Remove Analytics Remove Data-driven Remove Modeling
article thumbnail

How to Choose Best ML Model for your Usecase?

Analytics Vidhya

Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging. appeared first on Analytics Vidhya.

Modeling 290
article thumbnail

8 Popular Tools for RAG Applications

Analytics Vidhya

In today’s AI landscape, the ability to integrate external knowledge into models, beyond the data they were initially trained on, has become a game-changer. This advancement is driven by Retrieval Augmented Generation, in short RAG. RAG allows AI systems to dynamically access and utilize external information.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Explainable AI: Demystifying the Black Box Models

Analytics Vidhya

Introduction In today’s data-driven world, machine learning is playing an increasingly prominent role in various industries. Explainable AI aims to make machine learning models more transparent to clients, patients, or loan applicants, helping build trust and social acceptance of these systems.

Modeling 319
article thumbnail

Build a strong data foundation for AI-driven business growth

CIO Business Intelligence

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

article thumbnail

The Practical Guide to Using a Semantic Layer for Data & Analytics

Download this guide for practical advice on how to use a semantic layer to unlock data for AI & BI at scale. Read this guide to learn: How to make better, faster, and smarter data-driven decisions at scale using a semantic layer. How to enable data teams to model and deliver a semantic layer on data in the cloud.

article thumbnail

Freelance Data Scientist Develops Gemma-Based Telugu Model, Nandi

Analytics Vidhya

Artificial intelligence (AI) and AI-driven language models in regional languages are booming in India. The latest member to this evolving landscape is Nandi, a Telugu language model, finely crafted by freelance data scientist Bharadwaj Swarna.

Modeling 318
article thumbnail

Top 10 Powerful Data Modeling Tools to Know in 2023

Analytics Vidhya

Introduction In the era of data-driven decision-making, having accurate data modeling tools is essential for businesses aiming to stay competitive. As a new developer, a robust data modeling foundation is crucial for effectively working with databases.

Modeling 313
article thumbnail

Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.

article thumbnail

AR/VR Simulations for Sustainable, Regenerative, Circular Cities

Speaker: Nik Gowing, Brenda Laurel, Sheridan Tatsuno, Archie Kasnet, and Bruce Armstrong Taylor

This conversation considers how today's AI-enabled simulation media, such as AR/VR, can be effectively applied to accelerate learning, understanding, training, and solutions-modeling to sustainability planning and design.