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 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
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 →
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 →
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.
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.
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 →
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.
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.
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.