From d63cb194d5b2876e5956262b065711fb4c7c643d Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Sun, 24 Nov 2024 10:34:47 +0100 Subject: [PATCH] update --- doc/pub/week48/html/week48-bs.html | 153 +++++---- doc/pub/week48/html/week48-reveal.html | 39 +-- doc/pub/week48/html/week48-solarized.html | 37 +- doc/pub/week48/html/week48.html | 37 +- doc/pub/week48/ipynb/ipynb-week48-src.tar.gz | Bin 823660 -> 823660 bytes doc/pub/week48/ipynb/week48.ipynb | 340 ++++++++++--------- doc/src/week48/week48.do.txt | 21 +- 7 files changed, 326 insertions(+), 301 deletions(-) diff --git a/doc/pub/week48/html/week48-bs.html b/doc/pub/week48/html/week48-bs.html index b2302ceda..1bb10edf1 100644 --- a/doc/pub/week48/html/week48-bs.html +++ b/doc/pub/week48/html/week48-bs.html @@ -37,7 +37,11 @@ doconce format html week48.do.txt --html_style=bootstrap --pygments_html_style=d
  • Overview of week 48
    • -
  • Plan for week 47
    • -
  • Random Forest Algorithm, reminder from last week
    • -
  • Random Forests Compared with other Methods on the Cancer Data
    • -
  • Compare Bagging on Trees with Random Forests
    • -
  • Boosting, a Bird's Eye View
    • -
  • What is boosting? Additive Modelling/Iterative Fitting
    • -
  • Iterative Fitting, Regression and Squared-error Cost Function
    • -
  • Squared-Error Example and Iterative Fitting
    • -
  • Iterative Fitting, Classification and AdaBoost
    • -
  • Adaptive Boosting, AdaBoost
    • -
  • Building up AdaBoost
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Making an ADAboost code yourself
    • -
  • Gradient boosting: Basics with Steepest Descent/Functional Gradient Descent
    • -
  • The Squared-Error again! Steepest Descent
    • -
  • Steepest Descent Example
    • -
  • Gradient Boosting, algorithm
    • -
  • Gradient Boosting, Examples of Regression
    • -
  • Gradient Boosting, Classification Example
    • -
  • XGBoost: Extreme Gradient Boosting
    • -
  • Xgboost on the Cancer Data
    • -
  • Gradient boosting, making our own code for a regression case
    • -
  • Summary of course
    • -
  • What? Me worry? No final exam in this course!
    • -
  • Topics we have covered this year
    • -
  • Statistical analysis and optimization of data
    • -
  • Machine learning
    • -
  • Learning outcomes and overarching aims of this course
    • -
  • Perspective on Machine Learning
    • -
  • Machine Learning Research
    • -
  • Starting your Machine Learning Project
    • -
  • Choose a Model and Algorithm
    • -
  • Preparing Your Data
    • -
  • Which activation and weights to choose in neural networks
    • -
  • Optimization Methods and Hyperparameters
    • -
  • Resampling
    • -
  • Other courses on Data science and Machine Learning at UiO
    • -
  • Additional courses of interest
    • -
  • What's the future like?
    • -
  • Types of Machine Learning, a repetition
    • -
  • Why Boltzmann machines?
    • -
  • Boltzmann Machines
    • -
  • Some similarities and differences from DNNs
    • -
  • Boltzmann machines (BM)
    • -
  • A standard BM setup
    • -
  • The structure of the RBM network
    • -
  • The network
    • -
  • Goals
    • -
  • Joint distribution
    • -
  • Network Elements, the energy function
    • -
  • Defining different types of RBMs
    • -
  • More about RBMs
    • -
  • Autoencoders: Overarching view
    • -
  • Bayesian Machine Learning
    • -
  • Reinforcement Learning
    • -
  • Transfer learning
    • -
  • Adversarial learning
    • -
  • Dual learning
    • -
  • Distributed machine learning
    • -
  • Meta learning
    • -
  • The Challenges Facing Machine Learning
    • -
  • Explainable machine learning
    • -
  • Quantum machine learning
    • -
  • Quantum machine learning algorithms based on linear algebra
    • -
  • Quantum reinforcement learning
    • -
  • Quantum deep learning
    • -
  • Social machine learning
    • -
  • The last words?
    • -
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • +
  • Lecture Monday, November 25
    • +
  • Lab sessions
    • +
  • Random Forest Algorithm, reminder from last week
    • +
  • Random Forests Compared with other Methods on the Cancer Data
    • +
  • Compare Bagging on Trees with Random Forests
    • +
  • Boosting, a Bird's Eye View
    • +
  • What is boosting? Additive Modelling/Iterative Fitting
    • +
  • Iterative Fitting, Regression and Squared-error Cost Function
    • +
  • Squared-Error Example and Iterative Fitting
    • +
  • Iterative Fitting, Classification and AdaBoost
    • +
  • Adaptive Boosting, AdaBoost
    • +
  • Building up AdaBoost
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • AdaBoost Examples
    • +
  • Making an ADAboost code yourself
    • +
  • Gradient boosting: Basics with Steepest Descent/Functional Gradient Descent
    • +
  • The Squared-Error again! Steepest Descent
    • +
  • Steepest Descent Example
    • +
  • Gradient Boosting, algorithm
    • +
  • Gradient Boosting, Examples of Regression
    • +
  • Gradient Boosting, Classification Example
    • +
  • XGBoost: Extreme Gradient Boosting
    • +
  • Xgboost on the Cancer Data
    • +
  • Gradient boosting, making our own code for a regression case
    • +
  • Summary of course
    • +
  • What? Me worry? No final exam in this course!
    • +
  • Topics we have covered this year
    • +
  • Statistical analysis and optimization of data
    • +
  • Machine learning
    • +
  • Learning outcomes and overarching aims of this course
    • +
  • Perspective on Machine Learning
    • +
  • Machine Learning Research
    • +
  • Starting your Machine Learning Project
    • +
  • Choose a Model and Algorithm
    • +
  • Preparing Your Data
    • +
  • Which activation and weights to choose in neural networks
    • +
  • Optimization Methods and Hyperparameters
    • +
  • Resampling
    • +
  • Other courses on Data science and Machine Learning at UiO
    • +
  • Additional courses of interest
    • +
  • What's the future like?
    • +
  • Types of Machine Learning, a repetition
    • +
  • Why Boltzmann machines?
    • +
  • Boltzmann Machines
    • +
  • Some similarities and differences from DNNs
    • +
  • Boltzmann machines (BM)
    • +
  • A standard BM setup
    • +
  • The structure of the RBM network
    • +
  • The network
    • +
  • Goals
    • +
  • Joint distribution
    • +
  • Network Elements, the energy function
    • +
  • Defining different types of RBMs
    • +
  • More about RBMs
    • +
  • Autoencoders: Overarching view
    • +
  • Bayesian Machine Learning
    • +
  • Reinforcement Learning
    • +
  • Transfer learning
    • +
  • Adversarial learning
    • +
  • Dual learning
    • +
  • Distributed machine learning
    • +
  • Meta learning
    • +
  • The Challenges Facing Machine Learning
    • +
  • Explainable machine learning
    • +
  • Quantum machine learning
    • +
  • Quantum machine learning algorithms based on linear algebra
    • +
  • Quantum reinforcement learning
    • +
  • Quantum deep learning
    • +
  • Social machine learning
    • +
  • The last words?
    • +
  • Best wishes to you all and thanks so much for your heroic efforts this semester
    • @@ -374,7 +379,7 @@ MathJax.Hub.Config({
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    Plan for week 47

