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Today I experimented with Anthropic’s Claude 3.5 Sonnet using their Computer Use Demo. To evaluate its capabilities, I presented it with a task typical of entry-level data science technical interviews.
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The database community has recently seen a massive surge in research to replace traditional database indexes such as B+ Trees with machine learning models (also called “learned index structures”) to facilitate fast data retrieval.
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In this blog post, we would like to share some insights on our participation in the COMP90086 Computer Vision Project at the University of Melbourne (Semester 2, 2021).
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In this blog post, I would like to present my submission to the COMP90042 Natural Language Processing Project at the University of Melbourne (Semester 1 2021).
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In this blog post I would like to provide an anylsis of the Pima dataset that is available in the faraway
R-package. The exercises below are part of the course MAST90139: Statistical Modelling for Data Science at the University of Melbourne.
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In this blog post I would like to provide an anylsis of the Swiss dataset which can be accessed in R. The exercises below are part of the course MAST90139: Statistical Modelling for Data Science at the University of Melbourne.
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Over the past years, there have been major advancements in Artificial Intelligence and given the intense interest and investment in AI by industry and Academia, we believe that now is the time to focus our energies in applying AI to solve complex social problems in health, sustainability, community violence, and in assisting low resource communities.
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A short announcements that I have now created my own alter ego in the form of a Twitter bot. It goes by the handle of @Bachfischer_bot and you can follow it on Twitter.
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I recently came across Cal Newport’s book Deep Work as well as a great Podcast in which he talks about the contents of his book.
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In a recent project that I did for my current employer (BCG Platinion), we were tasked with developing a digital Proof of Concept app that retrieves data from cars and analyzes it for interesting insights. The specifics of our work are of course under NDA, but nonetheless we were allowed to publish two short blog posts on LinkedIn that describe the great results that we have accomplished as a team.
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Over the last couple of weeks, I published various articles on the concept of Business Managed IT on LinkedIn. Make sure to check them out if you would like to get the latest insights from practitioners in the industry and understand how Business Managed IT could be beneficial for your organization.
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Last month, I had the pleasure to take part in the GermEval 2018 workshop on the identification of offensive comments in German language microposts. During my stay at KAUST, me and my supervisors took part in Task 1 (binary classification) of the shared task for German language classification.
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From April to July 2018, I had the chance to work as a Visiting Student for the Laboratory Machine Intelligence and kNowledge Engineering (MINE) at King Abdullah University for Science and Technology (KAUST).