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Did you mean economics at caius |u:mlg.eng.cam.ac.uk?
1 - 10 of 31 search results for Economics Syllabus |u:mlg.eng.cam.ac.uk where 5 match all words and 26 match some words.

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  2. 3F3: Signal and Pattern Processing Lecture 1: Introduction to ...

    https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect1.pdf
    19 Nov 2023: Computational Neuroscience: neuronal networks, neural information processing,. • Economics: decision theory, game theory, operational research,. ... Syllabus (resources page): 10/10 1 -Introduction to Unsupervised Learning Geoff project: (ps, pdf).

  3. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf
    19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • ... Syllabus (resources page): 10/10 1 -Introduction to Unsupervised Learning Geoff project: (ps, pdf

  4. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect01.pdf
    19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • ... Syllabus (resources page): 10/10 1 -Introduction to Unsupervised Learning Geoff project: (ps, pdf

  5. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect01.pdf
    19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • ... Syllabus (resources page): 10/10 1 -Introduction to Unsupervised Learning Geoff project: (ps, pdf

  6. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect01.pdf
    19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • ... Syllabus (resources page): 10/10 1 -Introduction to Unsupervised Learning Geoff project: (ps, pdf

  7. Results that match 1 of 2 words

  8. Probabilistic Machine Learning 4f13 Michaelmas 2023

    https://mlg.eng.cam.ac.uk/teaching/4f13/2324/
    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. Machine Learning 4f13 Lent 2013

    https://mlg.eng.cam.ac.uk/teaching/4f13/1213/
    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

  10. Machine Learning 4f13 Lent 2008

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/
    19 Nov 2023: LECTURE SYLLABUS. Jan 18 . Introduction to Machine Learning(1L): review of probabilistic models, relation to coding terminology: Bayes rule, supervised, unsupervised and reinforcement learning.

  11. Machine Learning 4f13 Lent 2009

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/
    19 Nov 2023: LECTURE SYLLABUS. Jan 16 . Introduction to Machine Learning(1L): review of probabilistic models, relation to coding terminology: Bayes rule, supervised, unsupervised and reinforcement learning.

  12. Machine Learning 4f13 Lent 2012

    https://mlg.eng.cam.ac.uk/teaching/4f13/1112/
    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 latent Dirichlet

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