From 7300c29f4194b5c59c29447c549d68aeccc37908 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Tue, 19 Aug 2025 09:53:35 +0200 Subject: [PATCH] update --- doc/LectureNotes/E1.ipynb | 4 +++- doc/LectureNotes/_build/.doctrees/E1.doctree | Bin 38646 -> 40266 bytes .../_build/.doctrees/environment.pickle | Bin 199001 -> 198407 bytes doc/LectureNotes/_build/html/E1.html | 3 ++- doc/LectureNotes/_build/html/E2.html | 2 +- .../_build/html/_sources/E1.ipynb | 4 +++- doc/LectureNotes/_build/html/chapter1.html | 2 +- doc/LectureNotes/_build/html/chapter10.html | 2 +- doc/LectureNotes/_build/html/chapter11.html | 2 +- doc/LectureNotes/_build/html/chapter12.html | 2 +- doc/LectureNotes/_build/html/chapter13.html | 2 +- doc/LectureNotes/_build/html/chapter2.html | 2 +- doc/LectureNotes/_build/html/chapter3.html | 2 +- doc/LectureNotes/_build/html/chapter4.html | 2 +- doc/LectureNotes/_build/html/chapter5.html | 2 +- doc/LectureNotes/_build/html/chapter6.html | 2 +- doc/LectureNotes/_build/html/chapter7.html | 2 +- doc/LectureNotes/_build/html/chapter8.html | 2 +- doc/LectureNotes/_build/html/chapter9.html | 2 +- .../_build/html/chapteroptimization.html | 2 +- doc/LectureNotes/_build/html/clustering.html | 2 +- doc/LectureNotes/_build/html/linalg.html | 2 +- doc/LectureNotes/_build/html/schedule.html | 2 +- doc/LectureNotes/_build/html/searchindex.js | 2 +- doc/LectureNotes/_build/html/statistics.html | 2 +- doc/LectureNotes/_build/html/teachers.html | 2 +- doc/LectureNotes/_build/html/textbooks.html | 2 +- .../_build/jupyter_execute/E1.ipynb | 4 +++- doc/LectureNotes/exercisesweek34.ipynb | 4 +++- 29 files changed, 36 insertions(+), 27 deletions(-) diff --git a/doc/LectureNotes/E1.ipynb b/doc/LectureNotes/E1.ipynb index 5a9b9a23b..50e773ede 100644 --- a/doc/LectureNotes/E1.ipynb +++ b/doc/LectureNotes/E1.ipynb @@ -67,7 +67,9 @@ "\n", "**c)** Learn the basics of opening the terminal and navigating folders on your operating system. Things to learn: Opening a terminal, opening a terminal in a specific folder, listing the contents of the current folder, navigating into a folder, navigating out of a folder.\n", "\n", - "**d)** Download the Github CLI tool and run ´gh auth login´ in your terminal to authenticate your local machine for some of the later steps. (https://github.com/cli/cli#installation). You might need to change file permissions to make it work, ask us or ChatGPT for help with these issues." + "**d)** Download the Github CLI tool and run ´gh auth login´ in your terminal to authenticate your local machine for some of the later steps. (https://github.com/cli/cli#installation). You might need to change file permissions to make it work, ask us or ChatGPT for help with these issues.\n", + "\n", + "**e)** As an alternative to the above terminal based instructions, you could install GitHub Desktop (see https://desktop.github.com/download/) or if you prefer GitLab, GitLab desktop (see https://about.gitlab.com/install/). This sets up all communications between your PC/Laptop and the repository. This allows you to combine exercises 1 and 2 in an easy way if you don't want to use terminarl. Keep in mind that these GUIs (graphical user interfaces) are not text editors." ] }, { diff --git a/doc/LectureNotes/_build/.doctrees/E1.doctree b/doc/LectureNotes/_build/.doctrees/E1.doctree index 8b7d3d33f1c3c12cc9cb640efe67f10e96300dc0..1fdcc2b9af595f38d38d7d772355e7761b81124b 100644 GIT binary patch delta 4487 zcmcgweNa@_73W@9AU=pFjv`-qpb0F2odhQf8^_ljU93C|(S#Tz4N^jkJBqSswLo#P%h+?TGS{sa3Q)G~MNH(e0{3%M`m+x7eb(+YPz3 zyx*UQ~DaharT)K#aLu1S(8>$+1b%+78#gqGe7c3pPcEG=qBcB|UyXjiSR*=A97 ziS{<`(&>`gBp37btkst3{}uh_xB5hqZry?o+pUH}Mi7Z)n=Rs6*{+G2q-&zvi3zqN z)s7Cg!`|D1c_M$&Ch47$vg(jwNa9N$Qy#?EVW>_Z&wx!M5B57vP>XJlL)|uc=1A-RV-CE7-YMI? zU-PE(=pa6xSUval*|^(ic;$#jFOqy9Fig!!0H-CsSE<4we=r-bTYgemjBq*m9`$+H z@$?P~-dj_xO9`ZU&yfw}`2fhlp!XkQYt8;-AHeVnGyVKN8|R+;ruTonaX#of$hXct zc23=YaqHlePU_t1x@=n6;A_kZCFBy8x{zD|v2+F;w+xeOe1BC|$B{q#_g7?;YZ?jh zZ?J1{JX@jHC>wMr$T5?Du~xzEoNTl_onvOI)pa?OO$^`jbBF27Q0SYJPm@AnQ}$Dk zktZ<8g1iCtgGO*8Pw+E|ergnjZ?==lz3Ao9a^G)%*bVT)q`d 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index 7a0e6da1e..3f27dec18 100644 --- a/doc/LectureNotes/_build/html/E1.html +++ b/doc/LectureNotes/_build/html/E1.html @@ -32,7 +32,7 @@ - + @@ -428,6 +428,7 @@ document.write(`

b) Create a Github account(), or log in to github with your UiO account (https://github.uio.no/login).

