From Get Programming with Scala by Daniela Sfregola After reading this article, you will be able to: § Implement anonymous functions § Code using the concise notation for anonymous functions Take 37% off Get Programming with Scala by entering… 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.
From Software Telemetry by Jamie Riedesel
This article covers emitting and shipping telemetry to somewhere off the system, such as into a queue.
From Real-World Cryptography by David Wong This article describes how Transport Layer Security Works. Take 37% off Real-World Cryptography by entering fccwong into the discount code box at checkout at manning.com. Today, Transport Layer Security (TLS) is the de-facto standard… Continue Reading →
From Privacy by Design by Nishant Bhajaria This article series explores incorporating privacy into your design from the beginning using automation. Take 40% off Privacy by Design by entering fccbhajaria into the discount code box at checkout at manning.com…. Continue Reading →
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.
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 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 →
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.
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 →