Analytics Vidhya

OCTOBER 7, 2020

This article was published as a part of the Data Science Blogathon. The post Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique appeared first on Analytics Vidhya. Introduction The article covers the use of Generative Adversarial Networks (GAN), an.

Modeling 296

Modeling Data Science Publishing Analytics 296

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. Transformer models take applications such as language translation and chatbots to a new level.

Unstructured Data 142

Unstructured Data Modeling Machine Learning Data mining 142

CIO Business Intelligence

APRIL 27, 2022

This is no difference in the development of AI models, where initial results may lead teams down a new path that requires a rethinking of their AI infrastructure. “AI Models drift over time because the data that fuels them changes over time. AI is never one and done,” said Tony Paikeday, senior director of AI systems at NVIDIA.

Modeling 52

Modeling Advertising Unstructured Data Cost-Benefit 52

Analytics Vidhya

JUNE 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Yes, it’s true!! Now, object detection models can be done with. The post Simplest way to do Object Detection on custom datasets appeared first on Analytics Vidhya.

Data Science 283

Data Science Publishing Modeling Analytics 283

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Machine Learning 71

Machine Learning Optimization Unstructured Data Sales 71

Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction VGG- Network is a convolutional neural network model proposed by. The post Build VGG -Net from Scratch with Python! appeared first on Analytics Vidhya.

Data Science 174

Data Science Publishing Modeling Analytics 174

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. For instance, a parsing model could identify the subject, verb and object of a complete sentence. Topic modeling: Topic modeling aims to discover underlying themes and/or topics in a collection of documents.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

bridgei2i

OCTOBER 7, 2020

Importance of capturing market data for optimized pricing models. Underwriting essentially means evaluating the risk proposition of an insurance cover and determining how much an insurer should charge for the same by studying historical data and statistical models. if all the information is provided by client or not).

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. What Are Modeling Tools? Importance of Modeling Tools. Types of Modeling Tools.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

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. What Is Modeling?

Modeling 64

Modeling IT Risk Management Deep Learning 64

IBM Big Data Hub

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? That’s where the foundation model enters the picture.

Modeling 59

Modeling Cost-Benefit Data Lake Machine Learning 59

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . DevOps Infrastructure Tools.

Testing 307

Testing Machine Learning Consulting Data Quality 307

IBM Big Data Hub

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more.

Unstructured Data 82

Unstructured Data Deep Learning Cost-Benefit Modeling 82

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

DataRobot

DECEMBER 16, 2021

It is precisely because of the large volume and complexities of navigating unstructured data that DataRobot has focused on assisting our users to unlock insights from text. Use DataRobot’s intelligent AutoML in either supervised or unsupervised modes with your text data (and combine them with other types of data!)

Experimentation 98

Experimentation Unstructured Data Deep Learning Modeling 98

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105