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Building reliable machine learning models with cross-validation

Cross-validation is a technique used to measure and evaluate machine learning models performance. During training we create a number of partitions of the training...
Gideon Mendels
2 min read

Part I: Conducting Exploratory Data Analysis (EDA) for the…

Follow along as the Comet.ml team competes to win the Kaggle Home Credit Default Competition — this is the first of a series of posts on...
Dhruv Nair
4 min read

A Data Scientist’s Guide to Communicating Results

So your model is finally done running, you’ve tweaked and optimized all of the hyperparameters you could to obtain the best results, and you’re...
Gideon Mendels
3 min read

Deep Learning: Theory & Practice

This post by Yoel Zeldes is originally from his blog Another Datum and was reposted with his permission. Yoel is an algorithm engineer at...
Gideon Mendels
7 min read

Using fastText and Comet.ml to classify relationships in Knowledge…

TLDR: In this post, we will examine how a simple model, fastText, learns to represent entities in a subset of the FB15K knowledge graph,...
Dhruv Nair
6 min read
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