Subject

Data

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 →

Scaling Streaming Systems

In this video, Josh Fischer explains what it takes for a Streaming System to help you scale-up stream processing in Java.

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.

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.

Applying VACUUM to Data

From Cloud Native Machine Learning by Carl Osipov

The goal of this article is to teach you the data quality criteria you should use across any machine learning project, regardless of the dataset. This means that this part deals primarily with concepts rather than code.

Hands-On Deep Learning Model Training

In this video, we join deep learning advocate Mark Ryan on his tour into training the model and running experiments.

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