c) Learn the basics of opening the terminal and navigating folders on your operating system. Things to learn: Opening a terminal, opening a terminal in a specific folder, listing the contents of the current folder, navigating into a folder, navigating out of a folder.

d) Download the Github CLI tool and run ´gh auth login´ in your terminal to authenticate your local machine for some of the later steps. (cli/cli). You might need to change file permissions to make it work, ask us or ChatGPT for help with these issues.

+

e) As an alternative to the above terminal based instructions, you could install GitHub Desktop (see https://desktop.github.com/download/) or if you prefer GitLab, GitLab desktop (see https://about.gitlab.com/install/). This sets up all communications between your PC/Laptop and the repository. This allows you to combine exercises 1 and 2 in an easy way if you don’t want to use terminarl. Keep in mind that these GUIs (graphical user interfaces) are not text editors.

Exercise 2 - Setting up a Github repository#

diff --git a/doc/LectureNotes/_build/html/E2.html b/doc/LectureNotes/_build/html/E2.html index 02f3149a3..8908600a6 100644 --- a/doc/LectureNotes/_build/html/E2.html +++ b/doc/LectureNotes/_build/html/E2.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/_sources/E1.ipynb b/doc/LectureNotes/_build/html/_sources/E1.ipynb index 5a9b9a23b..50e773ede 100644 --- a/doc/LectureNotes/_build/html/_sources/E1.ipynb +++ b/doc/LectureNotes/_build/html/_sources/E1.ipynb @@ -67,7 +67,9 @@ "\n", "**c)** Learn the basics of opening the terminal and navigating folders on your operating system. Things to learn: Opening a terminal, opening a terminal in a specific folder, listing the contents of the current folder, navigating into a folder, navigating out of a folder.\n", "\n", - "**d)** Download the Github CLI tool and run ´gh auth login´ in your terminal to authenticate your local machine for some of the later steps. (https://github.com/cli/cli#installation). You might need to change file permissions to make it work, ask us or ChatGPT for help with these issues." + "**d)** Download the Github CLI tool and run ´gh auth login´ in your terminal to authenticate your local machine for some of the later steps. (https://github.com/cli/cli#installation). You might need to change file permissions to make it work, ask us or ChatGPT for help with these issues.\n", + "\n", + "**e)** As an alternative to the above terminal based instructions, you could install GitHub Desktop (see https://desktop.github.com/download/) or if you prefer GitLab, GitLab desktop (see https://about.gitlab.com/install/). This sets up all communications between your PC/Laptop and the repository. This allows you to combine exercises 1 and 2 in an easy way if you don't want to use terminarl. Keep in mind that these GUIs (graphical user interfaces) are not text editors." ] }, { diff --git a/doc/LectureNotes/_build/html/chapter1.html b/doc/LectureNotes/_build/html/chapter1.html index 9533e1f33..e3dc07270 100644 --- a/doc/LectureNotes/_build/html/chapter1.html +++ b/doc/LectureNotes/_build/html/chapter1.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter10.html b/doc/LectureNotes/_build/html/chapter10.html index 4f25e01d4..0dc9c550d 100644 --- a/doc/LectureNotes/_build/html/chapter10.html +++ b/doc/LectureNotes/_build/html/chapter10.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter11.html b/doc/LectureNotes/_build/html/chapter11.html index 0c25dd053..f6ba0449f 100644 --- a/doc/LectureNotes/_build/html/chapter11.html +++ b/doc/LectureNotes/_build/html/chapter11.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter12.html b/doc/LectureNotes/_build/html/chapter12.html index 3f09ef5ca..9a1aa7e93 100644 --- a/doc/LectureNotes/_build/html/chapter12.html +++ b/doc/LectureNotes/_build/html/chapter12.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter13.html b/doc/LectureNotes/_build/html/chapter13.html index d467a4352..2f9371a1c 100644 --- a/doc/LectureNotes/_build/html/chapter13.html +++ b/doc/LectureNotes/_build/html/chapter13.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter2.html b/doc/LectureNotes/_build/html/chapter2.html index ad1f80139..4cbf58b37 100644 --- a/doc/LectureNotes/_build/html/chapter2.html +++ b/doc/LectureNotes/_build/html/chapter2.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter3.html b/doc/LectureNotes/_build/html/chapter3.html index adac56980..c3779d004 100644 --- a/doc/LectureNotes/_build/html/chapter3.html +++ b/doc/LectureNotes/_build/html/chapter3.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter4.html b/doc/LectureNotes/_build/html/chapter4.html index 6cdd43fff..eb79ecaf2 100644 --- a/doc/LectureNotes/_build/html/chapter4.html +++ b/doc/LectureNotes/_build/html/chapter4.