InfoQ Homepage Machine Learning Content on InfoQ
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Microsoft Project Oxford Aims to Bring Intelligence to Apps
Under the name of Project Oxford, Microsoft has made available a set of RESTful APIs that aim to make it possible for developers to build apps that feature face recognition, speech processing, and other machine learning algorithms. Part of the Azure portfolio, the new APIs are currently in beta and free to use up to 5,000 call per month.
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Facebook Open Sources Modules for Faster Deep Learning on Torch
Facebook has open sourced a number of modules for faster training of neural networks on Torch.
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Google on the Technical Debt of Machine Learning
A number of Google researchers and engineers presented their view on the technical debt of using machine learning at a NIPS workshop. They identified different aspects of technical debt and came to the conclusion that without proper care, using machine learning or complex data analysis in your company can induce new kinds of technical debt different from classical software engineering.
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Google Uses Machine Learning to Simplify CAPTCHA
Google has announced a new CAPTCHA API which provides a No CAPTHA experience for most users.
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Web Summit 2014 Day One Review
Web Summit, one of the largest technology conferences in Europe opened up today. Famous people from the technology and business world are expected to talk, like Peter Thiel, Drew Houston and Anna Patterson.
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Microsoft Expands Azure Machine Learning and Real Time Analytics Offering
Microsoft recently announced new machine learning capabilities for Microsoft Azure platform. Developers can also create their own web services and publish them to Azure Marketplace. Microsoft also announced availability of Apache Storm for Azure. Azure Stream Analytics, Data Factory and Event Hubs for Azure were all announced in the past few weeks by Microsoft. In this article we explore moreabout
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LinkedIn and Twitter Contribute Machine Learning Libraries to Open Source
Twitter’s engineering group, known for various contributions to open source from streaming MapReduce to front-end framework Bootstrap recently announced open sourcing an algorithm that can efficiently recommend content. LinkedIn also open sourced a Machine Learning library of its own, ml-ease. In this article we present the algorithms and what they mean for the open source community.
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Microsoft Launching Azure Machine Learning as a Service
Microsoft recently announced Azure ML, a machine learning cloud based platform that helps predict future events based on past performance. Microsoft has been using machine learning for years for Bing, Xbox and other products but this is the first time that internal technologies are consumerized and deployed as cloud services. Ersatz Labs is also trying to build a PaaS for Machine Learning.
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Domino: Datascience-as-a-Service
Domino, a Platform-as-a-Service for data science, enables people to do analytical work using languages such as Python or R in the cloud (EC2).
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Spark Officially Graduates From Apache Incubator
Recently, Spark graduated from the Apache incubator. Spark claims up to 100x speed improvements over Apache Hadoop over in-memory datasets and gracefully falling back to 10x speed improvement for on-disk performance. Based on Scala, it can run SQL queries and be used directly in R. It provides Machine Learning, Graph database capabilities and other further discussed in the article.
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New Education Opportunities for Data Scientists
2013 has been rich in announcements for new programs, degrees and grants for aspiring data scientists and Big Data practitioners.
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An Introduction to Neural Networks Using C#
Neural networks have long been an interesting field of research for exploring concepts in machine learning (otherwise known as artificial intelligence). Dr James McCaffrey of Microsoft Research recently gave an introduction to neural networks for those looking to learn more about them in an engaging talk that includes working demo code.
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Concurrent Releases Pattern, a Machine Learning DSL for Hadoop
Concurrent, Inc., the enterprise Big Data application platform company, today announced Pattern, a machine learning based on an industry standard called PMML which allows analytics frameworks such as SAS, R, Microstrategy, Oracle, etc., to export predictive models and run them on Hadoop clusters
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Trends in the latest Technology Radar
ThoughtWorks's latest "Technology Radar" focuses on mobile, accessible analytics, simple architectures, reproducible environments, and data persistence done right.
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Blog Sentiment Analysis Using NoSQL Techniques
Corporations are increasingly using social media to learn more about what their customers are saying about their products. This presents unique challenges as unstructured content needs analytic techniques to interpret the sentiment embodied in the blog posts. InfoQ caught up with Subramanian Kartik to learn more about the blog sentiment analysis project his team worked on.