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Data Preprocessing vs. Data Wrangling in Machine Learning Projects

Posted by Kai Wähner on  Mar 05, 2017

This article compares different alternative techniques to prepare data, including extract-transform-load (ETL) batch processing, streaming ingestion and data wrangling.

Article Series: An Introduction to Machine Learning

Posted by Michael Manapat on  Feb 27, 2017

In this series, we give an introduction to some powerful but generally applicable techniques in machine learning.

Book Review: Andrew McAfee and Erik Brynjolfsson's "The Second Machine Age"

Posted by Michael Manapat on  Feb 24, 2017

Andrew McAffee and Erik Brynjolfsson begin their book The Second Machine Age with a simple question: what innovation has had the greatest impact on human history?

Real-World, Man-Machine Algorithms

Posted by Edwin Chen Justin Palmer on  Feb 16, 2017

Learn about the end-to-end flow of developing machine learning models: where you get training data, how you pick the ML algorithm, what you must address after your model is deployed, and so forth.

Anomaly Detection for Time Series Data with Deep Learning

Posted by Tom Hanlon on  Feb 11, 2017

This article introduces neural networks, including descriptions of feed-forward and recurrent neural networks, describing how to build a recurrent neural network that detects anomalies.

An Introduction to Differential Privacy

Posted by Charlie Cabot on  Jan 22, 2017

Differential privacy leapt from research papers to tech news headlines last year when, in the WWDC keynote, Apple VP of Engineering Craig Federighi announced Apple’s use of the concept in iOS. 1

Peter Cnudde on How Yahoo Uses Hadoop, Deep Learning and Big Data Platform

Posted by Srini Penchikala on  Oct 13, 2016

Yahoo uses Hadoop for different use cases in big data & machine learning areas. InfoQ spoke with Peter Cnudde on how Yahoo leverages big data technologies.

Spark GraphX in Action Book Review and Interview

Posted by Srini Penchikala on  Sep 12, 2016

InfoQ spoke with authors of Spark GraphX in Action book, Apache Spark framework and what's coming up in the area of graph data processing and analytics.

Big Data Processing with Apache Spark - Part 4: Spark Machine Learning

Posted by Srini Penchikala on  May 15, 2016

In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concept & Spark MLlib library for running predictive analytics using a sample application.

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