From 183a19e4d716d2b4a7c636f3dd7ed79e5c2bc5c8 Mon Sep 17 00:00:00 2001 From: mhjensen Date: Thu, 29 Nov 2018 04:20:24 +0100 Subject: [PATCH] cleaning up --- doc/pub/summary/html/._summary-bs000.html | 7 +- doc/pub/summary/html/._summary-bs001.html | 7 +- doc/pub/summary/html/._summary-bs002.html | 7 +- doc/pub/summary/html/._summary-bs003.html | 7 +- doc/pub/summary/html/._summary-bs004.html | 7 +- doc/pub/summary/html/._summary-bs005.html | 26 ++- doc/pub/summary/html/._summary-bs006.html | 7 +- doc/pub/summary/html/._summary-bs007.html | 9 +- doc/pub/summary/html/._summary-bs008.html | 18 +- doc/pub/summary/html/._summary-bs009.html | 157 ++++++++++++++++++ doc/pub/summary/html/summary-bs.html | 7 +- doc/pub/summary/html/summary-reveal.html | 33 ++-- doc/pub/summary/html/summary-solarized.html | 35 ++-- doc/pub/summary/html/summary.html | 35 ++-- .../summary/ipynb/ipynb-summary-src.tar.gz | Bin 2872426 -> 2872426 bytes doc/pub/summary/ipynb/summary.ipynb | 28 ++-- doc/pub/summary/pdf/summary-minted.pdf | Bin 3111955 -> 3112604 bytes doc/src/Summary/summary.do.txt | 21 ++- 18 files changed, 302 insertions(+), 109 deletions(-) create mode 100644 doc/pub/summary/html/._summary-bs009.html diff --git a/doc/pub/summary/html/._summary-bs000.html b/doc/pub/summary/html/._summary-bs000.html index 756a06171..44d322a14 100644 --- a/doc/pub/summary/html/._summary-bs000.html +++ b/doc/pub/summary/html/._summary-bs000.html @@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -92,7 +93,8 @@ end of tocinfo -->
  • Machine learning
  • Learning outcomes and overarching aims of this course
  • Other courses on Data science and Machine Learning at UiO
    • -
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • +
  • Additional courses of interest
    • +
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • @@ -149,6 +151,7 @@ end of tocinfo -->
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    • diff --git a/doc/pub/summary/html/._summary-bs001.html b/doc/pub/summary/html/._summary-bs001.html index 516cb3988..454394399 100644 --- a/doc/pub/summary/html/._summary-bs001.html +++ b/doc/pub/summary/html/._summary-bs001.html @@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -92,7 +93,8 @@ end of tocinfo -->
  • Machine learning
  • Learning outcomes and overarching aims of this course
  • Other courses on Data science and Machine Learning at UiO
    • -
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • +
  • Additional courses of interest
    • +
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • @@ -126,6 +128,7 @@ end of tocinfo -->
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  • »
    • diff --git a/doc/pub/summary/html/._summary-bs002.html b/doc/pub/summary/html/._summary-bs002.html index 63b93ac48..ce02f4ec8 100644 --- a/doc/pub/summary/html/._summary-bs002.html +++ b/doc/pub/summary/html/._summary-bs002.html @@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -92,7 +93,8 @@ end of tocinfo -->
  • Machine learning
  • Learning outcomes and overarching aims of this course
  • Other courses on Data science and Machine Learning at UiO
    • -
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • +
  • Additional courses of interest
    • +
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • @@ -131,6 +133,7 @@ Does that match the experiences you have made this semester?
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    • +
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  • »
    • diff --git a/doc/pub/summary/html/._summary-bs003.html b/doc/pub/summary/html/._summary-bs003.html index 63988a0d9..5d47ea732 100644 --- a/doc/pub/summary/html/._summary-bs003.html +++ b/doc/pub/summary/html/._summary-bs003.html @@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -92,7 +93,8 @@ end of tocinfo -->
  • Machine learning
  • Learning outcomes and overarching aims of this course
  • Other courses on Data science and Machine Learning at UiO
    • -
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • +
  • Additional courses of interest
    • +
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • @@ -131,6 +133,7 @@ The course has two central parts
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    • diff --git a/doc/pub/summary/html/._summary-bs004.html b/doc/pub/summary/html/._summary-bs004.html index 23ac8d38b..e51a4d6aa 100644 --- a/doc/pub/summary/html/._summary-bs004.html +++ b/doc/pub/summary/html/._summary-bs004.html @@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -92,7 +93,8 @@ end of tocinfo -->
  • Machine learning
  • Learning outcomes and overarching aims of this course
  • Other courses on Data science and Machine Learning at UiO
    • -
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • +
  • Additional courses of interest
    • +
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • @@ -138,6 +140,7 @@ The following topics will be covered
  • 7
  • 8
  • 9
    • +
  • 10
  • »
    • diff --git a/doc/pub/summary/html/._summary-bs005.html b/doc/pub/summary/html/._summary-bs005.html index be0e9c6d2..d7b1abb48 100644 --- a/doc/pub/summary/html/._summary-bs005.html +++ b/doc/pub/summary/html/._summary-bs005.html @@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -92,7 +93,8 @@ end of tocinfo -->
  • Machine learning
  • Learning outcomes and overarching aims of this course
  • Other courses on Data science and Machine Learning at UiO
    • -
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • +
  • Additional courses of interest
    • +
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • @@ -113,18 +115,13 @@ end of tocinfo -->

