Model Packaging - Learn Data Science with Travis

👯‍♀️📦 Edge#151: Model Packaging

TheSequence

In this issue: we discuss Model Packaging; we explore Typed Features at LinkedIn; we overview ONNX, a key framework for ML Interoperability. Enjoy the learning!

Box Model

Codecademy

The Box Model is a CSS layout mechanism that the web browser uses to render content organized by box-shaped elements. Each element is made of four specific areas: width and height : The width and heig...

Model Cards

Kaggle Learn Courses

Introduction A **model card** is a short document that provides key information about a machine learning model. Model cards increase transparency by communicating information about trained models to ...

Model Cards

Kaggle Learn Courses

Introduction A **model card** is a short document that provides key information about a machine learning model. Model cards increase transparency by communicating information about trained models to ...

Building and Sharing a Model Card for Reproducibility

Python in Plain English

Model Card In machine learning, a model card is like a box of Lego pieces and instructions. It’s a document that explains how a machine-learning model was built, trained, and tested. This way, someone...

Is My Model Really Better?

Towards Data Science

Why ML models that look good on paper are not guaranteed to work well in production Continue reading on Towards Data Science

Foundation Models

Codecademy

Foundation models power AI systems that are trained on text, images, code, and other formats of data. These models pre-train on large amounts of unlabeled data from the internet. They can then be fine...

Deploying Your Models (Cheap and Dirty Way) Using Binder

Towards AI

So you’ve built your model, and now you want to deploy it for testing or to show it to someone like your mom or grandpa, who may not be comfortable using a collaborative notebook? No worries at all; y...

Packages

Codecademy

In Python, packages are a way to organize related modules into a directory hierarchy. Packages allow for modular code organization, making projects more readable, reusable, and maintainable. A package...

Bagging on Low Variance Models

Towards Data Science

Bagging (also known as bootstrap aggregation) is a technique in which we take multiple samples repeatedly with replacement according to uniform probability distribution and fit a model on it. It…

Model Selection & Assessment

Towards Data Science

A standard modeling workflow would see you partitioning your data into the training, validation, and testing sets. You would then fit your models to the training data, then use the validation set to…

Model Garden overview

TensorFlow Guide

The machine learning models in the Model Garden include full code so you can test, train, or re-train them for research and experimentation. The Model Garden includes two primary categories of models:...