From Deep Learning Patterns and Practices by Andrew Ferlitsch
This article covers:
Feeding models training data in a production environment.
Scheduling for continuous retraining.
Using version control and evaluating models before and after deployment.
Deploying models for large scale on-demand and batch requests, in both monolithic and distributed deployments.
From Deep Learning Patterns and Practices by Andrew Ferlitsch
This article covers:
● Feeding models training data in a production environment.
● Scheduling for continuous retraining.
● Using version control and evaluating models before and after deployment.
● Deploying models for large scale on-demand and batch requests, in both monolithic and distributed deployments.
From Hugo in Action by Atishay Jain
This article is all about adding LaTeX rendering to a static website built with Hugo.
From Akka in Action, Second Edition by Francisco Lopez-Sancho Abraham
This article jumps into the basics of how “asking” in Akka works.
From Distributed Machine Learning Patterns by Yuan Tang
In this article, we introduce the collective communication pattern, which is a great alternative to parameter servers when the machine learning model we are building is not too large without having to tune the ratio between the number of workers and parameter servers.
From Data Science Bookcamp by Leonard Apeltsin
This 3-part article series covers:
Clustering data by centrality
Clustering data by density
Trade-offs between clustering algorithms
Executing clustering using the scikit-learn library
Iterating over clusters using Pandas
From Data Science Bookcamp by Leonard Apeltsin
This 3-part article series covers:
Clustering data by centrality
Clustering data by density
Trade-offs between clustering algorithms
Executing clustering using the scikit-learn library
Iterating over clusters using Pandas
From Data Science Bookcamp by Leonard Apeltsin
This 3-part article series covers:
Clustering data by centrality
Clustering data by density
Trade-offs between clustering algorithms
Executing clustering using the scikit-learn library
Iterating over clusters using Pandas
From Unity in Action, Third Edition by Joe Hocking
From Python Concurrency with asyncio by Matthew Fowler
This article shows how you might make your first application that leverages asyncio.