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31 - 40 of 70 search results for Economics Syllabus |u:mlg.eng.cam.ac.uk where 7 match all words and 63 match some words.

  1. Results that match 1 of 2 words

  2. Machine Learning 4f13 Michaelmas 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1516/
    19 Nov 2023: LECTURE SYLLABUS. This year, the exposition of the material will be centered around three specific machine learning areas: 1) supervised non-parametric probabilistic inference using Gaussian processes, 2) the TrueSkill ranking

  3. Machine Learning 4f13 Lent 2014

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/
    19 Nov 2023: LECTURE SYLLABUS. This year, the exposition of the material will be centered around three specific machine learning areas: 1) supervised non-paramtric probabilistic inference using Gaussian processes, 2) the TrueSkill ranking

  4. Machine Learning 4f13 Lent 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1415/
    19 Nov 2023: LECTURE SYLLABUS. This year, the exposition of the material will be centered around three specific machine learning areas: 1) supervised non-parametric probabilistic inference using Gaussian processes, 2) the TrueSkill ranking

  5. Probabilistic Machine Learning 4f13 Michaelmas 2016

    https://mlg.eng.cam.ac.uk/teaching/4f13/1617/
    19 Nov 2023: Lecture Syllabus. This year, the exposition of the material will be centered around three specific machine learning areas: 1) supervised non-parametric probabilistic inference using Gaussian processes, 2) the TrueSkill ranking

  6. Probabilistic Machine Learning 4f13 Michaelmas 2017

    https://mlg.eng.cam.ac.uk/teaching/4f13/1718/
    19 Nov 2023: Lecture Syllabus. This year, the exposition of the material will be centered around three specific machine learning areas: 1) supervised non-parametric probabilistic inference using Gaussian processes, 2) the TrueSkill ranking

  7. nips2007-final.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/SilChuGha08.pdf
    27 Jan 2023: This setup is very closely related to the classicseemingly unrelated regressionmodel popular in economics [12].

  8. Probabilistic Machine Learning 4f13 Michaelmas 2018

    https://mlg.eng.cam.ac.uk/teaching/4f13/1819/
    19 Nov 2023: Lecture Syllabus. This year, the exposition of the material will be centered around three specific machine learning areas: 1) supervised non-parametric probabilistic inference using Gaussian processes, 2) the TrueSkill ranking

  9. Probabilistic Machine Learning 4f13 Michaelmas 2021

    https://mlg.eng.cam.ac.uk/teaching/4f13/2122/
    19 Nov 2023: Lecture Syllabus. This year, the exposition of the material will be centered around three specific machine learning areas: 1) supervised non-parametric probabilistic inference using Gaussian processes, 2) the TrueSkill ranking

  10. Gaussian Processes for time-marked time-series data John P.…

    https://mlg.eng.cam.ac.uk/pub/pdf/CunGhaRas12.pdf
    13 Feb 2023: 3.1.2 Gameday Traffic Data. Time-marked data appears in broader contexts thanexperimental science, such as economics and finance(where for example equity volatility may depend bothon calendar events and

  11. A Nonparametric Bayesian Model for Multiple Clustering…

    https://mlg.eng.cam.ac.uk/pub/pdf/NiuDyGha12.pdf
    13 Feb 2023: This datasetis also very rich. Articles contain topics on politics,economics, business, sports and so on.

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