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Implement a custom AutoML job using pre-selected algorithms in Amazon SageMaker Automatic Model Tuning

AWS Machine Learning Blog

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model.

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How To Use ML for Credit Scoring & Decisioning

phData

Greater Accuracy Machine learning models can handle high-dimensional, nonlinear, and interactive relationships between variables. These nuanced algorithms can lead to more accurate and reliable credit scores and decisions. They can process large amounts of data in real time, providing instant credit scores and decisions.

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Building Scalable AI Pipelines with MLOps: A Guide for Software Engineers

ODSC - Open Data Science

In today’s landscape, AI is becoming a major focus in developing and deploying machine learning models. It isn’t just about writing code or creating algorithms — it requires robust pipelines that handle data, model training, deployment, and maintenance. Model Training: Running computations to learn from the data.

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Why is Git Not the Best for ML Model Version Control

The MLOps Blog

These days enterprises are sitting on a pool of data and increasingly employing machine learning and deep learning algorithms to forecast sales, predict customer churn and fraud detection, etc., Data science practitioners experiment with algorithms, data, and hyperparameters to develop a model that generates business insights.

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LLMOps demystified: Why it’s crucial and best practices for 2023

Data Science Dojo

Some projects may necessitate a comprehensive LLMOps approach, spanning tasks from data preparation to pipeline production. Exploratory Data Analysis (EDA) Data collection: The first step in LLMOps is to collect the data that will be used to train the LLM.

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How Light & Wonder built a predictive maintenance solution for gaming machines on AWS

AWS Machine Learning Blog

Utilizing data streamed through LnW Connect, L&W aims to create better gaming experience for their end-users as well as bring more value to their casino customers. Predictive maintenance is a common ML use case for businesses with physical equipment or machinery assets.

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Five winning Tableau tips from the Gartner BI Bake-Off

Tableau

Einstein Discovery in Tableau uses machine learning (ML) to create models and deliver predictions and recommendations within the analytics workflow. No code or algorithms needed. Use Tableau Prep to quickly combine and clean data . Data preparation doesn’t have to be painful or time-consuming. The best part?

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