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Data4ML Preparation Guidelines (Beyond The Basics)

Towards AI

Data preparation isn’t just a part of the ML engineering process — it’s the heart of it. Photo by Myriam Jessier on Unsplash To set the stage, let’s examine the nuances between research-phase data and production-phase data. This post dives into key steps for preparing data to build real-world ML systems.

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Vertex AI: Guide to Google’s Unified Machine Learning Platform

Pickl AI

Introduction In the rapidly evolving landscape of Machine Learning , Google Cloud’s Vertex AI stands out as a unified platform designed to streamline the entire Machine Learning (ML) workflow. This unified approach enables seamless collaboration among data scientists, data engineers, and ML engineers.

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First ODSC Europe 2023 Sessions Announced

ODSC - Open Data Science

ML Governance: A Lean Approach Ryan Dawson | Principal Data Engineer | Thoughtworks Meissane Chami | Senior ML Engineer | Thoughtworks During this session, you’ll discuss the day-to-day realities of ML Governance. Some of the questions you’ll explore include How much documentation is appropriate?

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Up Your Machine Learning Game With These ODSC East 2024 Sessions

ODSC - Open Data Science

By the end of this session, you’ll have a practical blueprint to efficiently harness feature stores within ML workflows. Using Graphs for Large Feature Engineering Pipelines Wes Madrigal | ML Engineer | Mad Consulting Feature engineering from raw entity-level data is complex, but there are ways to reduce that complexity.

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Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning Blog

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

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Announcing the First Sessions for ODSC East 2024

ODSC - Open Data Science

Causal AI: from Data to Action Dr. Andre Franca | CTO | connectedFlow Explore the world of Causal AI for data science practitioners, with a focus on understanding cause-and-effect relationships within data to drive optimal decisions. Sign me up! Register for ODSC East today to save 60% on any pass.