    The following topics will be covered -

    -
    %s
    - Linear methods for regression and classification; -
    %s
    - Boltzmann machines; -
    %s
    - Neural networks; -
    %s
    - Decisions trees and nearest neighbor algorithms -
    %s
    - Support vector machines -
    +
      +
    1. Linear methods for regression and classification;
      2. +
    2. Boltzmann machines;
      3. +
    3. Neural networks;
      4. +
    4. Decisions trees and nearest neighbor algorithms
      5. +
    5. Support vector machines
      6. +

    @@ -139,6 +136,7 @@ The following topics will be covered

  • 7
  • 8
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    • +
  • 10
  • »
    • diff --git a/doc/pub/summary/html/._summary-bs006.html b/doc/pub/summary/html/._summary-bs006.html index a2ccdf4e5..e54d14306 100644 --- a/doc/pub/summary/html/._summary-bs006.html +++ b/doc/pub/summary/html/._summary-bs006.html @@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -92,7 +93,8 @@ end of tocinfo -->
  • Machine learning
  • Learning outcomes and overarching aims of this course
  • Other courses on Data science and Machine Learning at UiO
    • -
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • +
  • Additional courses of interest
    • +
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • @@ -144,6 +146,7 @@ ethical conduct is emphasized throughout the course.
  • 7
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    • +
  • 10
  • »
    • diff --git a/doc/pub/summary/html/._summary-bs007.html b/doc/pub/summary/html/._summary-bs007.html index 301e16bf3..f64d65cbd 100644 --- a/doc/pub/summary/html/._summary-bs007.html +++ b/doc/pub/summary/html/._summary-bs007.html @@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -92,7 +93,8 @@ end of tocinfo -->
  • Machine learning
  • Learning outcomes and overarching aims of this course
  • Other courses on Data science and Machine Learning at UiO
    • -
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • +
  • Additional courses of interest
    • +
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • @@ -116,7 +118,7 @@ The link here STK2100 Machine learning and statistical methods for prediction and classification.
  • IN3050 Introduction to Artificial Intelligence and Machine Learning. Introductory course in machine learning and AI with an algorithmic approach.
    • -
  • "STK-INF3000/4000 Selected Topics in Data Science:"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science.
    • +
  • STK-INF3000/4000 Selected Topics in Data Science. The course provides insight into selected contemporary relevant topics within Data Science.
  • IN4080 Natural Language Processing. Probabilistic and machine learning techniques applied to natural language processing.
  • STK-IN4300 – Statistical learning methods in Data Science. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.
  • INF4490 Biologically Inspired Computing. An introduction to self-adapting methods also called artificial intelligence or machine learning.
    • @@ -138,6 +140,7 @@ The link here 7
  • 8
  • 9
    • +
  • 10
  • »
    • diff --git a/doc/pub/summary/html/._summary-bs008.html b/doc/pub/summary/html/._summary-bs008.html index 2f703b5b1..7f034f170 100644 --- a/doc/pub/summary/html/._summary-bs008.html +++ b/doc/pub/summary/html/._summary-bs008.html @@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -92,7 +93,8 @@ end of tocinfo -->
  • Machine learning
  • Learning outcomes and overarching aims of this course
  • Other courses on Data science and Machine Learning at UiO
    • -
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • +
  • Additional courses of interest
    • +
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • @@ -108,12 +110,12 @@ end of tocinfo --> -

