From d1716c0f9362da6368a0d1e44e9d0dcaed48c6ce Mon Sep 17 00:00:00 2001 From: mhjensen Date: Tue, 20 Aug 2019 12:58:42 +0200 Subject: [PATCH] update course info page --- doc/web/course.dlog | 4 + doc/web/course.do.txt | 61 +----------- doc/web/course.do.txt~ | 52 +++++----- doc/web/course.html | 134 +++++++++----------------- doc/web/tmp_mako__course.do.txt | 61 +----------- doc/web/tmp_preprocess__course.do.txt | 61 +----------- 6 files changed, 88 insertions(+), 285 deletions(-) diff --git a/doc/web/course.dlog b/doc/web/course.dlog index 3a79060c2..f5cc80b0c 100644 --- a/doc/web/course.dlog +++ b/doc/web/course.dlog @@ -106,3 +106,7 @@ running preprocess -DFORMAT=html -DDEVICE=screen course.do.txt > tmp_preprocess running mako on tmp_preprocess__course.do.txt to make tmp_mako__course.do.txt translating doconce text in tmp_mako__course.do.txt to html output in course.html +running preprocess -DFORMAT=html -DDEVICE=screen course.do.txt > tmp_preprocess__course.do.txt +running mako on tmp_preprocess__course.do.txt to make tmp_mako__course.do.txt +translating doconce text in tmp_mako__course.do.txt to html +output in course.html diff --git a/doc/web/course.do.txt b/doc/web/course.do.txt index f0d477046..04bacdb3a 100644 --- a/doc/web/course.do.txt +++ b/doc/web/course.do.txt @@ -79,23 +79,12 @@ ${text_types(ch)} % endfor -!split -===== Python and Scikit Learn, a short guide ===== - * HTML format only: - * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/ComputationalPhysics/doc/pub/learningpython/html/learningpython-bs.html" - -!split -===== Teach yourself C++ ===== - * HTML format only: - * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/ComputationalPhysics/doc/pub/learningcpp/html/learningcpp-bs.html" - - !split ===== Projects and Exercises Fall 2019 ===== -=== First homework set, week 35 === +=== First homework set, week 35 (Available August 20) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/pdf/hw1.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/pdf/hw1.pdf" @@ -103,7 +92,7 @@ ${text_types(ch)} * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/html/hw1.html" * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/html/hw1-bs.html" -=== Second homework set, week 36 === +=== Second homework set, week 36 (Available August 26) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/pdf/hw2.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/pdf/hw2.pdf" @@ -113,7 +102,7 @@ ${text_types(ch)} -=== Project 1, Deadline September 30 === +=== Project 1, Deadline September 30 (available August 26) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/pdf/Project1.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/pdf/Project1.pdf" @@ -122,7 +111,7 @@ ${text_types(ch)} * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html" -=== Project 2, Deadline November 4 === +=== Project 2, Deadline November 4 (avaliable September 23) === * LaTeX and PDF: * "Latex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/pdf/Project2.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/pdf/Project2.pdf" @@ -130,7 +119,7 @@ ${text_types(ch)} * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/html/Project2.html" * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/html/Project2-bs.html" -=== Project 3, Deadline December 13 === +=== Project 3, Deadline December 13 (available October 28) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/pdf/Project3.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/pdf/Project3.pdf" @@ -235,43 +224,3 @@ _General Machine Learning Books_: -!split -===== Teaching schedule Fall 2019 ===== - -Acronyms for textbooks and references to chapter -* HTF: "Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer":"https://www.springer.com/gp/book/9780387848570" -* AG: "Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly":"http://shop.oreilly.com/product/0636920052289.do" - -|----------------------------------------------------------------------------------------------------------------------------| -| Week and days | Topics to be covered | Projects, exercises and deadlines | Reading assignments| Lab activities | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 34| Introduction and regression analysis | Exercises TBD | HTF chapters 1-3 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html"| No lab first week | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 35 | Regression analysis | Exercises TBD | HTF chapter 3 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html"| Introduction to Git, GitHub and Python software, Python technicalities and work on exercises| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 36 | Regression analysis and nearest neighbors| Exercises TBD | HTF chapters 3, 4 and 13 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on exercises| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 37 | Classification and logistic regression | "Presentation of Project 1, deadline