Tag

python

Deploying Machine Learning Models, Part 2: model serving

From Machine Learning Bookcamp by Alexey Grigorev

In this series, we cover model deployment: the process of putting models to use. In particular, we’ll see how to package a model inside a web service, allowing other services to use it. We also show how to deploy the web service to a production-ready environment.

Converting Pure Deep Learning with PyTorch to Use Lightning and Hangar

In this video, machine learning expert Eli Stevens showcases how to use open-source libraries that are available in the PyTorch ecosystem to cut down the amount of the code that you want to write.

Deploying Machine Learning Models, Part 1: saving models

From Machine Learning Bookcamp by Alexey Grigorev

In this series, we cover model deployment: the process of putting models to use. In particular, we’ll see how to package a model inside a web service, allowing other services to use it. We also show how to deploy the web service to a production-ready environment.

Sentiment Classification Using a Large Movie Review Dataset, Part 2

From Machine Learning with TensorFlow, Second Edition by Chris Mattmann This article covers: Building sentiment classifier using logistic regression and with softmax Measuring classification accuracy Computing ROC curve and measure classifier effectiveness Submitting your results to the Kaggle challenge for… Continue Reading →

Hands-On Deep Learning Model Training

In this video, we join deep learning advocate Mark Ryan on his tour into training the model and running experiments.

Pandas in One Hour

In this video, Boris Paskhaver showcases the high-level features of the Pandas library.

Sentiment Classification Using a Large Movie Review Dataset, Part 1

From Machine Learning with TensorFlow, Second Edition by Chris Mattmann

This article covers using text and word frequency (Bag of Words) to represent sentiment.

Beyond “def”: Exploring Python Functions

In this tour de force live coding session, an expert Python coach Reuven Lerner shows you how functions work behind the scenes and how you can use them in different ways.

Data Authentication with Keyed Hashing

By Dennis Byrne

This article explores securing data using keyed hashing in Python.

Automatic Differentiation in Python and PyTorch

Deep dive with Carl Osipov into understanding automatic differentiation used by PyTorch autograd for deep learning

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