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Anonymous Functions in Practice

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 →

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.

How does TLS work?

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 →

Automating Privacy by Design, Part 1

  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 →

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.

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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