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter5.html b/doc/LectureNotes/_build/html/chapter5.html index 43deecd7f..2229bd018 100644 --- a/doc/LectureNotes/_build/html/chapter5.html +++ b/doc/LectureNotes/_build/html/chapter5.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter6.html b/doc/LectureNotes/_build/html/chapter6.html index cfd21945a..2470dff85 100644 --- a/doc/LectureNotes/_build/html/chapter6.html +++ b/doc/LectureNotes/_build/html/chapter6.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter7.html b/doc/LectureNotes/_build/html/chapter7.html index 098e43dc8..bf9071474 100644 --- a/doc/LectureNotes/_build/html/chapter7.html +++ b/doc/LectureNotes/_build/html/chapter7.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter8.html b/doc/LectureNotes/_build/html/chapter8.html index 2c1e8bfcc..f261aa624 100644 --- a/doc/LectureNotes/_build/html/chapter8.html +++ b/doc/LectureNotes/_build/html/chapter8.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter9.html b/doc/LectureNotes/_build/html/chapter9.html index 80886a8fb..5f7bc9adc 100644 --- a/doc/LectureNotes/_build/html/chapter9.html +++ b/doc/LectureNotes/_build/html/chapter9.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapteroptimization.html b/doc/LectureNotes/_build/html/chapteroptimization.html index 082f16dc7..efbb1d1fb 100644 --- a/doc/LectureNotes/_build/html/chapteroptimization.html +++ b/doc/LectureNotes/_build/html/chapteroptimization.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/clustering.html b/doc/LectureNotes/_build/html/clustering.html index 9adcbd5ff..139c272e6 100644 --- a/doc/LectureNotes/_build/html/clustering.html +++ b/doc/LectureNotes/_build/html/clustering.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/linalg.html b/doc/LectureNotes/_build/html/linalg.html index 9d45b7ab0..61c4f11e4 100644 --- a/doc/LectureNotes/_build/html/linalg.html +++ b/doc/LectureNotes/_build/html/linalg.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/schedule.html b/doc/LectureNotes/_build/html/schedule.html index 9df1a8a82..b33319d21 100644 --- a/doc/LectureNotes/_build/html/schedule.html +++ b/doc/LectureNotes/_build/html/schedule.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/searchindex.js b/doc/LectureNotes/_build/html/searchindex.js index 3b1b6e80c..830b4d2fc 100644 --- a/doc/LectureNotes/_build/html/searchindex.js +++ b/doc/LectureNotes/_build/html/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"A Classification Tree": [[11, "a-classification-tree"]], "A Frequentist approach to data analysis": [[2, "a-frequentist-approach-to-data-analysis"], [23, 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"an-extrapolation-example"]], "An optimization/minimization problem": [[23, "an-optimization-minimization-problem"]], "And what about using neural networks?": [[23, "and-what-about-using-neural-networks"]], "Another example, the moons again": [[11, "another-example-the-moons-again"]], "Applied Data Analysis and Machine Learning": [[17, null]], "Autocorrelation function": [[20, "autocorrelation-function"]], "Automatic differentiation": [[15, "automatic-differentiation"]], "Back to the Cancer Data": [[13, "back-to-the-cancer-data"]], "Bagging": [[12, "bagging"]], "Bagging Examples": [[12, "bagging-examples"]], "Basic Matrix Features": [[18, "basic-matrix-features"]], "Basic ideas of the Principal Component Analysis (PCA)": [[13, null]], "Basic math of the SVD": [[7, "basic-math-of-the-svd"]], "Basics": [[9, "basics"]], "Basics of a tree": [[11, "basics-of-a-tree"]], "Batch Normalization": [[3, "batch-normalization"]], "Bayes\u2019 Theorem and Ridge and Lasso Regression": [[7, 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[[5, "convolution-examples-principle-of-superposition-and-periodic-forces-fourier-transforms"]], "Convolutional Neural Network": [[14, "convolutional-neural-network"]], "Convolutional Neural Networks": [[5, null]], "Correlation Matrix": [[13, "correlation-matrix"]], "Course Format": [[23, "course-format"]], "Course setting": [[19, null]], "Cross-validation": [[8, "cross-validation"]], "Deadlines for projects (tentative)": [[23, "deadlines-for-projects-tentative"]], "Decision trees, overarching aims": [[11, null]], "Deep learning methods": [[23, "deep-learning-methods"]], "Define model and architecture": [[3, "define-model-and-architecture"]], "Defining the cost function": [[3, "defining-the-cost-function"]], "Deliverables": [[0, "deliverables"], [1, "deliverables"]], "Derivatives and the chain rule": [[14, "derivatives-and-the-chain-rule"]], "Deriving OLS from a probability distribution": [[7, "deriving-ols-from-a-probability-distribution"]], "Deriving and Implementing Ordinary Least Squares": [[1, "deriving-and-implementing-ordinary-least-squares"]], "Deriving