October 1":"https://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html" | HTF chapter 4 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on project 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 38 | Optimization methods | Exercises and project 1 | HTF chapter 5 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Splines/html/Splines-bs.html" | Work on project 1, deadline October 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 39 | Logistic regression and optimization | Project 1 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Bayesian/html/Bayesian-bs.html" | Work on Project 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 40 | Neural Networks | Presentation of project 2, deadline November 12 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" | Deadline project 1, October 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 41 | Neural Networks | Project 2 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 42 | Neural Networks | Project 2 | HTF chapter 11 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 43 | Dimensionality reduction and support vector machines | Project 2 | HTF chapters 3 and 12 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 44 | SVM and tree and forest models | Project 2 | HTF chapter 9 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 45 | SVM and tree and forest models | Presentation and discussion of project 3 | HTF chapter 14 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM-bs.html" | Deadline project 2 November 12 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 46 | Bayesian statitics | Project 3, deadline December 14 | | Work on project 3 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 47 | Unsupervised learning, Boltzmann machines | Project 3 | | Work on project 3 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 48 | Summary of course and final workshop | Project 3 | Lecture notes | Final workshop with presentation of project 3 (TBA)| -|----------------------------------------------------------------------------------------------------------------------------| diff --git a/doc/web/course.do.txt~ b/doc/web/course.do.txt~ index 7d492f194..f0d477046 100644 --- a/doc/web/course.do.txt~ +++ b/doc/web/course.do.txt~ @@ -93,50 +93,50 @@ ${text_types(ch)} !split -===== Projects and Exercises Fall 2018 ===== +===== Projects and Exercises Fall 2019 ===== === First homework set, week 35 === * LaTeX and PDF: - * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw1/pdf/hw1.tex" - * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw1/pdf/hw1.pdf" + * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/pdf/hw1.tex" + * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/pdf/hw1.pdf" * HTML: - * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw1/html/hw1.html" - * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw1/html/hw1-bs.html" + * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/html/hw1.html" + * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/html/hw1-bs.html" === Second homework set, week 36 === * LaTeX and PDF: - * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw2/pdf/hw2.tex" - * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw2/pdf/hw2.pdf" + * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/pdf/hw2.tex" + * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/pdf/hw2.pdf" * HTML: - * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw2/html/hw2.html" - * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw2/html/hw2-bs.html" + * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/html/hw2.html" + * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/html/hw2-bs.html" -=== Project 1, Deadline October 1 === +=== Project 1, Deadline September 30 === * LaTeX and PDF: - * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project1/pdf/Project1.tex" - * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project1/pdf/Project1.pdf" + * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/pdf/Project1.tex" + * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/pdf/Project1.pdf" * HTML: - * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project1/html/Project1.html" - * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project1/html/Project1-bs.html" + * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1.html" + * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html" -=== Project 2, Deadline November 5 === +=== Project 2, Deadline November 4 === * LaTeX and PDF: - * "Latex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project2/pdf/Project2.tex" - * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project2/pdf/Project2.pdf" + * "Latex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/pdf/Project2.tex" + * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/pdf/Project2.pdf" * HTML: - * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project2/html/Project2.html" - * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project2/html/Project2-bs.html" + * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/html/Project2.html" + * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/html/Project2-bs.html" -=== Project 3, Deadline December 14 === +=== Project 3, Deadline December 13 === * LaTeX and PDF: - * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project3/pdf/Project3.tex" - * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project3/pdf/Project3.pdf" + * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/pdf/Project3.tex" + * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/pdf/Project3.pdf" * HTML: - * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project3/html/Project3.html" - * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project3/html/Project3-bs.html" + * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/html/Project3.html" + * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/html/Project3-bs.html" @@ -236,7 +236,7 @@ _General Machine Learning Books_: !split -===== Teaching schedule Fall 2018 ===== +===== Teaching schedule Fall 2019 ===== Acronyms for textbooks and references to chapter * HTF: "Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer":"https://www.springer.com/gp/book/9780387848570" @@ -251,7 +251,7 @@ Acronyms for textbooks and references to chapter |----------------------------------------------------------------------------------------------------------------------------| | Week 36 | Regression analysis and nearest neighbors| Exercises TBD | HTF chapters 3, 4 and 13 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on exercises| |----------------------------------------------------------------------------------------------------------------------------| -| Week 37 | Classification and logistic regression | "Presentation of Project 1, deadline October 1":"https://compphysics.github.io/MachineLearning/doc/Projects/2018/Project1/html/Project1-bs.html" | HTF chapter 4 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on project 1| +| Week 37 | Classification and logistic regression | "Presentation of Project 1, deadline October 1":"https://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html" | HTF chapter 4 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on project 1| |----------------------------------------------------------------------------------------------------------------------------| | Week 38 | Optimization methods | Exercises and project 1 | HTF chapter 5 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Splines/html/Splines-bs.html" | Work on project 1, deadline October 1| |----------------------------------------------------------------------------------------------------------------------------| diff --git a/doc/web/course.html b/doc/web/course.html index 98391683b..4a91eecaf 100644 --- a/doc/web/course.html +++ b/doc/web/course.html @@ -113,30 +113,42 @@ div { text-align: justify; text-justify: inter-word; } None, '___sec17'), ('Summary', 2, None, '___sec18'), - ('Python and Scikit Learn, a short guide', 2, None, '___sec19'), - ('Teach yourself C++', 2, None, '___sec20'), - ('Projects and Exercises Fall 2019', 2, None, '___sec21'), - ('First homework set, week 35', 3, None, '___sec22'), - ('Second homework set, week 36', 3, None, '___sec23'), - ('Project 1, Deadline September 30', 3, None, '___sec24'), - ('Project 2, Deadline November 4', 3, None, '___sec25'), - ('Project 3, Deadline December 13', 3, None, '___sec26'), - ('Course content', 3, None, '___sec27'), - ('Learning outcomes', 2, None, '___sec28'), - ('Prerequisites', 2, None, '___sec29'), - ('The course has two central parts', 2, None, '___sec30'), + ('Projects and Exercises Fall 2019', 2, None, '___sec19'), + ('First homework set, week 35 (Available August 20)', + 3, + None, + '___sec20'), + ('Second homework set, week 36 (Available August 26)', + 3, + None, + '___sec21'), + ('Project 1, Deadline September 30 (available August 26)', + 3, + None, + '___sec22'), + ('Project 2, Deadline November 4 (avaliable September 23)', + 3, + None, + '___sec23'), + ('Project 3, Deadline December 13 (available October 28)', + 3, + None, + '___sec24'), + ('Course content', 3, None, '___sec25'), + ('Learning outcomes', 2, None, '___sec26'), + ('Prerequisites', 2, None, '___sec27'), + ('The course has two central parts', 2, None, '___sec28'), ('Statistical analysis and optimization of data', 3, None, - '___sec31'), - ('Machine learning', 3, None, '___sec32'), - ('Recommended textbooks', 2, None, '___sec33'), + '___sec29'), + ('Machine learning', 3, None, '___sec30'), + ('Recommended textbooks', 2, None, '___sec31'), ('"Other ' 'textbooks":"https://github.com/CompPhysics/MachineLearning/tree/master/doc/Textbooks"', 2, None, - '___sec34'), - ('Teaching schedule Fall 2019', 2, None, '___sec35')]} + '___sec32')]} end of tocinfo --> @@ -752,35 +764,9 @@ formulas in HTML or ipython notebook files. -