    Best wishes to you all and thanks so much for your heroic efforts this semester

    +

    Additional courses of interest

    -

    -



    - -

    +

      +
    1. STK4051 Computational Statistics
      2. +
    2. STK4021 Applied Bayesian Analysis and Numerical Methods
      3. +

    @@ -128,6 +130,8 @@ end of tocinfo -->

  • 7
  • 8
  • 9
    • +
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    • +
  • »
    • diff --git a/doc/pub/summary/html/._summary-bs009.html b/doc/pub/summary/html/._summary-bs009.html new file mode 100644 index 000000000..f1ebcf1c3 --- /dev/null +++ b/doc/pub/summary/html/._summary-bs009.html @@ -0,0 +1,157 @@ + + + + + + + +Summary of course + + + + + + + + + + + + + + + + +
    +
    + + Summary of course +
    + +
    + +
    +
    + + +
    + +

     

     

     

    + + + + +

    Best wishes to you all and thanks so much for your heroic efforts this semester

    + +

    +



    + +

    + +

    + +

    + + +
    + + + + + + + +
    + +
    + + + + + + diff --git a/doc/pub/summary/html/summary-bs.html b/doc/pub/summary/html/summary-bs.html index 756a06171..44d322a14 100644 --- a/doc/pub/summary/html/summary-bs.html +++ b/doc/pub/summary/html/summary-bs.html @@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -92,7 +93,8 @@ end of tocinfo -->
  • Machine learning
  • Learning outcomes and overarching aims of this course
  • Other courses on Data science and Machine Learning at UiO
    • -
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • +
  • Additional courses of interest
    • +
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • @@ -149,6 +151,7 @@ end of tocinfo -->
  • 7
  • 8
  • 9
    • +
  • 10
  • »
    • diff --git a/doc/pub/summary/html/summary-reveal.html b/doc/pub/summary/html/summary-reveal.html index f9f575baf..fbdcd462c 100644 --- a/doc/pub/summary/html/summary-reveal.html +++ b/doc/pub/summary/html/summary-reveal.html @@ -200,18 +200,13 @@ The following topics will be covered

    The following topics will be covered -

    -
    %s
    - Linear methods for regression and classification; -
    %s
    - Boltzmann machines; -
    %s
    - Neural networks; -
    %s
    - Decisions trees and nearest neighbor algorithms -
    %s
    - Support vector machines -
    +
      +

    1. Linear methods for regression and classification;
      2. +

    2. Boltzmann machines;
      3. +

    3. Neural networks;
      4. +

    4. Decisions trees and nearest neighbor algorithms
      5. +

    5. Support vector machines
      6. +
    @@ -250,7 +245,7 @@ The link here STK2100 Machine learning and statistical methods for prediction and classification.

  • IN3050 Introduction to Artificial Intelligence and Machine Learning. Introductory course in machine learning and AI with an algorithmic approach.
    • -

  • "STK-INF3000/4000 Selected Topics in Data Science:"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science.
    • +

  • STK-INF3000/4000 Selected Topics in Data Science. The course provides insight into selected contemporary relevant topics within Data Science.

  • IN4080 Natural Language Processing. Probabilistic and machine learning techniques applied to natural language processing.

  • STK-IN4300 – Statistical learning methods in Data Science. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.

  • INF4490 Biologically Inspired Computing. An introduction to self-adapting methods also called artificial intelligence or machine learning.
    • @@ -262,7 +257,17 @@ The link here Best wishes to you all and thanks so much for your heroic efforts this semester +

    Additional courses of interest

    + +
      +

    1. STK4051 Computational Statistics
      2. +

    2. STK4021 Applied Bayesian Analysis and Numerical Methods
      3. +
    + + + +
    +

    Best wishes to you all and thanks so much for your heroic efforts this semester





    diff --git a/doc/pub/summary/html/summary-solarized.html b/doc/pub/summary/html/summary-solarized.html index ac1894905..07d21aa85 100644 --- a/doc/pub/summary/html/summary-solarized.html +++ b/doc/pub/summary/html/summary-solarized.html @@ -53,11 +53,12 @@ div { text-align: justify; text-justify: inter-word; } 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -143,18 +144,13 @@ The following topics will be covered