the back propagation code for a multilayer perceptron model": [[14, "deriving-the-back-propagation-code-for-a-multilayer-perceptron-model"]], "Developing a code for doing neural networks with back propagation": [[3, "developing-a-code-for-doing-neural-networks-with-back-propagation"]], "Diagonalize the sample covariance matrix to obtain the principal components": [[13, "diagonalize-the-sample-covariance-matrix-to-obtain-the-principal-components"]], "Different kernels and Mercer\u2019s theorem": [[10, "different-kernels-and-mercer-s-theorem"]], "Disadvantages": [[11, "disadvantages"]], "Discriminative Modeling": [[23, "discriminative-modeling"]], "Domains and probabilities": [[20, "domains-and-probabilities"]], "Dropout": [[3, "dropout"]], "Elements of Probability Theory and Statistical Data Analysis": [[20, null]], "Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods": [[12, null]], "Entropy and the ID3 algorithm": [[11, "entropy-and-the-id3-algorithm"]], "Essential elements of ML": [[23, "essential-elements-of-ml"]], "Evaluate model performance on test data": [[3, "evaluate-model-performance-on-test-data"]], "Example of discriminative modeling, taken from Generative Deep Learning by David Foster": [[23, "example-of-discriminative-modeling-taken-from-generative-deep-learning-by-david-foster"]], "Example of generative modeling, taken from Generative Deep Learning by David Foster": [[23, "example-of-generative-modeling-taken-from-generative-deep-learning-by-david-foster"]], "Example: Exponential decay": [[4, "example-exponential-decay"]], "Example: Population growth": [[4, "example-population-growth"]], "Example: The diffusion equation": [[4, "example-the-diffusion-equation"]], "Example: binary classification problem": [[3, "example-binary-classification-problem"]], "Examples": [[23, "examples"]], "Examples of likelihood functions used in logistic regression and neural networks": [[9, "examples-of-likelihood-functions-used-in-logistic-regression-and-neural-networks"]], "Exercise 1 - Finding the derivative of Matrix-Vector expressions": [[1, "exercise-1-finding-the-derivative-of-matrix-vector-expressions"]], "Exercise 1 - Github Setup": [[0, "exercise-1-github-setup"]], "Exercise 1: Setting up various Python environments": [[2, "exercise-1-setting-up-various-python-environments"]], "Exercise 2 - Deriving the expression for OLS": [[1, "exercise-2-deriving-the-expression-for-ols"]], "Exercise 2 - Setting up a Github repository": [[0, "exercise-2-setting-up-a-github-repository"]], "Exercise 2: making your own data and exploring scikit-learn": [[2, "exercise-2-making-your-own-data-and-exploring-scikit-learn"]], "Exercise 3 - Creating feature matrix and implementing OLS using the analytical expression": [[1, "exercise-3-creating-feature-matrix-and-implementing-ols-using-the-analytical-expression"]], "Exercise 3 - Fitting an OLS model to data": [[0, "exercise-3-fitting-an-ols-model-to-data"]], "Exercise 3 - Setting up a Python virtual environment": [[0, "exercise-3-setting-up-a-python-virtual-environment"]], "Exercise 3: Normalizing our data": [[2, "exercise-3-normalizing-our-data"]], "Exercise 4 - Fitting a polynomial": [[1, "exercise-4-fitting-a-polynomial"]], "Exercise 4 - The train-test split": [[0, "exercise-4-the-train-test-split"]], "Exercise 4: Adding Ridge Regression": [[2, "exercise-4-adding-ridge-regression"]], "Exercise 5 - Comparing your code with sklearn": [[1, "exercise-5-comparing-your-code-with-sklearn"]], "Exercise 5: Analytical exercises": [[2, "exercise-5-analytical-exercises"]], "Exercise: Cross-validation as resampling techniques, adding more complexity": [[8, "exercise-cross-validation-as-resampling-techniques-adding-more-complexity"]], "Exercise: Analysis of real data": [[8, "exercise-analysis-of-real-data"]], "Exercise: Bias-variance trade-off and resampling techniques": [[8, "exercise-bias-variance-trade-off-and-resampling-techniques"]], "Exercise: Lasso Regression on the Franke function with resampling": [[8, "exercise-lasso-regression-on-the-franke-function-with-resampling"]], "Exercise: Ordinary Least Square (OLS) on the Franke function": [[8, "exercise-ordinary-least-square-ols-on-the-franke-function"]], "Exercise: Ridge Regression on the Franke function with resampling": [[8, "exercise-ridge-regression-on-the-franke-function-with-resampling"]], "Exercises": [[2, "exercises"]], "Exercises and Projects": [[8, "exercises-and-projects"]], "Exercises week 34": [[0, null]], "Exercises week 35": [[1, null]], "Expectation values": [[20, "expectation-values"]], "Extremely useful tools, strongly recommended": [[23, "extremely-useful-tools-strongly-recommended"]], "Feed-forward neural networks": [[14, "feed-forward-neural-networks"]], "Feed-forward pass": [[3, "feed-forward-pass"]], "Final