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  • DocuEdgeAI
  • TeddyTalk
  • Timeseries Forecasting
  • AI Self Defense
  • Sezione Impostazioni Privacy

Transparency in Virtual Assistant Interactions

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What’s the frequency Kenneth

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From Linear Regressions to Rome’s Traffic Mysteries

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AI Self Defense

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  • Analisi delle serie temporali

    From Linear Regressions to Rome’s Traffic Mysteries

    Settembre 15, 2025 - By admin

    I have always been passionate about linear regressions, perhaps since the days I used to play with the TI SR-51 calculator. But where true motivation really showed was with the HP-48SX, which forced you to learn reverse Polish notation. It allowed you to apply different regression methods and even gave…

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  • Virtual Agents

    Transparency in Virtual Assistant Interactions

    Settembre 13, 2025 - By admin

    It can be extrapolated from the AI Act that, When interacting with an AI system, it must be made clear that you are not speaking with a human being, but to a machine, unless this is already “obvious” from the context. This principle applies especially to chatbots and virtual assistants.…

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  • Uncategorized

    Chaos in the Markets: Mandelbrot’s Fractal Vision of Finance

    Marzo 25, 2025 - By admin

    Some years back I received a gift from a friend (Antonio), a game-changing book “The (Mis)Behavior of Markets: A Fractal View of Risk, Ruin, and Reward”. In 2004 Mandelbrot introduced a new theory about the market movements suggesting that it is much more chaotic than what described by the classical…

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  • Analisi delle serie temporali

    What’s the frequency Kenneth

    Maggio 8, 2024 - By admin

    It’s quite long time man tries to predict the value of a phisical dimension and there are so many applications of time series forecasting, I won’t report here. With reference to the stock market, for example, the basic idea is that, even if its state, modeling it as dependent from…

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  • Analisi delle serie temporali

    L’esponente di Hurst

    Gennaio 8, 2024 - By admin

    L’esponente di Hurst è una misura statistica utilizzata per studiare le proprietà di ridimensionamento e la memoria a lungo termine dei dati delle serie temporali. È particolarmente utile per dedurre le proprietà di una serie temporale senza assumere stazionarietà. L’esponente di Hurst può indicare se una serie temporale è puramente…

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Recent Posts

  • From Linear Regressions to Rome’s Traffic Mysteries
  • Transparency in Virtual Assistant Interactions
  • Chaos in the Markets: Mandelbrot’s Fractal Vision of Finance
  • What’s the frequency Kenneth
  • L’esponente di Hurst

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