    The following topics will be covered -

    -
    %s
    - Linear methods for regression and classification; -
    %s
    - Boltzmann machines; -
    %s
    - Neural networks; -
    %s
    - Decisions trees and nearest neighbor algorithms -
    %s
    - Support vector machines -
    +
      +
    1. Linear methods for regression and classification;
      2. +
    2. Boltzmann machines;
      3. +
    3. Neural networks;
      4. +
    4. Decisions trees and nearest neighbor algorithms
      5. +
    5. Support vector machines
      6. +










    @@ -191,7 +187,7 @@ The link here STK2100 Machine learning and statistical methods for prediction and classification.
  • IN3050 Introduction to Artificial Intelligence and Machine Learning. Introductory course in machine learning and AI with an algorithmic approach.
    • -
  • "STK-INF3000/4000 Selected Topics in Data Science:"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science.
    • +
  • STK-INF3000/4000 Selected Topics in Data Science. The course provides insight into selected contemporary relevant topics within Data Science.
  • IN4080 Natural Language Processing. Probabilistic and machine learning techniques applied to natural language processing.
  • STK-IN4300 – Statistical learning methods in Data Science. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.
  • INF4490 Biologically Inspired Computing. An introduction to self-adapting methods also called artificial intelligence or machine learning.
    • @@ -202,7 +198,16 @@ The link here Best wishes to you all and thanks so much for your heroic efforts this semester +

    Additional courses of interest

    + +
      +
    1. STK4051 Computational Statistics
      2. +
    2. STK4021 Applied Bayesian Analysis and Numerical Methods
      3. +
    + +









    + +

    Best wishes to you all and thanks so much for your heroic efforts this semester





    diff --git a/doc/pub/summary/html/summary.html b/doc/pub/summary/html/summary.html index 0b5071d6a..6063bafdc 100644 --- a/doc/pub/summary/html/summary.html +++ b/doc/pub/summary/html/summary.html @@ -58,11 +58,12 @@ div { text-align: justify; text-justify: inter-word; } 2, None, '___sec6'), + ('Additional courses of interest', 2, None, '___sec7'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, None, - '___sec7')]} + '___sec8')]} end of tocinfo --> @@ -148,18 +149,13 @@ The following topics will be covered

    The following topics will be covered -

    -
    %s
    - Linear methods for regression and classification; -
    %s
    - Boltzmann machines; -
    %s
    - Neural networks; -
    %s
    - Decisions trees and nearest neighbor algorithms -
    %s
    - Support vector machines -
    +
      +
    1. Linear methods for regression and classification;
      2. +
    2. Boltzmann machines;
      3. +
    3. Neural networks;
      4. +
    4. Decisions trees and nearest neighbor algorithms
      5. +
    5. Support vector machines
      6. +










    @@ -196,7 +192,7 @@ The link here STK2100 Machine learning and statistical methods for prediction and classification.
  • IN3050 Introduction to Artificial Intelligence and Machine Learning. Introductory course in machine learning and AI with an algorithmic approach.
    • -
  • "STK-INF3000/4000 Selected Topics in Data Science:"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science.
    • +
  • STK-INF3000/4000 Selected Topics in Data Science. The course provides insight into selected contemporary relevant topics within Data Science.
  • IN4080 Natural Language Processing. Probabilistic and machine learning techniques applied to natural language processing.
  • STK-IN4300 – Statistical learning methods in Data Science. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.
  • INF4490 Biologically Inspired Computing. An introduction to self-adapting methods also called artificial intelligence or machine learning.
    • @@ -207,7 +203,16 @@ The link here Best wishes to you all and thanks so much for your heroic efforts this semester +

    Additional courses of interest

    + +
      +
    1. STK4051 Computational Statistics
      2. +
    2. STK4021 Applied Bayesian Analysis and Numerical Methods
      3. +
    + +