back propagating equation": [[14, "final-back-propagating-equation"]], "Fine-tuning neural network hyperparameters": [[3, "fine-tuning-neural-network-hyperparameters"]], "Fitting an Equation of State for Dense Nuclear Matter": [[2, "fitting-an-equation-of-state-for-dense-nuclear-matter"]], "From one to many layers, the universal approximation theorem": [[14, "from-one-to-many-layers-the-universal-approximation-theorem"]], "Further Dimensionality Remarks": [[5, "further-dimensionality-remarks"]], "Further properties (important for our analyses later)": [[7, "further-properties-important-for-our-analyses-later"]], "Gaussian Elimination": [[18, "gaussian-elimination"]], "General Features": [[11, "general-features"]], "General linear models and linear algebra": [[23, "general-linear-models-and-linear-algebra"]], "Generalizing the fitting procedure as a linear algebra problem": [[23, "generalizing-the-fitting-procedure-as-a-linear-algebra-problem"], [23, "id1"]], "Generative Adversarial Networks": [[6, "generative-adversarial-networks"]], "Generative Models": [[6, "generative-models"]], "Generative Versus Discriminative Modeling": [[23, "generative-versus-discriminative-modeling"]], "Geometric Interpretation and link with Singular Value Decomposition": [[13, "geometric-interpretation-and-link-with-singular-value-decomposition"]], "Gradient Boosting, Classification Example": [[12, "gradient-boosting-classification-example"]], "Gradient Boosting, Examples of Regression": [[12, "gradient-boosting-examples-of-regression"]], "Gradient Clipping": [[3, "gradient-clipping"]], "Gradient boosting: Basics with Steepest Descent/Functional Gradient Descent": [[12, "gradient-boosting-basics-with-steepest-descent-functional-gradient-descent"]], "Gradient descent": [[4, "gradient-descent"]], "Grading": [[21, "grading"], [21, "id2"], [23, "grading"]], "Housing data, the code": [[2, "housing-data-the-code"]], "How to take derivatives of Matrix-Vector expressions": [[1, "how-to-take-derivatives-of-matrix-vector-expressions"]], "Hyperplanes and all that": [[10, "hyperplanes-and-all-that"]], "Important Matrix and vector handling packages": [[18, "important-matrix-and-vector-handling-packages"]], "Improving performance": [[3, "improving-performance"]], "In summary": [[21, "in-summary"]], "Including Stochastic Gradient Descent with Autograd": [[15, "including-stochastic-gradient-descent-with-autograd"]], "Incremental PCA": [[13, "incremental-pca"]], "Installing R, C++, cython or Julia": [[23, "installing-r-c-cython-or-julia"]], "Installing R, C++, cython, Numba etc": [[23, "installing-r-c-cython-numba-etc"]], "Instructor information": [[21, "instructor-information"]], "Interpretations and optimizing our parameters": [[23, "interpretations-and-optimizing-our-parameters"], [23, "id2"], [23, "id3"]], "Introducing JAX": [[15, "introducing-jax"]], "Introducing the Covariance and Correlation functions": [[13, "introducing-the-covariance-and-correlation-functions"]], "Introduction": [[2, "introduction"], [8, "introduction"], [17, "introduction"], [18, "introduction"]], "Iterative Fitting, Classification and AdaBoost": [[12, "iterative-fitting-classification-and-adaboost"]], "Iterative Fitting, Regression and Squared-error Cost Function": [[12, "iterative-fitting-regression-and-squared-error-cost-function"]], "Kernel PCA": [[13, "kernel-pca"]], "Kernels and non-linearity": [[10, "kernels-and-non-linearity"]], "LU Decomposition, the inverse of a matrix": [[18, "lu-decomposition-the-inverse-of-a-matrix"]], "Layers": [[3, "layers"]], "Layers used to build CNNs": [[5, "layers-used-to-build-cnns"]], "Learning goals": [[0, "learning-goals"], [1, "learning-goals"]], "Learning outcomes": [[17, "learning-outcomes"], [23, "learning-outcomes"]], "Lectures and ComputerLab": [[23, "lectures-and-computerlab"]], "Limitations of supervised learning with deep networks": [[3, "limitations-of-supervised-learning-with-deep-networks"]], "Linear Algebra, Handling of Arrays and more Python Features": [[18, null]], "Linear Regression": [[2, null]], 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Squares": [[7, "mathematical-interpretation-of-ordinary-least-squares"]], "Mathematical optimization of convex functions": [[10, "mathematical-optimization-of-convex-functions"]], "Mathematics of CNNs": [[5, "mathematics-of-cnns"]], "Mathematics of the SVD and implications": [[7, "mathematics-of-the-svd-and-implications"]], "Matrices in Python": [[23, "matrices-in-python"]], "Matrix multiplication": [[3, "matrix-multiplication"]], "Matrix-vector notation and activation": [[14, "matrix-vector-notation-and-activation"]], "Meet the covariance!": [[20, "meet-the-covariance"]], "Meet the Covariance Matrix": [[7, "meet-the-covariance-matrix"]], "Meet the