Python and Scikit Learn, a short guide

+

Projects and Exercises Fall 2019

- - - - -

Teach yourself C++

- - - - - -

Projects and Exercises Fall 2019

- -

First homework set, week 35

+

First homework set, week 35 (Available August 20)

-

Second homework set, week 36

+

Second homework set, week 36 (Available August 26)

-

Project 1, Deadline September 30

+

Project 1, Deadline September 30 (available August 26)

-

Project 2, Deadline November 4

+

Project 2, Deadline November 4 (avaliable September 23)

-

Project 3, Deadline December 13

+

Project 3, Deadline December 13 (available October 28)

-

Course content

+

Course content

Probability theory and statistical methods play a central role in science. Nowadays we are @@ -894,7 +880,7 @@ tools of probability theory, the aim of this course is to expose you to central This course covers thus topics like Monte Carlo methods and Markov chains, Bayesian statistics, error estimates, various linear methods, optimization of data and error analysis and central algorithms in machine learning. The course has several numerical projects and numerical exercises that are meant to illustrate the theory. -

Learning outcomes

+

Learning outcomes

The course introduces a variety of central algorithms and methods @@ -911,19 +897,19 @@ essential for studies of data analysis and machine learning. The course is proje

  • Work on numerical projects to illustrate the theory. The projects play a central role and students are expected to know modern programming languages like Python or C++.
    • -

    Prerequisites

    +

    Prerequisites

    Basic knowledge in programming and numerics. Required courses are the equivalents to the University of Oslo mathematics courses MAT1100, MAT1110, MAT1120 and at least one of the corresponding computing and programming courses INF1000/INF1110 or MAT-INF1100/MAT-INF1100L/BIOS1100/KJM-INF1xxx. -

    The course has two central parts

    +

    The course has two central parts

    1. Statistical analysis and optimization of data
    2. Machine learning
    -

    Statistical analysis and optimization of data

    +

    Statistical analysis and optimization of data

    The following topics will be covered @@ -940,7 +926,7 @@ The following topics will be covered

  • Practical optimization using Singular-value decomposition and least squares for parameterizing data.
    • -

    Machine learning

    +

    Machine learning

    The following topics will be covered @@ -956,14 +942,14 @@ The following topics will be covered All the above topics will be supported by examples, hands-on exercises and project work. -

    Recommended textbooks

    +

    Recommended textbooks

    -

    Other textbooks

    +

    Other textbooks

    General learning book on statistical analysis: @@ -983,40 +969,6 @@ All the above topics will be supported by examples, hands-on exercises and proje

  • David Barber, Bayesian Reasoning and Machine Learning, Cambridge University Press
    • - - -

