing Data Science 327

Analytics Vidhya

APRIL 24, 2024

Introduction In the world of machine learning, the trend toward smaller, more efficient models has grown significantly. These compact models are crucial for developers and researchers who need to run applications locally on devices with limited resources.

Modeling 281

Modeling Machine Learning Testing Analytics 281

Analytics Vidhya

JANUARY 20, 2022

Table of contents Introduction Multilevel Models Advantages of Multilevel models When do we use Multilevel Models Types of Multilevel Model Random intercept model Random coefficient model Hypothesis testing: Likelihood Ratio Testing End-Note Introduction Suppose, you have a dataset of faculty salaries of a university […].

Modeling 335

Modeling Testing Data Science Publishing 335

Analytics Vidhya

MARCH 2, 2023

Introduction Let me take you into the universe of chi-square tests and how we can involve them in Python with the scipy library. We’ll be going over the chi-square integrity of the fit test.

Testing 294

Testing Modeling Analytics Statistics 294

Analytics Vidhya

AUGUST 17, 2022

A team at Google Brain developed Transformers in 2017, and they are now replacing RNN models like long short-term memory(LSTM) as the model of choice for NLP […]. The post Test your Data Science Skills on Transformers library appeared first on Analytics Vidhya.

Testing 272

Testing Data Science Publishing Modeling 272

Analytics Vidhya

MARCH 5, 2024

The latest generation of the popular chatbot and AI model comes in three versions: Opus, Sonnet, and Haiku, each serving different markets and purposes. When they tested Claude 3 Opus, the biggest version, […] The post Claude 3 is Here! New AI Model Leaves OpenAI’s GPT-4 in the Dust appeared first on Analytics Vidhya.

Modeling 329

Modeling Testing Marketing Analytics 329

Analytics Vidhya

MAY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Logistic Regression, a statistical model is a very popular and. The post 20+ Questions to Test your Skills on Logistic Regression appeared first on Analytics Vidhya.

Testing 328

Testing Statistics Data Science Publishing 328

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 […]. The post Deploying ML Models Using Kubernetes appeared first on Analytics Vidhya.

Modeling 315

Modeling Machine Learning Metrics Testing 315

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. The post Training and Testing Neural Networks on PyTorch using Ignite appeared first on Analytics Vidhya.

Testing 302

Testing Metrics Data Science Publishing 302

O'Reilly on Data

JANUARY 9, 2024

We still rely on humans to test and fix the errors. With the current models, every time you generate code, you’re likely to get something different. How do you understand what the program is doing if it’s a different program each time you generate and test it? Bard even gives you several alternatives to choose from.)

Modeling 288

Modeling Software Testing Optimization 288

Analytics Vidhya

SEPTEMBER 28, 2022

First, you build software, test it for possible faults, and finally deploy it for the end user’s accessibility. The post Automate Model Deployment with GitHub Actions and AWS appeared first on Analytics Vidhya. The same can be applied to […].

Modeling 331

Modeling Testing Software Data Science 331

Analytics Vidhya

APRIL 14, 2022

Though in this article we will not only test the frontal face but also different angles of the image and see where our model will perform […]. The post Face Detection Using the DLIB Face Detector Model appeared first on Analytics Vidhya.

Modeling 305

Modeling Testing Data Science Publishing 305

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 124

Testing Reporting Risk Modeling 124

Analytics Vidhya

DECEMBER 22, 2021

This article was published as a part of the Data Science Blogathon Dear readers, In this blog, let’s build our own custom CNN(Convolutional Neural Network) model all from scratch by training and testing it with our custom image dataset.

Modeling 358

Modeling Data Science Testing Publishing 358

IBM Big Data Hub

SEPTEMBER 12, 2023

The UK government’s Ecosystem of Trust is a potential future border model for frictionless trade, which the UK government committed to pilot testing from October 2022 to March 2023. The models also reduce private sector customs data collection costs by 40%.

