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Articole: 25
  1. Self Hosting Coding LLMs

    The world is in an arms race to create data centers in 2026, to run and train the most intelligent AI.

  2. Pure functional programming languages have dramatically improved lately.

  3. Deep Learning From Java and Scala

    Deep learning has been dominated by Python for years.

  4. I love programming languages.

  5. Haskell IDE 2020

    Haskell tooling has improved, but getting an IDE-like setup is still tricky.

  6. Haskell and Hadoop the Aftermath

    In 2012 Haskell and Hadoop were the hottest technologies.

  7. F# vs Scala

    F# and Scala are both hybrid functional object-oriented languages created for popular virtual machines.

  8. Typed Functional Languages 2019

    This post is a brief status of the state of typed functional languages in late 2019.

  9. There are at least 5 popular ways to install Python on OS X / Mac.

  10. ML and Data in AWS, Azure and GCP

    Machine learning and data technology are changing fast and the big cloud providers compete with new offerings.

  11. I work with these popular cloud technologies.

  12. You can divide functional programming languages into 2 groups: Static and dynamic.

  13. Functional programming has moved from academia to industry in the last few years.

  14. Big Data: What Worked?

    "Big data" created an explosion of new technologies and hype: NoSQL, Hadoop, cloud computing, highly parallel systems and analytics.

  15. LISP Prolog and Evolution

    I just saw David Nolen give a talk at a LispNYC Meetup called: LISP is Too Powerful It was a provocative and humorous talk.

  16. Collision with the Zeitgeist

    It has been 5 years since I started my blog.

  17. Akka vs. Finagle vs. Storm

    Akka, Finagle and Storm are 3 new open source frameworks for distributed parallel and concurrent programming.

  18. Scala vs. Haskell vs. Python

    Functional programming is on the upswing, but should you bet your career on it, or is it a short-lived technology fad?

  19. Comparison of Hadoop Frameworks I had to do simple processing of log files in a Hadoop cluster.

  20. I have evaluated Scala as a language for cloud computing and Hadoop.

  21. I do natural language processing in C# 3.5 and Python.

  22. The first half of this blog post is about selecting a cloud provider for a data mining and natural language processing system.

  23. Latent Dirichlet Allocation, LDA is a new and very powerful technique for finding the topics in a collection of texts, using unsupervised learning.

  24. I started a science education blog called: Bedtime Science Stories.

  25. Is IBM Watson Beginning An AI Boom?

    Artificial intelligence fell out of favor in the 1970s, the start of first artificial intelligence winter, and has mainly been out of favor since.