    Teaching schedule Fall 2019

    - -

    -Acronyms for textbooks and references to chapter - -

    - - - - - - - - - - - - - - - - - - - - - - -
    Week and days Topics to be covered Projects, exercises and deadlines Reading assignments Lab activities
    Week 34 Introduction and regression analysis Exercises TBD HTF chapters 1-3 and lecture notes No lab first week
    Week 35 Regression analysis Exercises TBD HTF chapter 3 and lecture notes Introduction to Git, GitHub and Python software, Python technicalities and work on exercises
    Week 36 Regression analysis and nearest neighbors Exercises TBD HTF chapters 3, 4 and 13 and lecture notes Work on exercises
    Week 37 Classification and logistic regression Presentation of Project 1, deadline October 1 HTF chapter 4 and lecture notes Work on project 1
    Week 38 Optimization methods Exercises and project 1 HTF chapter 5 and lecture notes Work on project 1, deadline October 1
    Week 39 Logistic regression and optimization Project 1 Lecture notes Work on Project 1
    Week 40 Neural Networks Presentation of project 2, deadline November 12 Lecture notes Deadline project 1, October 1
    Week 41 Neural Networks Project 2 Lecture notes Work on project 2
    Week 42 Neural Networks Project 2 HTF chapter 11 and lecture notes Work on project 2
    Week 43 Dimensionality reduction and support vector machines Project 2 HTF chapters 3 and 12 and lecture notes Work on project 2
    Week 44 SVM and tree and forest models Project 2 HTF chapter 9 and lecture notes Work on project 2
    Week 45 SVM and tree and forest models Presentation and discussion of project 3 HTF chapter 14 and lecture notes Deadline project 2 November 12
    Week 46 Bayesian statitics Project 3, deadline December 14 Work on project 3
    Week 47 Unsupervised learning, Boltzmann machines Project 3 Work on project 3
    Week 48 Summary of course and final workshop Project 3 Lecture notes Final workshop with presentation of project 3 (TBA)
    diff --git a/doc/web/tmp_mako__course.do.txt b/doc/web/tmp_mako__course.do.txt index 35af90188..c5d554a1b 100644 --- a/doc/web/tmp_mako__course.do.txt +++ b/doc/web/tmp_mako__course.do.txt @@ -298,23 +298,12 @@ formulas in HTML or ipython notebook files. -!split -===== Python and Scikit Learn, a short guide ===== - * HTML format only: - * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/ComputationalPhysics/doc/pub/learningpython/html/learningpython-bs.html" - -!split -===== Teach yourself C++ ===== - * HTML format only: - * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/ComputationalPhysics/doc/pub/learningcpp/html/learningcpp-bs.html" - - !split ===== Projects and Exercises Fall 2019 ===== -=== First homework set, week 35 === +=== First homework set, week 35 (Available August 20) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/pdf/hw1.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/pdf/hw1.pdf" @@ -322,7 +311,7 @@ formulas in HTML or ipython notebook files. * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/html/hw1.html" * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/html/hw1-bs.html" -=== Second homework set, week 36 === +=== Second homework set, week 36 (Available August 26) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/pdf/hw2.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/pdf/hw2.pdf" @@ -332,7 +321,7 @@ formulas in HTML or ipython notebook files. -=== Project 1, Deadline September 30 === +=== Project 1, Deadline September 30 (available August 26) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/pdf/Project1.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/pdf/Project1.pdf" @@ -341,7 +330,7 @@ formulas in HTML or ipython notebook files. * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html" -=== Project 2, Deadline November 4 === +=== Project 2, Deadline November 4 (avaliable September 23) === * LaTeX and PDF: * "Latex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/pdf/Project2.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/pdf/Project2.pdf" @@ -349,7 +338,7 @@ formulas in HTML or ipython notebook files. * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/html/Project2.html" * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/html/Project2-bs.html" -=== Project 3, Deadline December 13 === +=== Project 3, Deadline December 13 (available October 28) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/pdf/Project3.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/pdf/Project3.pdf" @@ -454,43 +443,3 @@ _General Machine Learning Books_: -!split -===== Teaching schedule Fall 2019 ===== - -Acronyms for textbooks and references to chapter -* HTF: "Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer":"https://www.springer.com/gp/book/9780387848570" -* AG: "Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly":"http://shop.oreilly.com/product/0636920052289.do" - -|----------------------------------------------------------------------------------------------------------------------------| -| Week and days | Topics to be covered | Projects, exercises and deadlines | Reading assignments| Lab activities | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 34| Introduction and regression analysis | Exercises TBD | HTF chapters 1-3 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html"| No lab first week | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 35 | Regression analysis | Exercises TBD | HTF chapter 3 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html"| Introduction to Git, GitHub and Python software, Python technicalities and work on exercises| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 36 | Regression analysis and nearest neighbors| Exercises TBD | HTF chapters 3, 4 and 13 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on exercises| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 37 | Classification and logistic regression | "Presentation of Project 1, deadline October 1":"https://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html" | HTF chapter 4 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on project 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 38 | Optimization methods | Exercises and project 1 | HTF chapter 5 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Splines/html/Splines-bs.html" | Work on project 1, deadline October 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 39 | Logistic regression and optimization | Project 1 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Bayesian/html/Bayesian-bs.html" | Work on Project 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 40 | Neural Networks | Presentation of project 2, deadline November 12 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" | Deadline project 1, October 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 41 | Neural Networks | Project 2 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 42 | Neural Networks | Project 2 | HTF chapter 11 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 43 | Dimensionality reduction and support vector machines | Project 2 | HTF chapters 3 and 12 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 44 | SVM and tree and forest models | Project 2 | HTF chapter 9 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 45 | SVM and tree and forest models | Presentation and discussion of project 3 | HTF chapter 14 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM-bs.html" | Deadline project 2 November 12 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 46 | Bayesian statitics | Project 3, deadline December 14 | | Work on project 3 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 47 | Unsupervised learning, Boltzmann machines | Project 3 | | Work on project 3 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 48 | Summary of course and final workshop | Project 3 | Lecture notes | Final workshop with presentation of project 3 (TBA)| -|----------------------------------------------------------------------------------------------------------------------------| diff --git a/doc/web/tmp_preprocess__course.do.txt b/doc/web/tmp_preprocess__course.do.txt index 1bcbd567e..7a05fe013 100644 --- a/doc/web/tmp_preprocess__course.do.txt +++ b/doc/web/tmp_preprocess__course.do.txt @@ -73,23 +73,12 @@ ${text_types(ch)} % endfor -!split -===== Python and Scikit Learn, a short guide ===== - * HTML format only: - * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/ComputationalPhysics/doc/pub/learningpython/html/learningpython-bs.html" - -!split -===== Teach yourself C++ ===== - * HTML format only: - * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/ComputationalPhysics/doc/pub/learningcpp/html/learningcpp-bs.html" - - !split ===== Projects and Exercises Fall 2019 ===== -=== First homework set, week 35 === +=== First homework set, week 35 (Available August 20) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/pdf/hw1.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/pdf/hw1.pdf" @@ -97,7 +86,7 @@ ${text_types(ch)} * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/html/hw1.html" * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/html/hw1-bs.html" -=== Second homework set, week 36 === +=== Second homework set, week 36 (Available August 26) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/pdf/hw2.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/pdf/hw2.pdf" @@ -107,7 +96,7 @@ ${text_types(ch)} -=== Project 1, Deadline September 30 === +=== Project 1, Deadline September 30 (available August 26) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/pdf/Project1.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/pdf/Project1.pdf" @@ -116,7 +105,7 @@ ${text_types(ch)} * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html" -=== Project 2, Deadline November 4 === +=== Project 2, Deadline November 4 (avaliable September 23) === * LaTeX and PDF: * "Latex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/pdf/Project2.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/pdf/Project2.pdf" @@ -124,7 +113,7 @@ ${text_types(ch)} * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/html/Project2.html" * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/html/Project2-bs.html" -=== Project 3, Deadline December 13 === +=== Project 3, Deadline December 13 (available October 28) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/pdf/Project3.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/pdf/Project3.pdf" @@ -229,43 +218,3 @@ _General Machine Learning Books_: -!split -===== Teaching schedule Fall 2019 ===== - -Acronyms for textbooks and references to chapter -* HTF: "Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer":"https://www.springer.com/gp/book/9780387848570" -* AG: "Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly":"http://shop.oreilly.com/product/0636920052289.do" - -|----------------------------------------------------------------------------------------------------------------------------| -| Week and days | Topics to be covered | Projects, exercises and deadlines | Reading assignments| Lab activities | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 34| Introduction and regression analysis | Exercises TBD | HTF chapters 1-3 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html"| No lab first week | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 35 | Regression analysis | Exercises TBD | HTF chapter 3 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html"| Introduction to Git, GitHub and Python software, Python technicalities and work on exercises| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 36 | Regression analysis and nearest neighbors| Exercises TBD | HTF chapters 3, 4 and 13 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on exercises| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 37 | Classification and logistic regression | "Presentation of Project 1, deadline October 1":"https://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html" | HTF chapter 4 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on project 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 38 | Optimization methods | Exercises and project 1 | HTF chapter 5 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Splines/html/Splines-bs.html" | Work on project 1, deadline October 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 39 | Logistic regression and optimization | Project 1 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Bayesian/html/Bayesian-bs.html" | Work on Project 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 40 | Neural Networks | Presentation of project 2, deadline November 12 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" | Deadline project 1, October 1| -|----------------------------------------------------------------------------------------------------------------------------| -| Week 41 | Neural Networks | Project 2 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 42 | Neural Networks | Project 2 | HTF chapter 11 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 43 | Dimensionality reduction and support vector machines | Project 2 | HTF chapters 3 and 12 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 44 | SVM and tree and forest models | Project 2 | HTF chapter 9 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 45 | SVM and tree and forest models | Presentation and discussion of project 3 | HTF chapter 14 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM-bs.html" | Deadline project 2 November 12 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 46 | Bayesian statitics | Project 3, deadline December 14 | | Work on project 3 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 47 | Unsupervised learning, Boltzmann machines | Project 3 | | Work on project 3 | -|----------------------------------------------------------------------------------------------------------------------------| -| Week 48 | Summary of course and final workshop | Project 3 | Lecture notes | Final workshop with presentation of project 3 (TBA)| -|----------------------------------------------------------------------------------------------------------------------------|