Testing 83

Testing Modeling Cost-Benefit Consulting 83

Analytics Vidhya

JUNE 14, 2022

Background on Flower Classification Model Deep learning models, especially CNN (Convolutional Neural Networks), are implemented to classify different objects with the help of labeled images. The models are trained with these images to great accuracy, tested, and then deployed for performance. For example, a […].

Modeling 239

Modeling Deep Learning Testing Data Science 239

DataKitchen

JULY 12, 2023

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. Syntax-Based Profiling and Testing : By profiling the columns of data in a table, you can look at values in a column to understand and craft rules about what is allowed for a column.

Data Quality 130

Data Quality Testing Manufacturing Finance 130

KDnuggets

JUNE 19, 2024

Perform data integrity tests and generate model evaluation reports by writing a few lines of code.

Testing 130

Testing Machine Learning Data Integration Reporting 130

Analytics Vidhya

JUNE 29, 2022

Source: Wikipedia In this article, we shall provide some background on how multilingual multi-speaker models work and test an Indic TTS model that supports 9 languages and 17 speakers (Hindi, Malayalam, Manipuri, Bengali, Rajasthani, Tamil, Telugu, Gujarati, Kannada). It seems a bit counter-intuitive […].

Modeling 242

Modeling Testing Data Science Publishing 242

Analytics Vidhya

JANUARY 11, 2021

Introduction The main objectives of a model validation include the testing. The post Validation of Classification Model appeared first on Analytics Vidhya. ArticleVideos This article was published as a part of the Data Science Blogathon.

Modeling 239

Modeling Testing Data Science Publishing 239

CIO Business Intelligence

JUNE 13, 2024

Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications. It is not training the model, nor are responses refined based on any user inputs.

Testing 119

Testing Experimentation Data Processing Modeling 119

KDnuggets

APRIL 12, 2023

John Snow Labs has learned a lot about testing and delivering Responsible NLP models: not only in terms of policies and goals, but by building day-to-day tools for data scientists. The nlptest library aims to share these tools with the open-source community.

Testing 77

Testing Modeling 77

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. We are also beginning to see researchers share sample code written in popular open source libraries, and some even share pre-trained models. Model development. Model governance. Source: Ben Lorica.

Modeling 195

Modeling Machine Learning Testing Metrics 195

Analytics Vidhya

OCTOBER 26, 2021

The modus operandi of this algorithm is that the training examples are being stored and when the test […]. The post kNN Algorithm – An Instance-based ML Model to Predict Heart Disease appeared first on Analytics Vidhya. It is a way of solving tasks of approximating real or discrete-valued target functions.

Modeling 285

Modeling Machine Learning Testing Data Science 285

Analytics Vidhya

MAY 9, 2024

Introduction Cross-validation is a machine learning technique that evaluates a model’s performance on a new dataset. It involves dividing a training dataset into multiple subsets and testing it on a new set. This prevents overfitting by encouraging the model to learn underlying trends associated with the data.

Machine Learning 311

Machine Learning Testing Modeling Analytics 311

KDnuggets

AUGUST 31, 2022

When building a predictive model, the quality of the results depends on the data you use. In order to do so, you need to understand the difference between training and testing data in machine learning.

Machine Learning 151

Machine Learning Testing Predictive Modeling Modeling 151

Analytics Vidhya

FEBRUARY 4, 2020

The post How to Create a Test Set to Approximate Business Metrics Offline appeared first on Analytics Vidhya. Introduction Most Kaggle-like machine learning hackathons miss a core aspect of a machine learning workflow – preparing an offline evaluation environment while building an.

Metrics 273

Metrics Testing Machine Learning Analytics 273

TDAN

JUNE 6, 2023

Business models are increasingly based on software applications. Implementing an optimized test data management program […] The world is in a digital revolution. IT is operating at a faster pace than ever before and has become a vital component of modern business.

Testing 75

Testing Optimization Software Management 75

Analytics Vidhya

FEBRUARY 3, 2024

The tech giant is testing a feature that leverages large language models (LLM) to provide detailed search results, catering to individual preferences and enhancing the overall user experience. Google Maps is set to revolutionize the way users explore and discover new places through its latest experiment with generative AI.

Testing 309

Testing Modeling Analytics IT 309