What is the Jamstack and What Can It Do for You?

The Jamstack is more of an architecture or methodology for building web applications than a prescriptive stack of technologies. Jamstack was formed in response to dynamic web page development that many felt had become cumbersome, slow and insecure. The Jamstack architecture offers a number of benefits including page speed, security and cost.

Refactoring the Gilded Rose Kata in Java

In this video, we join Christian in his live coding challenge of refactoring the famous Gilded Rose Kata.

Rapid Data-Driven Sales Maximization and Churn Reduction

In this extensive coding session, Carl Gold–chief data scientist at Zuora Inc.–explains why fighting churn is all about targeted interventions.

Azure Data Lake Analytics – Writing and Running Jobs

In this video, seasoned IT professional Richard Nuckolls dives into writing and running Azure Data Lake Analytics jobs.

Microservices Security with gRPC and Kafka

In this video, we join Nuwan Dias in securing service-to-service interactions over gRPS and Kafka.

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 →

Deep Transfer Learning for NLP with Transformers

From Transfer Learning for Natural Language Processing by Paul Azunre

In this article, we cover some representative deep transfer learning modeling architectures for NLP that rely on a recently popularized neural architecture – the transformer – for key functions.

Generating Code with Template Functions

From Domain-Specific Languages Made Easy by Meinte Boersma This article shows you how to use modern JavaScript in a smart way to comfortably implement templates for text/code generation, instead of using a template engine. The following article is a standalone… Continue Reading →

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