Pandas": [[23, "meet-the-pandas"]], "Momentum based GD": [[15, "momentum-based-gd"]], "More complicated Example: The Ising model": [[8, "more-complicated-example-the-ising-model"]], "More on Dimensionalities": [[5, "more-on-dimensionalities"]], "More on Rescaling data": [[8, "more-on-rescaling-data"]], "Multilayer perceptrons": [[14, 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[[10, "different-kernels-and-mercer-s-theorem"]], "Disadvantages": [[11, "disadvantages"]], "Discriminative Modeling": [[23, "discriminative-modeling"]], "Domains and probabilities": [[20, "domains-and-probabilities"]], "Dropout": [[3, "dropout"]], "Elements of Probability Theory and Statistical Data Analysis": [[20, null]], "Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods": [[12, null]], "Entropy and the ID3 algorithm": [[11, "entropy-and-the-id3-algorithm"]], "Essential elements of ML": [[23, "essential-elements-of-ml"]], "Evaluate model performance on test data": [[3, "evaluate-model-performance-on-test-data"]], "Example of discriminative modeling, taken from Generative Deep Learning by David Foster": [[23, "example-of-discriminative-modeling-taken-from-generative-deep-learning-by-david-foster"]], "Example of generative modeling, taken from Generative Deep Learning by David Foster": [[23, "example-of-generative-modeling-taken-from-generative-deep-learning-by-david-foster"]], "Example: Exponential decay": [[4, "example-exponential-decay"]], "Example: Population growth": [[4, "example-population-growth"]], "Example: The diffusion equation": [[4, "example-the-diffusion-equation"]], "Example: binary classification problem": [[3, "example-binary-classification-problem"]], "Examples": [[23, "examples"]], "Examples of likelihood functions used in logistic regression and neural networks": [[9, "examples-of-likelihood-functions-used-in-logistic-regression-and-neural-networks"]], "Exercise 1 - Finding the derivative of Matrix-Vector expressions": [[1, "exercise-1-finding-the-derivative-of-matrix-vector-expressions"]], "Exercise 1 - Github Setup": [[0, "exercise-1-github-setup"]], "Exercise 1: Setting up various Python environments": [[2, "exercise-1-setting-up-various-python-environments"]], "Exercise 2 - Deriving the expression for OLS": [[1, "exercise-2-deriving-the-expression-for-ols"]], "Exercise 2 - Setting up a Github repository": [[0, "exercise-2-setting-up-a-github-repository"]], "Exercise 2: making your own data and exploring scikit-learn": [[2, "exercise-2-making-your-own-data-and-exploring-scikit-learn"]], "Exercise 3 - Creating feature matrix and implementing OLS using the analytical expression": [[1, "exercise-3-creating-feature-matrix-and-implementing-ols-using-the-analytical-expression"]], "Exercise 3 - Fitting an OLS model to data": [[0, "exercise-3-fitting-an-ols-model-to-data"]], "Exercise 3 - Setting up a Python virtual environment": [[0, "exercise-3-setting-up-a-python-virtual-environment"]], "Exercise 3: Normalizing our data": [[2, "exercise-3-normalizing-our-data"]], "Exercise 4 - Fitting a polynomial": [[1, "exercise-4-fitting-a-polynomial"]], "Exercise 4 - The train-test split": [[0, "exercise-4-the-train-test-split"]], "Exercise 4: Adding Ridge Regression": [[2, "exercise-4-adding-ridge-regression"]], "Exercise 5 - Comparing your code with sklearn": [[1, "exercise-5-comparing-your-code-with-sklearn"]], "Exercise 5: Analytical exercises": [[2, "exercise-5-analytical-exercises"]], "Exercise: Cross-validation as resampling techniques, adding more complexity": [[8, "exercise-cross-validation-as-resampling-techniques-adding-more-complexity"]], "Exercise: Analysis of real data": [[8, "exercise-analysis-of-real-data"]], "Exercise: Bias-variance trade-off and resampling techniques": [[8, "exercise-bias-variance-trade-off-and-resampling-techniques"]], "Exercise: Lasso Regression on the Franke function with resampling": [[8, "exercise-lasso-regression-on-the-franke-function-with-resampling"]], "Exercise: Ordinary Least Square (OLS) on the Franke function": [[8, "exercise-ordinary-least-square-ols-on-the-franke-function"]], "Exercise: Ridge Regression on the Franke function with resampling": [[8, "exercise-ridge-regression-on-the-franke-function-with-resampling"]], "Exercises": [[2, "exercises"]], "Exercises and Projects": [[8, "exercises-and-projects"]], "Exercises week 34": [[0, null]], "Exercises week 35": [[1, null]], "Expectation values": [[20, "expectation-values"]], "Extremely useful tools, strongly recommended": [[23, "extremely-useful-tools-strongly-recommended"]], "Feed-forward neural networks": [[14, "feed-forward-neural-networks"]], "Feed-forward pass": [[3, "feed-forward-pass"]], "Final back propagating equation": [[14, "final-back-propagating-equation"]], "Fine-tuning neural network