ODSC - Open Data Science

MARCH 23, 2023

Each month, ODSC has a few insightful webinars that touch on a range of issues that are important in the data science world, from use cases of machine learning models, to new techniques/frameworks, and more. So here’s a summary of a few recent webinars that you’ll want to watch. Watch on-demand here. Watch on-demand here.

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ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

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Azure ML ML Data Modeling 52

Iguazio

JUNE 9, 2025

The blog is based on the webinar Deploying Gen AI in Production with NVIDIA NIM & MLRun with Amit Bleiweiss, Senior Data Scientist at NVIDIA, and Yaron Haviv, co-founder and CTO and Guy Lecker, ML Engineering Team Lead at Iguazio (acquired by McKinsey). You can watch the entire webinar here.

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AI AI Data Preparation ML 52

AWS Machine Learning Blog

JUNE 27, 2023

When machine learning (ML) models are deployed into production and employed to drive business decisions, the challenge often lies in the operation and management of multiple models. That is where Provectus , an AWS Premier Consulting Partner with competencies in Machine Learning, Data & Analytics, and DevOps, stepped in.

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ML ML AWS Machine Learning 117

Iguazio

JULY 22, 2024

MongoDB for end-to-end AI data management MongoDB Atlas , an integrated suite of data services centered around a multi-cloud NoSQL database, enables developers to unify operational, analytical, and AI data services to streamline building AI-enriched applications. Atlas Vector Search lets you search unstructured data.

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AI AI ML ML 132

Iguazio

MAY 29, 2024

In the application pipeline, teams can swap: Logging inputs + responses to various data sources (database, stream, file, etc.) Additional data sources (RAG, web search, etc.) Classical ML models and LLMs If using QLORA to fine-tune, teams can swap out domain specific fine tuned adapters while using the same base model (e.g.

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Data Pipeline AI AI ML 104

Pickl AI

NOVEMBER 28, 2024

Understanding Machine Learning algorithms and effective data handling are also critical for success in the field. Introduction Machine Learning ( ML ) is revolutionising industries, from healthcare and finance to retail and manufacturing. Fundamental Programming Skills Strong programming skills are essential for success in ML.

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Machine Learning Machine Learning ML ML 52