Tag

python

Persisting Application Data over Time

From The Well-Grounded Python Developer by Doug Farrell

This article, excerpted from chapter 10, covers

§ Persisting Data

§ Database Systems

§ Database Structures

§ Modeling Data with SQLAlchemy

From Machine Learning to Automated Machine Learning

From Automated Machine Learning in Action by Qingquan Song, Haifeng Jin, and Xia Hu

This article covers

•   Defining and introducing the fundamental concepts of machine learning

•   Describing the motivation for and high-level concepts of automated machine learning

Parts of the Python Build System

From Publishing Python Packages by Dane Hillard This article covers the pieces of the Python build system itself, so you can learn how packages are built from scratch. Take 35% off Publishing Python Packages by entering fcchillard2 into the discount… Continue Reading →

Get Started Developing for Quantum Computers with Q# and Python

In case you missed it, here is Sarah Kaiser’s live Twitch coding stream recap.   For more, check out the book: Learn Quantum Computing with Python and Q#. For more live coding streams, subscribe to Manning’s Twitch channel here: https://www.twitch.tv/manningpublications… Continue Reading →

Deploying Machine Learning Models, Part 5: deployment

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.

Deploying Machine Learning Models, Part 4: creating a Docker image

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.

Deploying Machine Learning Models, Part 3: managing dependencies

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…. Continue Reading →

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.

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