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Tag: machinelearning

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data science Tips And Tricks
import pandas in aws lambda
_ Ilaria Petreti

How to Import Pandas in AWS Lambda

In this blog post, you will learn how to import the Pandas library in AWS Lambda in order to execute python scripts.

READ MORE ♥19
Learning To Rank Main Blog
_ Ilaria Petreti

Train and Test Sets Split for Evaluating Learning To Rank Models – Part 2

What is the most appropriate approach to handle queries when splitting data when evaluating learning to rank models?

READ MORE ♥25
Machine Learning Main Blog
Train and Test Sets Split for Evaluating Learning To Rank Models
_ Ilaria Petreti

Train and Test Sets Split for Evaluating Learning To Rank Models

How data splitting can be done and why it is important for the offline evaluation of Learning to Rank models?

READ MORE ♥35
Learning To Rank Tips And Tricks
constant features learning to rank
_ Ilaria Petreti

Drop constant features: a real-world Laerning To Rank scenario

Does removing constant features affect model performance? Find out with our real-world Learning to Rank application

READ MORE ♥95
Learning To Rank Main Blog
A Learning to Rank Project on a Daily Song Ranking Problem - Sease
_ Ilaria Petreti

A Learning to Rank Project on a Daily Song Ranking Problem – Part 4

Query-level features and under-sampled queries, how to handle them? Find it out, with our new Learning to Rank implementations

READ MORE ♥76
Learning To Rank Main Blog
Explaining Learning to Rank Models with Tree Shap
_ Anna Ruggero

Explaining Learning to Rank Models with Tree Shap

Introduction A common problem with machine learning models is their interpretability and explainability.We create a dataset and we train a model to achieve a task, then we would like to understand how the model obtains those results. This is often quite difficult to understand, especially with very complex models. In this blog post, I would…

READ MORE ♥105
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