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The world is in an arms race to create data centers in 2026, to run and train the most intelligent AI.
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Pure functional programming languages have dramatically improved lately.
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Deep learning has been dominated by Python for years.
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I love programming languages.
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Haskell tooling has improved, but getting an IDE-like setup is still tricky.
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In 2012 Haskell and Hadoop were the hottest technologies.
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F# and Scala are both hybrid functional object-oriented languages created for popular virtual machines.
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This post is a brief status of the state of typed functional languages in late 2019.
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There are at least 5 popular ways to install Python on OS X / Mac.
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Machine learning and data technology are changing fast and the big cloud providers compete with new offerings.
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I work with these popular cloud technologies.
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You can divide functional programming languages into 2 groups: Static and dynamic.
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Functional programming has moved from academia to industry in the last few years.
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"Big data" created an explosion of new technologies and hype: NoSQL, Hadoop, cloud computing, highly parallel systems and analytics.
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I just saw David Nolen give a talk at a LispNYC Meetup called: LISP is Too Powerful It was a provocative and humorous talk.
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It has been 5 years since I started my blog.
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Akka, Finagle and Storm are 3 new open source frameworks for distributed parallel and concurrent programming.
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Functional programming is on the upswing, but should you bet your career on it, or is it a short-lived technology fad?
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Comparison of Hadoop Frameworks I had to do simple processing of log files in a Hadoop cluster.
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I have evaluated Scala as a language for cloud computing and Hadoop.
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I do natural language processing in C# 3.5 and Python.
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The first half of this blog post is about selecting a cloud provider for a data mining and natural language processing system.
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Latent Dirichlet Allocation, LDA is a new and very powerful technique for finding the topics in a collection of texts, using unsupervised learning.
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I started a science education blog called: Bedtime Science Stories.
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Artificial intelligence fell out of favor in the 1970s, the start of first artificial intelligence winter, and has mainly been out of favor since.