Machine Learning, Predictive Modeling and Structured Data

Machine Learning

Predictive Modeling

Structured Data

Introduction to Linear Predictive Models – Part 2

Analytics Vidhya

JULY 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Welcome readers to Part 2 of the Linear predictive model series. The post Introduction to Linear Predictive Models – Part 2 appeared first on Analytics Vidhya.

Predictive Modeling

Predictive Modeling Modeling Data Science Publishing

Machine Learning Paradigms with Example

Analytics Vidhya

JULY 25, 2022

Introduction Let’s have a simple overview of what Machine Learning is. Machine Learning is the method of teaching computer programs to do a specific task accurately (essentially a prediction) by training a predictive model using various statistical algorithms leveraging data.

Machine Learning

Machine Learning Predictive Modeling Statistics Data Science

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Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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Trending Sources

Building Customer Churn Prediction Model With Imbalance Dataset

Analytics Vidhya

FEBRUARY 1, 2023

The amount of data is insufficient until it does not reflect or we cannot find meaningful information that can drive business […] The post Building Customer Churn Prediction Model With Imbalance Dataset appeared first on Analytics Vidhya.

Predictive Modeling

Predictive Modeling Modeling Analytics IT

Webinars

Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

MORE WEBINARS

How to create a Stroke Prediction Model?

Analytics Vidhya

MAY 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon INTRODUCTION: Stroke is a medical condition that can lead to the. The post How to create a Stroke Prediction Model? appeared first on Analytics Vidhya.

Predictive Modeling

Predictive Modeling Modeling Data Science Publishing

Improve your Predictive Model’s Score using a Stacking Regressor

Analytics Vidhya

DECEMBER 3, 2020

This article was published as a part of the Data Science Blogathon. Introduction The general principle of ensembling is to combine the predictions of various. The post Improve your Predictive Model’s Score using a Stacking Regressor appeared first on Analytics Vidhya.

Predictive Modeling

Predictive Modeling Data Science Publishing Modeling

Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

FEBRUARY 6, 2025

Even basic predictive modeling can be done with lightweight machine learning in Python or R. In life sciences, simple statistical software can analyze patient data. While this process is complex and data-intensive, it relies on structured data and established statistical methods.

Unstructured Data

Unstructured Data Manufacturing Data Governance Sales

What is a customer data platform? A unified customer database

CIO Business Intelligence

MAY 10, 2022

Customer data platform defined. A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. The central data hub simplifies the use of that data with AI and automation.

Advertising

Advertising Interactive Marketing Structured Data

Building and Evaluating GenAI Knowledge Management Systems using Ollama, Trulens and Cloudera

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. Langchain) and LLM evaluations (e.g.

Management

Management Metrics Data Processing Machine Learning

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science

Data Science Data Analytics Prescriptive Analytics Analytics

Reflections on the Knowledge Graph Conference 2023

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. An entire conference track was dedicated to topics like graph embeddings, vector representations and matrix operations.

Machine Learning

Machine Learning Structured Data Unstructured Data Predictive Modeling

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Data in Amazon S3 can be easily queried in place using SQL with Amazon Redshift Spectrum.

Analytics

Analytics Data Warehouse Data Lake Metadata

Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining

Data mining Machine Learning Deep Learning Marketing

What is a Data Pipeline?

Jet Global

MAY 9, 2024

For example, migrating customer data from an on-premises database to a cloud-based CRM system. Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment.

Data Lake

Data Lake Data Warehouse Business Intelligence Machine Learning

Data Leaders Brief

Introduction to Linear Predictive Models – Part 2

Machine Learning Paradigms with Example

Webinars

Trending Sources

Building Customer Churn Prediction Model With Imbalance Dataset

Webinars

How to create a Stroke Prediction Model?

Improve your Predictive Model’s Score using a Stacking Regressor

Beyond the hype: Do you really need an LLM for your data?

What is a customer data platform? A unified customer database

Building and Evaluating GenAI Knowledge Management Systems using Ollama, Trulens and Cloudera

Data science vs data analytics: Unpacking the differences

Reflections on the Knowledge Graph Conference 2023

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

Leveraging user-generated social media content with text-mining examples

What is a Data Pipeline?

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