    + +

    Best wishes to you all and thanks so much for your heroic efforts this semester





    diff --git a/doc/pub/summary/ipynb/ipynb-summary-src.tar.gz b/doc/pub/summary/ipynb/ipynb-summary-src.tar.gz index 8838b7403d348fd626fd2860b747dd20b99b1ef1..98c43552a6c09277ab5cbdae6072ef0043e513f2 100644 GIT binary patch delta 148 zcmWN_xdFid06((m>_0x3&H zLa9nIHHoAyu{5M9EonYniNO8^O?@y2yNMBLu{>YF(%2JU~ zs!~i%BB@I(4QWbC+R~A(^rSBX8Olh;lE_4+GLyM1WGO32Wi1=o%1-ujkfWUBEElTM{C? diff --git a/doc/pub/summary/ipynb/summary.ipynb b/doc/pub/summary/ipynb/summary.ipynb index eb2a8a269..3447188df 100644 --- a/doc/pub/summary/ipynb/summary.ipynb +++ b/doc/pub/summary/ipynb/summary.ipynb @@ -83,25 +83,15 @@ "## Machine learning\n", "\n", "The following topics will be covered\n", - "%s\n", - " : \n", - " Linear methods for regression and classification;\n", + "1. Linear methods for regression and classification;\n", "\n", - "%s\n", - " : \n", - " Boltzmann machines;\n", + "2. Boltzmann machines;\n", "\n", - "%s\n", - " : \n", - " Neural networks;\n", + "3. Neural networks;\n", "\n", - "%s\n", - " : \n", - " Decisions trees and nearest neighbor algorithms\n", + "4. Decisions trees and nearest neighbor algorithms\n", "\n", - "%s\n", - " : \n", - " Support vector machines\n", + "5. Support vector machines\n", "\n", "## Learning outcomes and overarching aims of this course\n", "\n", @@ -137,7 +127,7 @@ "\n", "2. [IN3050 Introduction to Artificial Intelligence and Machine Learning](https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html). Introductory course in machine learning and AI with an algorithmic approach. \n", "\n", - "3. \"STK-INF3000/4000 Selected Topics in Data Science:\"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html\". The course provides insight into selected contemporary relevant topics within Data Science. \n", + "3. [STK-INF3000/4000 Selected Topics in Data Science](http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html). The course provides insight into selected contemporary relevant topics within Data Science. \n", "\n", "4. [IN4080 Natural Language Processing](https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html). Probabilistic and machine learning techniques applied to natural language processing. \n", "\n", @@ -151,6 +141,12 @@ "\n", "9. [TEK5040 – Dyp læring for autonome systemer](https://www.uio.no/studier/emner/matnat/its/TEK5040/). The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.\n", "\n", + "## Additional courses of interest\n", + "\n", + "1. [STK4051 Computational Statistics](https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html)\n", + "\n", + "2. [STK4021 Applied Bayesian Analysis and Numerical Methods](https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html)\n", + "\n", "## Best wishes to you all and thanks so much for your heroic efforts this semester\n", "\n", "\n", diff --git a/doc/pub/summary/pdf/summary-minted.pdf b/doc/pub/summary/pdf/summary-minted.pdf index 9b9b07418878a3ed4c21c30148255dda96850a36..8ff5019d4b90fde1d4b967c561905d6a59bf8df4 100644 GIT binary patch delta 55799 zcmZshV{D*b6y|GlYTLGL+nw6B+qZV7o!afxwymjcOl{lR|7LfSO?FT6OHOifzTMpC zIp^M_mu}GP&u-AbP|#4YQ1DQQP{>fIQ0P#YP}oqoQ20=UP{dHAP~=dQP}I;Lp=hD# zp%|fJ(nO3$&@2{pK_1oBx}ZX&yk3b{m}ostZ4(@=9pig;Sl{MFanw3Bpg zu@9GZpaFe!t+zkh{g`!A{QSvfquZmO_vgiHR#o(RQS}{dM^6;1CM5%1VMSF^7j@ye z;2XN-*irnsp;Bpq(gv%-e%ilLhen2I)~m(ED4>u->w)%5(4oZ}EoRz21}j~E=+X_ zrw{|fTKJ&7YAXi8wAQkPOy(eUTmv;-R#8PipLa%GxWo$C#W(fHJ~6wrb%U3>kvGA! z3E-sJLccX86PJkGwB^{Kjazx>AW88_=!??y0Xn5Mk8OEW_#THQvs|k&5nVK?r+R7j z(H7)18IrQIKHt6!r<;*XnB&5HHAC(nUm6|L=0!o7Y~kLfiD2^J%1BMG$<=h1xPL+L 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zmmppix?