Category Archives: Machine Learning

Undecidability in Machine Learning

There are a number of technical maths questions that are known to be ‘undecidable’ when a statement cannot be proved either true or false using standard mathematical language. Recently a team of mathematicians proved that “Learnability can be Undecidable” where … Continue reading

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Association Rule Mining

Users who bought this… Also bought this…‘ can be considered as the statement of this generation. There is not a single shopping application not showcasing this feature to gain more from the buyers. We humans always look for more similar … Continue reading

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Google Research Football: A Novel Reinforcement Learning Environment

Today Google Research announced the release of the Football Environment, a novel Reinforcement Learning (RL) environment where agents aim to master the world’s most popular sport—football (soccer). Modeled after popular football video games, the Football Environment provides a physics based … Continue reading

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Optimization and Machine Learning with Excel Online

Frontline Systems has released Analytic Solver® V2019, a SaaS (software as a service) cloud and desktop platform that offers Excel-savvy business analysts point-and-click tools to create predictive and prescriptive analytics models themselves, without needing expert data scientists or programmers. Both … Continue reading

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Why Machine Learning Models Crash And Burn In Production

This is the title of the article published by Forbes: “One magical aspect of software is that it just keeps working. If you code a calculator app, it will still correctly add and multiply numbers a month, a year, or … Continue reading

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What a good modern data analyst has to master

Andriy Burkov, ML at Gartner and author of The Hundred-Page Machine Learning Book, shares what a good modern data analyst has to master:

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Beyond Chatbots: Hyper-Personalized, Intelligent Assistants

Peter Voss, CEO at Aigo.ai, published the article with this name in Forbes: “Recent years have seen a proliferation of chatbots and so called ‘personal assistants.’ These supposedly serve both the convenience of the user.. However, these bots often realize poor … Continue reading

Posted in Human-Machine Interaction, Machine Learning, Natural Language Processing | Leave a comment