Subject

Data

Transparent and understandable AI systems

From Interpretable AI by Ajay Thampi

Forecasting Churn Risk with Machine Learning, Part 2

From Fighting Churn with Data by Carl Gold

This article discusses using machine learning algorithms to forecast churn risks.

Forecasting Churn Risk with Machine Learning, Part 1

From Fighting Churn with Data by Carl Gold

This article discusses using machine learning algorithms to forecast churn risks.

Batch queries with Azure Data Lake Analytics

From Azure Data Engineering by Richard Nuckolls

This article discusses using Azure Data Lake Analytics (ADLA) for batch queries.

Leverage cloud-based machine learning services

From Serverless Machine Learning in Action by Carl Osipov

Build your own streaming systems

From Grokking Streaming Systems by Josh Fischer and Ning Wang

Gathering Data at Scale for Real-World AI

From AI as a Service by Peter Elger and Eóin Shanaghy

This article discusses gathering data for real-world AI projects and platforms.

Applying AI to Existing Platforms

From AI as a Service by Peter Elger and Eóin Shanaghy

This article discusses how to add AI to existing platforms.

 

Evolutionary Algorithms: genetic algorithms

From Grokking Artificial Intelligence Algorithms by Rishal Hurbans

What you’ll learn in this article:

§ The lifecycle of a genetic algorithm.

§ Designing and developing a genetic algorithm to solve problems.

§ The parameters for configuring a genetic algorithm lifecycle based on different scenarios, problems, and data sets.

An Overview of Apache Airflow Architecture

From Data Pipelines with Apache Airflow by Bas P. Harenslak and Julian Rutger de Ruiter

This article gives an overview of the Apache Airflow architecture

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