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    -Lab sessions on Tuesday and Wednesday -

    -

      - -

    • Work and Discussion of project 3
      • - -

    • Last weekly exercise
      • - -

    • Lab sessions at usual times.
      • - -

    • For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday
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    Lecture Monday, November 25

    Plans for the lecture Monday 25 November, with video suggestions etc

    @@ -237,6 +220,24 @@ MathJax.Hub.Config({

    +
    +

    Lab sessions

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    +Lab sessions on Tuesday and Wednesday +

    +

      + +

    • Work and Discussion of project 3
      • + +

    • Last weekly exercise
      • + +

    • Lab sessions at usual times.
      • + +

    • For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday
      • +
    +
    +
    +

    Random Forest Algorithm, reminder from last week

    diff --git a/doc/pub/week48/html/week48-solarized.html b/doc/pub/week48/html/week48-solarized.html index 18f9c74c8..be584fe08 100644 --- a/doc/pub/week48/html/week48-solarized.html +++ b/doc/pub/week48/html/week48-solarized.html @@ -64,7 +64,11 @@ div.toc p,a {
    @@ -311,20 +315,7 @@ MathJax.Hub.Config({

    Overview of week 48











    -

    Plan for week 47

    - -
    -Lab sessions on Tuesday and Wednesday -

    -

      -
    • Work and Discussion of project 3
      • -
    • Last weekly exercise
      • -
    • Lab sessions at usual times.
      • -
    • For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday
      • -
    -
    - - +

    Lecture Monday, November 25

    Plans for the lecture Monday 25 November, with video suggestions etc

    @@ -347,6 +338,20 @@ MathJax.Hub.Config({

    +









    +

    Lab sessions

    +
    +Lab sessions on Tuesday and Wednesday +

    +

      +
    • Work and Discussion of project 3
      • +
    • Last weekly exercise
      • +
    • Lab sessions at usual times.
      • +
    • For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday
      • +
    +
    + +









    Random Forest Algorithm, reminder from last week

    diff --git a/doc/pub/week48/html/week48.html b/doc/pub/week48/html/week48.html index a0d63e6fe..b6537705a 100644 --- a/doc/pub/week48/html/week48.html +++ b/doc/pub/week48/html/week48.html @@ -141,7 +141,11 @@ div.toc p,a {
    @@ -388,20 +392,7 @@ MathJax.Hub.Config({

