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The Top AI Slides from ODSC West 2024

ODSC - Open Data Science

ODSC West 2024 showcased a wide range of talks and workshops from leading data science, AI, and machine learning experts. This blog highlights some of the most impactful AI slides from the world’s best data science instructors, focusing on cutting-edge advancements in AI, data modeling, and deployment strategies.

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Must-Have Skills for a Machine Learning Engineer

Pickl AI

A solid foundation in mathematics enhances model optimisation and performance. Familiarity with cloud computing tools supports scalable model deployment. Model Evaluation and Tuning After building a Machine Learning model, it is crucial to evaluate its performance to ensure it generalises well to new, unseen data.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

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AI Models as a Service (AIMaaS): A Detailed Overview

Pickl AI

Predictive Analytics : Models that forecast future events based on historical data. Model Repository and Access Users can browse a comprehensive library of pre-trained models tailored to specific business needs, making it easy to find the right solution for various applications.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

See also Thoughtworks’s guide to Evaluating MLOps Platforms End-to-end MLOps platforms End-to-end MLOps platforms provide a unified ecosystem that streamlines the entire ML workflow, from data preparation and model development to deployment and monitoring. Is it fast and reliable enough for your workflow?