hyperparameters": [[3, "fine-tuning-neural-network-hyperparameters"]], "Fitting an Equation of State for Dense Nuclear Matter": [[2, "fitting-an-equation-of-state-for-dense-nuclear-matter"]], "From one to many layers, the universal approximation theorem": [[14, "from-one-to-many-layers-the-universal-approximation-theorem"]], "Further Dimensionality Remarks": [[5, "further-dimensionality-remarks"]], "Further properties (important for our analyses later)": [[7, "further-properties-important-for-our-analyses-later"]], "Gaussian Elimination": [[18, "gaussian-elimination"]], "General Features": [[11, "general-features"]], "General linear models and linear algebra": [[23, "general-linear-models-and-linear-algebra"]], "Generalizing the fitting procedure as a linear algebra problem": [[23, "generalizing-the-fitting-procedure-as-a-linear-algebra-problem"], [23, "id1"]], "Generative Adversarial Networks": [[6, "generative-adversarial-networks"]], "Generative Models": [[6, "generative-models"]], "Generative Versus Discriminative Modeling": [[23, "generative-versus-discriminative-modeling"]], "Geometric Interpretation and link with Singular Value Decomposition": [[13, "geometric-interpretation-and-link-with-singular-value-decomposition"]], "Gradient Boosting, Classification Example": [[12, "gradient-boosting-classification-example"]], "Gradient Boosting, Examples of Regression": [[12, "gradient-boosting-examples-of-regression"]], "Gradient Clipping": [[3, "gradient-clipping"]], "Gradient boosting: Basics with Steepest Descent/Functional Gradient Descent": [[12, "gradient-boosting-basics-with-steepest-descent-functional-gradient-descent"]], "Gradient descent": [[4, "gradient-descent"]], "Grading": [[21, "grading"], [21, "id2"], [23, "grading"]], "Housing data, the code": [[2, "housing-data-the-code"]], "How to take derivatives of Matrix-Vector expressions": [[1, "how-to-take-derivatives-of-matrix-vector-expressions"]], "Hyperplanes and all that": [[10, "hyperplanes-and-all-that"]], "Important Matrix and vector handling packages": [[18, "important-matrix-and-vector-handling-packages"]], "Improving performance": [[3, "improving-performance"]], "In summary": [[21, "in-summary"]], "Including Stochastic Gradient Descent with Autograd": [[15, "including-stochastic-gradient-descent-with-autograd"]], "Incremental PCA": [[13, "incremental-pca"]], "Installing R, C++, cython or Julia": [[23, "installing-r-c-cython-or-julia"]], "Installing R, C++, cython, Numba etc": [[23, "installing-r-c-cython-numba-etc"]], "Instructor information": [[21, "instructor-information"]], "Interpretations and optimizing our parameters": [[23, "interpretations-and-optimizing-our-parameters"], [23, "id2"], [23, "id3"]], "Introducing JAX": [[15, "introducing-jax"]], "Introducing the Covariance and Correlation functions": [[13, "introducing-the-covariance-and-correlation-functions"]], "Introduction": [[2, "introduction"], [8, "introduction"], [17, "introduction"], [18, "introduction"]], "Iterative Fitting, Classification and AdaBoost": [[12, "iterative-fitting-classification-and-adaboost"]], "Iterative Fitting, Regression and Squared-error Cost Function": [[12, "iterative-fitting-regression-and-squared-error-cost-function"]], "Kernel PCA": [[13, "kernel-pca"]], "Kernels and non-linearity": [[10, "kernels-and-non-linearity"]], "LU 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[[7, "linking-with-the-svd"]], "Links to relevant courses at the University of Oslo": [[22, "links-to-relevant-courses-at-the-university-of-oslo"]], "Logistic Regression": [[9, null], [9, "id1"]], "MNIST and GANs": [[6, "mnist-and-gans"]], "Machine Learning": [[23, "machine-learning"]], "Machine learning": [[17, "machine-learning"]], "Main textbooks": [[23, "main-textbooks"]], "Making a tree": [[11, "making-a-tree"]], "Making your own Bootstrap: Changing the Level of the Decision Tree": [[12, "making-your-own-bootstrap-changing-the-level-of-the-decision-tree"]], "Mathematical Interpretation of Ordinary Least Squares": [[7, "mathematical-interpretation-of-ordinary-least-squares"]], "Mathematical optimization of convex functions": [[10, "mathematical-optimization-of-convex-functions"]], "Mathematics of CNNs": [[5, "mathematics-of-cnns"]], "Mathematics of the SVD and implications": [[7, "mathematics-of-the-svd-and-implications"]], "Matrices in Python": [[23, "matrices-in-python"]], "Matrix multiplication": [[3, "matrix-multiplication"]], "Matrix-vector notation and activation": [[14, "matrix-vector-notation-and-activation"]], "Meet the covariance!": [[20, "meet-the-covariance"]], "Meet the Covariance Matrix": [[7, "meet-the-covariance-matrix"]], "Meet the Pandas": [[23, "meet-the-pandas"]], "Momentum based GD": [[15, "momentum-based-gd"]], "More complicated Example: The Ising