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Step-by-Step Guide to Deploying ML Models with Docker

KDnuggets

Learn how Docker can keep your ML models running smoothly, every time. Tired of fixing the same deployment issues?

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Free Tools Every ML Beginner Should Use

Machine Learning Mastery

So getting started in the ML field wouldn’t be any different. This is why today I want to highlight some of the essential tools that every beginner — or person willing to get started — with ML should be using. We have all experienced it: starting is the toughest part of any journey.

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Machine Learning Made Simple for Data Analysts with BigQuery ML

KDnuggets

Thanks to tools like BigQuery ML, you can harness the power of ML without needing a computer science degree. Let's explore how to get started.

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Complete Guide to Effortless ML Monitoring with Evidently.ai

Analytics Vidhya

Introduction Whether you’re a fresher or an experienced professional in the Data industry, did you know that ML models can experience up to a 20% performance drop in their first year? ML Monitoring aids in early […] The post Complete Guide to Effortless ML Monitoring with Evidently.ai

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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How to Build a ML Model in 1 Minute using ChatGPT

Analytics Vidhya

Introduction Machine learning (ML) has become a game-changer across industries, but its complexity can be intimidating. Why […] The post How to Build a ML Model in 1 Minute using ChatGPT appeared first on Analytics Vidhya. This article explores how to use ChatGPT to build machine learning models.

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Meta’s HawkEye: Transforming ML Debugging for Enhanced Efficiency

Analytics Vidhya

In a groundbreaking move, Meta has introduced HawkEye, a revolutionary toolkit aimed at transforming the landscape of machine learning (ML) debugging. Addressing the challenges of debugging at scale, HawkEye streamlines monitoring, observability, and debuggability for Meta’s ML-based products.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. The number of use cases/corner cases that the system is expected to handle essentially explodes.