%^aY(BbM35A0C7bCqEgg7~;JTI2s)y2t^S3 zf@(Gr$cW5xWbT=oGkboS_RDy8f%X) z(5HJaf|Rf~XJVw_%LBB4<%`Q*Teb)qhhqZW*KVU4Wg!d7EA>}Go5A86tXLTy(W1$2 zo7Ghh670G6bG;70ss4AXnC`p_XDO2}6+#P{jgn>)de%MEgeAW>J`d|5--RgyAbLx2 zjDAa5I&H$zXBDTRUJZb6{3Xu=X^r=LPlQ%MSK{KsIpME-5vAX5lP2=s5Ku8WH&2qGx@ z!Th`gwRu&AP<7)(qAA}22lQ-VT-#h#k5yqvTE=>N8P znn>No+0N4*BqRv?ck6fn5nXv5vfwp;6pzjdDnCw3->&T150;u1!yBSivN@l8P`#&N z-{bsi-08if1W!wQ=^*T-Tj(-H7L=N6 z#F`e2I_oP9#U{e&I;2_y3p$p=dU;C`3UMw^ga8^=JK z0IH4WMf?G7A1t7dPd*RA{X-l=`1Sb+e2f@hHrY5i=C*>gc@@PZpEj-&jh4=}D}-S; zOnNs$hl-3Rce3xN0JAr9aql~-5Dlsbob*tx^lU-guBy1Ro~rv8Z} zEt@bQ<4Bq|dA_st+L?!I*r#y%TO-8ONpbNrTBU&-P+d3u3oqNLGREk%xE^)K6&2x{ z%9gxTbLS-8hh3vV{hf=H_=rC<@b1{*0Tn-(Z}h)mVDskPztX=U;Nkhk-P70oY4?R7 R5Qvb7ATAr5qLvcw{{tElCmH|% diff --git a/doc/src/Summary/summary.do.txt b/doc/src/Summary/summary.do.txt index e1d048456..8ce7a9cc0 100644 --- a/doc/src/Summary/summary.do.txt +++ b/doc/src/Summary/summary.do.txt @@ -44,11 +44,11 @@ o Principal Component Analysis. ===== Machine learning ===== The following topics will be covered -- Linear methods for regression and classification; -- Boltzmann machines; -- Neural networks; -- Decisions trees and nearest neighbor algorithms -- Support vector machines +o Linear methods for regression and classification; +o Boltzmann machines; +o Neural networks; +o Decisions trees and nearest neighbor algorithms +o Support vector machines !split @@ -83,21 +83,20 @@ ethical conduct is emphasized throughout the course. The link here URL:"https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" gives an excellent overview of courses on Machine learning at UiO. o "STK2100 Machine learning and statistical methods for prediction and classification":"http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html". - o "IN3050 Introduction to Artificial Intelligence and Machine Learning":"https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html". Introductory course in machine learning and AI with an algorithmic approach. - -o "STK-INF3000/4000 Selected Topics in Data Science:"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science. - +o "STK-INF3000/4000 Selected Topics in Data Science":"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science. o "IN4080 Natural Language Processing":"https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html". Probabilistic and machine learning techniques applied to natural language processing. - o "STK-IN4300 – Statistical learning methods in Data Science":"https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html". An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background. o "INF4490 Biologically Inspired Computing":"http://www.uio.no/studier/emner/matnat/ifi/INF4490/". An introduction to self-adapting methods also called artificial intelligence or machine learning. o "IN-STK5000 Adaptive Methods for Data-Based Decision Making":"https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html". Methods for adaptive collection and processing of data based on machine learning techniques. o "IN5400/INF5860 – Machine Learning for Image Analysis":"https://www.uio.no/studier/emner/matnat/ifi/IN5400/". An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too. o "TEK5040 – Dyp læring for autonome systemer":"https://www.uio.no/studier/emner/matnat/its/TEK5040/". The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments. +!split +===== Additional courses of interest ===== - +o "STK4051 Computational Statistics":"https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" +o "STK4021 Applied Bayesian Analysis and Numerical Methods":"https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" !split ===== Best wishes to you all and thanks so much for your heroic efforts this semester =====