    Overview of week 48











    -

    Plan for week 47

    - -
    -Lab sessions on Tuesday and Wednesday -

    -

      -
    • Work and Discussion of project 3
      • -
    • Last weekly exercise
      • -
    • Lab sessions at usual times.
      • -
    • For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday
      • -
    -
    - - +

    Lecture Monday, November 25

    Plans for the lecture Monday 25 November, with video suggestions etc

    @@ -424,6 +415,20 @@ MathJax.Hub.Config({

    +









    +

    Lab sessions

    +
    +Lab sessions on Tuesday and Wednesday +

    +

      +
    • Work and Discussion of project 3
      • +
    • Last weekly exercise
      • +
    • Lab sessions at usual times.
      • +
    • For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday
      • +
    +
    + +









    Random Forest Algorithm, reminder from last week

    diff --git a/doc/pub/week48/ipynb/ipynb-week48-src.tar.gz b/doc/pub/week48/ipynb/ipynb-week48-src.tar.gz index d6def3c343811dc416a2fbce45749cd6eb41f6e2..96c4dcdb0f65a3329625b1f9c092883d0a9fda1f 100644 GIT binary patch delta 53 zcmaE}$mq=?BR2VN4hFr?jcl!KjIC@;t!&J#Y%Hy8tgUQ75%yL#j#f6#RyM9yHtwx# HJZTdFsM`(N delta 53 zcmaE}$mq=?BR2VN4u%~*jcl!KjIC@;t!&J#Y%Hy8tgUQ75%yL#j#f6#RyM9yHtwx# HJZTdFq`(cm diff --git a/doc/pub/week48/ipynb/week48.ipynb b/doc/pub/week48/ipynb/week48.ipynb index 486829beb..c0298d422 100644 --- a/doc/pub/week48/ipynb/week48.ipynb +++ b/doc/pub/week48/ipynb/week48.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "3b64c66e", + "id": "d7c532d5", "metadata": { "editable": true }, @@ -14,7 +14,7 @@ }, { "cell_type": "markdown", - "id": "45ba1703", + "id": "d27ab2b4", "metadata": { "editable": true }, @@ -22,14 +22,14 @@ "# Week 48: Gradient boosting and summary of course\n", "**Morten Hjorth-Jensen**, Department of Physics and Center for Computing in Science Education, University of Oslo, Norway\n", "\n", - "Date: **Nov 23, 2024**\n", + "Date: **Nov 24, 2024**\n", "\n", "Copyright 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license" ] }, { "cell_type": "markdown", - "id": "7258309e", + "id": "9f55b05a", "metadata": { "editable": true }, @@ -39,25 +39,12 @@ }, { "cell_type": "markdown", - "id": "8a4ef0a3", + "id": "e72578f8", "metadata": { "editable": true }, "source": [ - "## Plan for week 47\n", - "\n", - "**Lab sessions on Tuesday and Wednesday.**\n", - "\n", - " * Work and Discussion of project 3\n", - "\n", - " * Last weekly exercise\n", - "\n", - " * Lab sessions at usual times.\n", - "\n", - " * For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday\n", - "\n", - " \n", - "\n", + "## Lecture Monday, November 25\n", "**Plans for the lecture Monday 25 November, with video suggestions etc.**\n", "\n", "1. Boosting and gradient boosting and ensemble models\n", @@ -85,7 +72,26 @@ }, { "cell_type": "markdown", - "id": "e01d37bc", + "id": "51ee8fb3", + "metadata": { + "editable": true + }, + "source": [ + "## Lab sessions\n", + "**Lab sessions on Tuesday and Wednesday.**\n", + "\n", + " * Work and Discussion of project 3\n", + "\n", + " * Last weekly exercise\n", + "\n", + " * Lab sessions at usual times.\n", + "\n", + " * For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday" + ] + }, + { + "cell_type": "markdown", + "id": "5b4ed2be", "metadata": { "editable": true }, @@ -112,7 +118,7 @@ }, { "cell_type": "markdown", - "id": "1160253d", + "id": "3e76e282", "metadata": { "editable": true }, @@ -123,7 +129,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "ac77382f", + "id": "acba62b3", "metadata": { "collapsed": false, "editable": true @@ -197,7 +203,7 @@ }, { "cell_type": "markdown", - "id": "254c4495", + "id": "c5cbe0e8", "metadata": { "editable": true }, @@ -213,7 +219,7 @@ }, { "cell_type": "markdown", - "id": "5633e7a9", + "id": "19bd77f2", "metadata": { "editable": true }, @@ -224,7 +230,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "250bca6d", + "id": "84f1af2e", "metadata": { "collapsed": false, "editable": true @@ -239,7 +245,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "a8506102", + "id": "6c01d900", "metadata": { "collapsed": false, "editable": true @@ -257,7 +263,7 @@ }, { "cell_type": "markdown", - "id": "8713c888", + "id": "896072f6", "metadata": { "editable": true }, @@ -277,7 +283,7 @@ }, { "cell_type": "markdown", - "id": "efc5e7e7", + "id": "babc9c9c", "metadata": { "editable": true }, @@ -291,7 +297,7 @@ }, { "cell_type": "markdown", - "id": "ee68d9b3", + "id": "2ed28584", "metadata": { "editable": true }, @@ -303,7 +309,7 @@ }, { "cell_type": "markdown", - "id": "6efcd942", + "id": "5b5b9631", "metadata": { "editable": true }, @@ -320,7 +326,7 @@ }, { "cell_type": "markdown", - "id": "8b2a4e15", + "id": "7b6c43ec", "metadata": { "editable": true }, @@ -332,7 +338,7 @@ }, { "cell_type": "markdown", - "id": "77d4f75d", + "id": "3962039f", "metadata": { "editable": true }, @@ -346,7 +352,7 @@ }, { "cell_type": "markdown", - "id": "9d0680d2", + "id": "ee5f259c", "metadata": { "editable": true }, @@ -358,7 +364,7 @@ }, { "cell_type": "markdown", - "id": "a5f51b6a", + "id": "079d8ee3", "metadata": { "editable": true }, @@ -371,7 +377,7 @@ }, { "cell_type": "markdown", - "id": "c6eafc82", + "id": "11f821a2", "metadata": { "editable": true }, @@ -383,7 +389,7 @@ }, { "cell_type": "markdown", - "id": "d42a3420", + "id": "60990073", "metadata": { "editable": true }, @@ -393,7 +399,7 @@ }, { "cell_type": "markdown", - "id": "ecac5a19", + "id": "4d7195ab", "metadata": { "editable": true }, @@ -421,7 +427,7 @@ }, { "cell_type": "markdown", - "id": "632d7379", + "id": "4bee726a", "metadata": { "editable": true }, @@ -437,7 +443,7 @@ }, { "cell_type": "markdown", - "id": "3a2dc7cd", + "id": "1190b9a0", "metadata": { "editable": true }, @@ -449,7 +455,7 @@ }, { "cell_type": "markdown", - "id": "d1dae1f7", + "id": "2702211b", "metadata": { "editable": true }, @@ -460,7 +466,7 @@ }, { "cell_type": "markdown", - "id": "db8e52c8", + "id": "1b1d9984", "metadata": { "editable": true }, @@ -472,7 +478,7 @@ }, { "cell_type": "markdown", - "id": "b71e4562", + "id": "cdf7e56a", "metadata": { "editable": true }, @@ -482,7 +488,7 @@ }, { "cell_type": "markdown", - "id": "8b287320", + "id": "ac6f3b86", "metadata": { "editable": true }, @@ -494,7 +500,7 @@ }, { "cell_type": "markdown", - "id": "444b31c7", + "id": "faf6fb5f", "metadata": { "editable": true }, @@ -504,7 +510,7 @@ }, { "cell_type": "markdown", - "id": "975f549b", + "id": "969f86ed", "metadata": { "editable": true }, @@ -516,7 +522,7 @@ }, { "cell_type": "markdown", - "id": "49707e43", + "id": "a98a541c", "metadata": { "editable": true }, @@ -526,7 +532,7 @@ }, { "cell_type": "markdown", - "id": "30fff982", + "id": "d8be5438", "metadata": { "editable": true }, @@ -538,7 +544,7 @@ }, { "cell_type": "markdown", - "id": "8936f422", + "id": "932f43c5", "metadata": { "editable": true }, @@ -552,7 +558,7 @@ }, { "cell_type": "markdown", - "id": "373a4a0c", + "id": "24630eb9", "metadata": { "editable": true }, @@ -568,7 +574,7 @@ }, { "cell_type": "markdown", - "id": "c412ab0e", + "id": "9a7fa4b6", "metadata": { "editable": true }, @@ -580,7 +586,7 @@ }, { "cell_type": "markdown", - "id": "0018a744", + "id": "7ead62b2", "metadata": { "editable": true }, @@ -596,7 +602,7 @@ }, { "cell_type": "markdown", - "id": "d092eb4b", + "id": "91639c49", "metadata": { "editable": true }, @@ -608,7 +614,7 @@ }, { "cell_type": "markdown", - "id": "17820826", + "id": "e43865c2", "metadata": { "editable": true }, @@ -618,7 +624,7 @@ }, { "cell_type": "markdown", - "id": "f4910537", + "id": "1884c219", "metadata": { "editable": true }, @@ -630,7 +636,7 @@ }, { "cell_type": "markdown", - "id": "bfae7a07", + "id": "bbb1cdbb", "metadata": { "editable": true }, @@ -642,7 +648,7 @@ }, { "cell_type": "markdown", - "id": "f00bee3c", + "id": "7e3590f6", "metadata": { "editable": true }, @@ -654,7 +660,7 @@ }, { "cell_type": "markdown", - "id": "bf267f5b", + "id": "2eb8c86b", "metadata": { "editable": true }, @@ -665,7 +671,7 @@ }, { "cell_type": "markdown", - "id": "a6eb9909", + "id": "e477d15a", "metadata": { "editable": true }, @@ -677,7 +683,7 @@ }, { "cell_type": "markdown", - "id": "2bbceaad", + "id": "b6f01e59", "metadata": { "editable": true }, @@ -688,7 +694,7 @@ }, { "cell_type": "markdown", - "id": "9ff79322", + "id": "71c85471", "metadata": { "editable": true }, @@ -700,7 +706,7 @@ }, { "cell_type": "markdown", - "id": "6c4299e2", + "id": "2d5be340", "metadata": { "editable": true }, @@ -710,7 +716,7 @@ }, { "cell_type": "markdown", - "id": "068e2930", + "id": "e426517c", "metadata": { "editable": true }, @@ -722,7 +728,7 @@ }, { "cell_type": "markdown", - "id": "53eb174c", + "id": "c0c7e993", "metadata": { "editable": true }, @@ -734,7 +740,7 @@ }, { "cell_type": "markdown", - "id": "3baeddb4", + "id": "7457a096", "metadata": { "editable": true }, @@ -746,7 +752,7 @@ }, { "cell_type": "markdown", - "id": "87178662", + "id": "424d5bc9", "metadata": { "editable": true }, @@ -758,7 +764,7 @@ }, { "cell_type": "markdown", - "id": "c48316bd", + "id": "d1fa658b", "metadata": { "editable": true }, @@ -768,7 +774,7 @@ }, { "cell_type": "markdown", - "id": "6ccbebe4", + "id": "f8fc6b15", "metadata": { "editable": true }, @@ -780,7 +786,7 @@ }, { "cell_type": "markdown", - "id": "526ec37c", + "id": "9ca82f54", "metadata": { "editable": true }, @@ -790,7 +796,7 @@ }, { "cell_type": "markdown", - "id": "84e556c0", + "id": "6c028686", "metadata": { "editable": true }, @@ -802,7 +808,7 @@ }, { "cell_type": "markdown", - "id": "931a10f7", + "id": "4007a0ef", "metadata": { "editable": true }, @@ -812,7 +818,7 @@ }, { "cell_type": "markdown", - "id": "45b79d8b", + "id": "ba456347", "metadata": { "editable": true }, @@ -824,7 +830,7 @@ }, { "cell_type": "markdown", - "id": "e30b9dee", + "id": "c8df4ef3", "metadata": { "editable": true }, @@ -834,7 +840,7 @@ }, { "cell_type": "markdown", - "id": "c8d42197", + "id": "da46f9d9", "metadata": { "editable": true }, @@ -846,7 +852,7 @@ }, { "cell_type": "markdown", - "id": "56d6acfd", + "id": "5c60f30d", "metadata": { "editable": true }, @@ -856,7 +862,7 @@ }, { "cell_type": "markdown", - "id": "df837af9", + "id": "a5bc4dfe", "metadata": { "editable": true }, @@ -868,7 +874,7 @@ }, { "cell_type": "markdown", - "id": "1fafddb8", + "id": "3987cc1e", "metadata": { "editable": true }, @@ -888,7 +894,7 @@ }, { "cell_type": "markdown", - "id": "8a898c02", + "id": "b35df09e", "metadata": { "editable": true }, @@ -900,7 +906,7 @@ }, { "cell_type": "markdown", - "id": "03435f7c", + "id": "5b6a209c", "metadata": { "editable": true }, @@ -910,7 +916,7 @@ }, { "cell_type": "markdown", - "id": "ac433aeb", + "id": "d619a097", "metadata": { "editable": true }, @@ -926,7 +932,7 @@ }, { "cell_type": "markdown", - "id": "37e79583", + "id": "b7311abb", "metadata": { "editable": true }, @@ -938,7 +944,7 @@ }, { "cell_type": "markdown", - "id": "6eff57bb", + "id": "4bfb4209", "metadata": { "editable": true }, @@ -966,7 +972,7 @@ }, { "cell_type": "markdown", - "id": "143fddc5", + "id": "4cf4c1f4", "metadata": { "editable": true }, @@ -979,7 +985,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "627dcde1", + "id": "453dff54", "metadata": { "collapsed": false, "editable": true @@ -1004,7 +1010,7 @@ }, { "cell_type": "markdown", - "id": "0586f2f5", + "id": "d6470164", "metadata": { "editable": true }, @@ -1015,7 +1021,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "57f72ee8", + "id": "b6e01886", "metadata": { "collapsed": false, "editable": true @@ -1104,7 +1110,7 @@ }, { "cell_type": "markdown", - "id": "98bcb1fd", + "id": "3cede4c9", "metadata": { "editable": true }, @@ -1122,7 +1128,7 @@ }, { "cell_type": "markdown", - "id": "adfad730", + "id": "94e3b59f", "metadata": { "editable": true }, @@ -1135,7 +1141,7 @@ }, { "cell_type": "markdown", - "id": "32e3c207", + "id": "2f000f62", "metadata": { "editable": true }, @@ -1147,7 +1153,7 @@ }, { "cell_type": "markdown", - "id": "460df33e", + "id": "014da5e9", "metadata": { "editable": true }, @@ -1157,7 +1163,7 @@ }, { "cell_type": "markdown", - "id": "ec1e9c33", + "id": "022aee06", "metadata": { "editable": true }, @@ -1169,7 +1175,7 @@ }, { "cell_type": "markdown", - "id": "5f517f3c", + "id": "d0d3e174", "metadata": { "editable": true }, @@ -1179,7 +1185,7 @@ }, { "cell_type": "markdown", - "id": "8352e0e4", + "id": "8af32042", "metadata": { "editable": true }, @@ -1191,7 +1197,7 @@ }, { "cell_type": "markdown", - "id": "b158a9ff", + "id": "4a384d95", "metadata": { "editable": true }, @@ -1204,7 +1210,7 @@ }, { "cell_type": "markdown", - "id": "17fb6c35", + "id": "bd5b9bb9", "metadata": { "editable": true }, @@ -1216,7 +1222,7 @@ }, { "cell_type": "markdown", - "id": "64c802de", + "id": "560b3106", "metadata": { "editable": true }, @@ -1228,7 +1234,7 @@ }, { "cell_type": "markdown", - "id": "f4b660f8", + "id": "4742d327", "metadata": { "editable": true }, @@ -1240,7 +1246,7 @@ }, { "cell_type": "markdown", - "id": "d592d84b", + "id": "d160a37f", "metadata": { "editable": true }, @@ -1250,7 +1256,7 @@ }, { "cell_type": "markdown", - "id": "265f57f6", + "id": "f3cde07e", "metadata": { "editable": true }, @@ -1262,7 +1268,7 @@ }, { "cell_type": "markdown", - "id": "149a5a32", + "id": "cf95ad5e", "metadata": { "editable": true }, @@ -1272,7 +1278,7 @@ }, { "cell_type": "markdown", - "id": "fb347cb0", + "id": "bb614b9d", "metadata": { "editable": true }, @@ -1288,7 +1294,7 @@ }, { "cell_type": "markdown", - "id": "66b696bb", + "id": "19e3e8fa", "metadata": { "editable": true }, @@ -1300,7 +1306,7 @@ }, { "cell_type": "markdown", - "id": "6c776311", + "id": "9330b34b", "metadata": { "editable": true }, @@ -1321,7 +1327,7 @@ }, { "cell_type": "markdown", - "id": "b7cecfb0", + "id": "e648539a", "metadata": { "editable": true }, @@ -1332,7 +1338,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "7b1eb376", + "id": "d12810d3", "metadata": { "collapsed": false, "editable": true @@ -1383,7 +1389,7 @@ }, { "cell_type": "markdown", - "id": "9d97b3d7", + "id": "f3e95eca", "metadata": { "editable": true }, @@ -1394,7 +1400,7 @@ { "cell_type": "code", "execution_count": 7, - "id": "7e853c55", + "id": "d6426469", "metadata": { "collapsed": false, "editable": true @@ -1442,7 +1448,7 @@ }, { "cell_type": "markdown", - "id": "b458d799", + "id": "8de56415", "metadata": { "editable": true }, @@ -1465,7 +1471,7 @@ }, { "cell_type": "markdown", - "id": "48d1de5e", + "id": "dfc59b18", "metadata": { "editable": true }, @@ -1478,7 +1484,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "4059e0f6", + "id": "79e4cc00", "metadata": { "collapsed": false, "editable": true @@ -1536,7 +1542,7 @@ }, { "cell_type": "markdown", - "id": "da6ac07a", + "id": "c4700b19", "metadata": { "editable": true }, @@ -1547,7 +1553,7 @@ { "cell_type": "code", "execution_count": 9, - "id": "8ab70463", + "id": "eb0594c5", "metadata": { "collapsed": false, "editable": true @@ -1634,7 +1640,7 @@ }, { "cell_type": "markdown", - "id": "d3761d54", + "id": "bbf154c4", "metadata": { "editable": true }, @@ -1644,7 +1650,7 @@ }, { "cell_type": "markdown", - "id": "780df2c0", + "id": "84d512fc", "metadata": { "editable": true }, @@ -1659,7 +1665,7 @@ }, { "cell_type": "markdown", - "id": "8ead86e5", + "id": "71b8eb59", "metadata": { "editable": true }, @@ -1675,7 +1681,7 @@ }, { "cell_type": "markdown", - "id": "31266704", + "id": "473329b7", "metadata": { "editable": true }, @@ -1700,7 +1706,7 @@ }, { "cell_type": "markdown", - "id": "2021a43b", + "id": "6c94f44a", "metadata": { "editable": true }, @@ -1746,7 +1752,7 @@ }, { "cell_type": "markdown", - "id": "170e1be1", + "id": "d9942ded", "metadata": { "editable": true }, @@ -1781,7 +1787,7 @@ }, { "cell_type": "markdown", - "id": "07f2b380", + "id": "7818c700", "metadata": { "editable": true }, @@ -1804,7 +1810,7 @@ }, { "cell_type": "markdown", - "id": "4408cc2b", + "id": "cc946602", "metadata": { "editable": true }, @@ -1827,7 +1833,7 @@ }, { "cell_type": "markdown", - "id": "13833ad1", + "id": "c2b75185", "metadata": { "editable": true }, @@ -1847,7 +1853,7 @@ }, { "cell_type": "markdown", - "id": "690b357b", + "id": "4600986a", "metadata": { "editable": true }, @@ -1863,7 +1869,7 @@ }, { "cell_type": "markdown", - "id": "a382da4c", + "id": "cfb572d5", "metadata": { "editable": true }, @@ -1891,7 +1897,7 @@ }, { "cell_type": "markdown", - "id": "aef19b0c", + "id": "3e38f862", "metadata": { "editable": true }, @@ -1909,7 +1915,7 @@ }, { "cell_type": "markdown", - "id": "f301c68e", + "id": "76abe122", "metadata": { "editable": true }, @@ -1934,7 +1940,7 @@ }, { "cell_type": "markdown", - "id": "7f82dc43", + "id": "0b246db8", "metadata": { "editable": true }, @@ -1952,7 +1958,7 @@ }, { "cell_type": "markdown", - "id": "7a1117b1", + "id": "9a6555fc", "metadata": { "editable": true }, @@ -1982,7 +1988,7 @@ }, { "cell_type": "markdown", - "id": "90fe2084", + "id": "c2561e72", "metadata": { "editable": true }, @@ -1996,7 +2002,7 @@ }, { "cell_type": "markdown", - "id": "bc8ad0a3", + "id": "796637c8", "metadata": { "editable": true }, @@ -2022,7 +2028,7 @@ }, { "cell_type": "markdown", - "id": "bea1957b", + "id": "6afdb59e", "metadata": { "editable": true }, @@ -2051,7 +2057,7 @@ }, { "cell_type": "markdown", - "id": "c1347ce6", + "id": "95097424", "metadata": { "editable": true }, @@ -2068,7 +2074,7 @@ }, { "cell_type": "markdown", - "id": "5bcb69f0", + "id": "31a33cea", "metadata": { "editable": true }, @@ -2090,7 +2096,7 @@ }, { "cell_type": "markdown", - "id": "39597386", + "id": "d6583875", "metadata": { "editable": true }, @@ -2108,7 +2114,7 @@ }, { "cell_type": "markdown", - "id": "24cb4d77", + "id": "285bbf5d", "metadata": { "editable": true }, @@ -2131,7 +2137,7 @@ }, { "cell_type": "markdown", - "id": "abe0e029", + "id": "5b51dec9", "metadata": { "editable": true }, @@ -2150,7 +2156,7 @@ }, { "cell_type": "markdown", - "id": "be9ea72c", + "id": "4cb37b8f", "metadata": { "editable": true }, @@ -2166,7 +2172,7 @@ }, { "cell_type": "markdown", - "id": "a85f3d50", + "id": "45fe33d7", "metadata": { "editable": true }, @@ -2181,7 +2187,7 @@ }, { "cell_type": "markdown", - "id": "3b68f9bc", + "id": "3bbbaa88", "metadata": { "editable": true }, @@ -2205,7 +2211,7 @@ }, { "cell_type": "markdown", - "id": "eeb46a9a", + "id": "d6a9f606", "metadata": { "editable": true }, @@ -2217,7 +2223,7 @@ }, { "cell_type": "markdown", - "id": "911fc5be", + "id": "81aaff6e", "metadata": { "editable": true }, @@ -2235,7 +2241,7 @@ }, { "cell_type": "markdown", - "id": "44398f76", + "id": "9f856eb3", "metadata": { "editable": true }, @@ -2245,7 +2251,7 @@ }, { "cell_type": "markdown", - "id": "d22991a2", + "id": "f15429d1", "metadata": { "editable": true }, @@ -2263,7 +2269,7 @@ }, { "cell_type": "markdown", - "id": "c645e455", + "id": "e8a8f8e7", "metadata": { "editable": true }, @@ -2273,7 +2279,7 @@ }, { "cell_type": "markdown", - "id": "99a56dc1", + "id": "4fb17989", "metadata": { "editable": true }, @@ -2292,7 +2298,7 @@ }, { "cell_type": "markdown", - "id": "9a39b491", + "id": "0bed5ddd", "metadata": { "editable": true }, @@ -2304,7 +2310,7 @@ }, { "cell_type": "markdown", - "id": "286d0ab5", + "id": "f8e64229", "metadata": { "editable": true }, @@ -2318,7 +2324,7 @@ }, { "cell_type": "markdown", - "id": "e21e58ac", + "id": "f8f02179", "metadata": { "editable": true }, @@ -2333,7 +2339,7 @@ }, { "cell_type": "markdown", - "id": "d9e99856", + "id": "19008689", "metadata": { "editable": true }, @@ -2351,7 +2357,7 @@ }, { "cell_type": "markdown", - "id": "da27eff3", + "id": "a3d31b3a", "metadata": { "editable": true }, @@ -2365,7 +2371,7 @@ }, { "cell_type": "markdown", - "id": "ad466922", + "id": "79d29641", "metadata": { "editable": true }, @@ -2383,7 +2389,7 @@ }, { "cell_type": "markdown", - "id": "e3e1a9ee", + "id": "4d19d779", "metadata": { "editable": true }, @@ -2407,7 +2413,7 @@ }, { "cell_type": "markdown", - "id": "8a463ba1", + "id": "b8fa06ec", "metadata": { "editable": true }, @@ -2445,7 +2451,7 @@ }, { "cell_type": "markdown", - "id": "8b88bdc9", + "id": "262fc510", "metadata": { "editable": true }, @@ -2468,7 +2474,7 @@ }, { "cell_type": "markdown", - "id": "dcf0e541", + "id": "36608f14", "metadata": { "editable": true }, @@ -2504,7 +2510,7 @@ }, { "cell_type": "markdown", - "id": "9d1c6243", + "id": "a2b4652f", "metadata": { "editable": true }, @@ -2525,7 +2531,7 @@ }, { "cell_type": "markdown", - "id": "b06e1c4c", + "id": "8cef8c03", "metadata": { "editable": true }, @@ -2547,7 +2553,7 @@ }, { "cell_type": "markdown", - "id": "8bd5d6c4", + "id": "df85a3e6", "metadata": { "editable": true }, @@ -2567,7 +2573,7 @@ }, { "cell_type": "markdown", - "id": "40c7ca7e", + "id": "f01aaa3c", "metadata": { "editable": true }, @@ -2582,7 +2588,7 @@ }, { "cell_type": "markdown", - "id": "bc167c7d", + "id": "0005330c", "metadata": { "editable": true }, @@ -2600,7 +2606,7 @@ }, { "cell_type": "markdown", - "id": "06e830c9", + "id": "efcfaccf", "metadata": { "editable": true }, @@ -2630,7 +2636,7 @@ }, { "cell_type": "markdown", - "id": "51b7b00d", + "id": "f7b109c9", "metadata": { "editable": true }, @@ -2659,7 +2665,7 @@ }, { "cell_type": "markdown", - "id": "265badfe", + "id": "e9142380", "metadata": { "editable": true }, @@ -2690,7 +2696,7 @@ }, { "cell_type": "markdown", - "id": "28cda775", + "id": "cb638c92", "metadata": { "editable": true }, @@ -2713,7 +2719,7 @@ }, { "cell_type": "markdown", - "id": "eab731bc", + "id": "676fd56e", "metadata": { "editable": true }, @@ -2731,7 +2737,7 @@ }, { "cell_type": "markdown", - "id": "105015b2", + "id": "ac1d93d3", "metadata": { "editable": true }, @@ -2754,7 +2760,7 @@ }, { "cell_type": "markdown", - "id": "ddbe105b", + "id": "c5047fcb", "metadata": { "editable": true }, @@ -2775,7 +2781,7 @@ }, { "cell_type": "markdown", - "id": "3e53243c", + "id": "bdd66000", "metadata": { "editable": true }, @@ -2791,7 +2797,7 @@ }, { "cell_type": "markdown", - "id": "011485c3", + "id": "7fb56aeb", "metadata": { "editable": true }, diff --git a/doc/src/week48/week48.do.txt b/doc/src/week48/week48.do.txt index abdaa7f1f..e1fe9a7c6 100644 --- a/doc/src/week48/week48.do.txt +++ b/doc/src/week48/week48.do.txt @@ -5,16 +5,9 @@ DATE: today !split ===== Overview of week 48 ===== + !split -===== Plan for week 47 ===== - -!bblock Lab sessions on Tuesday and Wednesday - * Work and Discussion of project 3 - * Last weekly exercise - * Lab sessions at usual times. - * For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday -!eblock - +===== Lecture Monday, November 25 ===== !bblock Plans for the lecture Monday 25 November, with video suggestions etc o Boosting and gradient boosting and ensemble models o Summary of course @@ -31,6 +24,16 @@ o Readings and Videos: !eblock +!split +===== Lab sessions ===== +!bblock Lab sessions on Tuesday and Wednesday + * Work and Discussion of project 3 + * Last weekly exercise + * Lab sessions at usual times. + * For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday +!eblock + + !split ===== Random Forest Algorithm, reminder from last week =====