model": [[8, "more-complicated-example-the-ising-model"]], "More on Dimensionalities": [[5, "more-on-dimensionalities"]], "More on Rescaling data": [[8, "more-on-rescaling-data"]], "Multilayer perceptrons": [[14, "multilayer-perceptrons"]], "Network requirements": [[4, "network-requirements"]], "Neural Networks vs CNNs": [[5, "neural-networks-vs-cnns"]], "Neural networks": [[14, null]], "Numerical experiments and the covariance, central limit theorem": [[20, "numerical-experiments-and-the-covariance-central-limit-theorem"]], "Numpy and arrays": [[18, "numpy-and-arrays"], [23, 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"wave": 4, "we": 23, "week": [0, 1, 23], "what": [2, 23], "which": 3, "why": 23, "wisconsin": 9, "write": [6, 13], "xgboost": 12, "your": [1, 2, 12]}}) \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/statistics.html b/doc/LectureNotes/_build/html/statistics.html index 609f35222..c8c827326 100644 --- a/doc/LectureNotes/_build/html/statistics.html +++ b/doc/LectureNotes/_build/html/statistics.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/teachers.html b/doc/LectureNotes/_build/html/teachers.html index 46b911239..806d23f14 100644 --- a/doc/LectureNotes/_build/html/teachers.html +++ b/doc/LectureNotes/_build/html/teachers.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/html/textbooks.html b/doc/LectureNotes/_build/html/textbooks.html index 5bc6ed51d..1be2e947d 100644 --- a/doc/LectureNotes/_build/html/textbooks.html +++ b/doc/LectureNotes/_build/html/textbooks.html @@ -32,7 +32,7 @@ - + diff --git a/doc/LectureNotes/_build/jupyter_execute/E1.ipynb b/doc/LectureNotes/_build/jupyter_execute/E1.ipynb index 989dc907a..851509f7b 100644 --- a/doc/LectureNotes/_build/jupyter_execute/E1.ipynb +++ b/doc/LectureNotes/_build/jupyter_execute/E1.ipynb @@ -67,7 +67,9 @@ "\n", "**c)** Learn the basics of opening the terminal and navigating folders on your operating system. Things to learn: Opening a terminal, opening a terminal in a specific folder, listing the contents of the current folder, navigating into a folder, navigating out of a folder.\n", "\n", - "**d)** Download the Github CLI tool and run ´gh auth login´ in your terminal to authenticate your local machine for some of the later steps. (https://github.com/cli/cli#installation). You might need to change file permissions to make it work, ask us or ChatGPT for help with these issues." + "**d)** Download the Github CLI tool and run ´gh auth login´ in your terminal to authenticate your local machine for some of the later steps. (https://github.com/cli/cli#installation). You might need to change file permissions to make it work, ask us or ChatGPT for help with these issues.\n", + "\n", + "**e)** As an alternative to the above terminal based instructions, you could install GitHub Desktop (see https://desktop.github.com/download/) or if you prefer GitLab, GitLab desktop (see https://about.gitlab.com/install/). This sets up all communications between your PC/Laptop and the repository. This allows you to combine exercises 1 and 2 in an easy way if you don't want to use terminarl. Keep in mind that these GUIs (graphical user interfaces) are not text editors." ] }, { diff --git a/doc/LectureNotes/exercisesweek34.ipynb b/doc/LectureNotes/exercisesweek34.ipynb index 5a9b9a23b..50e773ede 100644 --- a/doc/LectureNotes/exercisesweek34.ipynb +++ b/doc/LectureNotes/exercisesweek34.ipynb @@ -67,7 +67,9 @@ "\n", "**c)** Learn the basics of opening the terminal and navigating folders on your operating system. Things to learn: Opening a terminal, opening a terminal in a specific folder, listing the contents of the current folder, navigating into a folder, navigating out of a folder.\n", "\n", - "**d)** Download the Github CLI tool and run ´gh auth login´ in your terminal to authenticate your local machine for some of the later steps. (https://github.com/cli/cli#installation). You might need to change file permissions to make it work, ask us or ChatGPT for help with these issues." + "**d)** Download the Github CLI tool and run ´gh auth login´ in your terminal to authenticate your local machine for some of the later steps. (https://github.com/cli/cli#installation). You might need to change file permissions to make it work, ask us or ChatGPT for help with these issues.\n", + "\n", + "**e)** As an alternative to the above terminal based instructions, you could install GitHub Desktop (see https://desktop.github.com/download/) or if you prefer GitLab, GitLab desktop (see https://about.gitlab.com/install/). This sets up all communications between your PC/Laptop and the repository. This allows you to combine exercises 1 and 2 in an easy way if you don't want to use terminarl. Keep in mind that these GUIs (graphical user interfaces) are not text editors." ] }, {