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project:
type: website
output-dir: docs
css:
- https://lalten.github.io/lmweb/style/latinmodern-roman.css
- https://lalten.github.io/lmweb/style/latinmodern-mono.css
mainfont: "Latin Modern Roman"
fontsize: 14pt
fontfamilyoptions: "oblique"
monofont: "Latin Modern Mono"
highlight-style: "tango"
website:
favicon: icon.png
title: "Machine Learning Algorithms"
page-navigation: true
sidebar:
collapse-level: 1
tools:
- icon: linkedin
href: https://www.linkedin.com/in/sherry-thomassp/
- icon: github
href: https://github.com/SherryS997/Machine-Learning-Algorithms
style: "docked"
search: true
contents:
- href: index.qmd
text: Home
- href: pages/intro.qmd
text: Introduction to MLA
- section: "Unsupervised Learning"
contents:
- section: "Representation learning"
contents:
- href: pages/PCA.qmd
text: Principal component analysis (PCA)
- href: pages/Kernel_PCA.qmd
text: Kernel PCA
- section: "Clustering"
contents:
- href: pages/kmeans.qmd
text: K-means clustering
- href: pages/kkmeans.qmd
text: Kernel K-means clustering
- section: "Estimation"
contents:
- href: pages/mle.qmd
text: Maximum likelihood estimation (MLE)
- href: pages/bayes_est.qmd
text: Bayesian estimation
- href: pages/gmm.qmd
text: Gaussian mixture model (GMM)
- href: pages/em.qmd
text: Expectation-maximization (EM) algorithm
- section: "Supervised Learning"
contents:
- section: "Regression"
contents:
- href: pages/lin_reg.qmd
text: Least squares regression
- href: pages/klin_reg.qmd
text: Kernel Least squares regression
- href: pages/bayes_lin_reg.qmd
text: Bayesian view of least squares regression
- href: pages/rid_lin_reg.qmd
text: Ridge regression
- href: pages/lasso_lin_reg.qmd
text: LASSO regression
- section: "Classification"
contents:
- href: pages/knn.qmd
text: K-nearest neighbors (KNN)
- href: pages/dec_trees.qmd
text: Decision tree
- section: "Generative models"
contents:
- href: pages/naive_bayes.qmd
text: Naive Bayes
- section: "Discriminative models"
contents:
- href: pages/percp.qmd
text: Perceptron
- href: pages/log_reg.qmd
text: Logistic regression
- href: pages/svm.qmd
text: Support vector machines (SVMs)
- section: "Ensemble methods"
contents:
- href: pages/bag.qmd
text: Bagging
- href: pages/boost.qmd
text: Boosting
- section: "Deep Learning"
contents:
- href: pages/notations_nn .qmd
text: Notations
- section: "Neural Networks"
contents:
- href: pages/nn_basics.qmd
text: Introduction
- href: pages/activations.qmd
text: Activations
- href: pages/ffn.qmd
text: Forward Propagation
- href: pages/backprop.qmd
text: Backpropagation
- href: pages/gradient.qmd
text: Gradient Descent
- section: "Practical DL"
contents:
- href: pages/weight_init.qmd
text: Weight Initializations
- section: "Reinforcement Learning"
contents:
- href: pages/mutli-arm.ipynb
text: Multi-Armed Bandit
- section: "Basic Cognitive Processes"
contents:
- href: pages/bcp1.qmd
text: "Foundations of Psychological Concepts and Theories-I"
- href: pages/bcp2.qmd
text: "Foundations of Psychological Concepts and Theories-II"
- href: pages/bcp3.qmd
text: "Understanding Research Designs"
- href: pages/bcp4.qmd
text: "Vision and Perception"
- href: pages/bcp5.qmd
text: "Perception Theories and Sensory Processing"
- href: pages/bcp6.qmd
text: "Attention and Memory Mechanisms"
- href: pages/bcp7.qmd
text: "Memory Systems and Processes"
- href: pages/bcp8.qmd
text: "Memory and Brain Function"
- section: "Others"
contents:
- href: pages/fp-hfg.qmd
text: FastPitch HiFi-GAN Pipeline
- href: about.qmd
text: About me
format:
html:
theme:
light: [zephyr, styles_light.scss]
dark: [darkly, styles.scss]
toc: true