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--- research:mlfbook [2022/02/07 20:01] – hj
+++ research:mlfbook [2024/04/02 22:44] (current) – [Machine Learning Fundamentals ©Hui Jiang 2021, Cambridge University Press] huijiang
@@ Line 7: / Line 7: @@
-  * **Hui Jiang**, **[[https://www.amazon.com/Machine-Learning-Fundamentals-Concise-Introduction/dp/1108940021 | "Machine Learning Fundamentals"]]**, //Cambridge University Press,// 2021. ({{:research:mlf-jiang.bib|bibtex}})
+  * **Hui Jiang**, **[[https://www.amazon.com/Machine-Learning-Fundamentals-Concise-Introduction/dp/1108940021 | "Machine Learning Fundamentals"]]**, //[[https://www.cambridge.org/ca/academic/subjects/computer-science/pattern-recognition-and-machine-learning/machine-learning-fundamentals-concise-introduction?format=PB|Cambridge University Press]],// 2021. ({{:research:mlf-jiang.bib|bibtex}})
-  * [[https://github.com/iNCML/MachineLearningBook|GitHub Site]]: for Lecture Slides (chapter by chapter) and other supplementary  materials
+  * [[https://github.com/iNCML/MachineLearningBook|GitHub Site]]: the companion repository for supplementary  materials
   - {{:research:detailedcontents.pdf|Detailed Content}}
-  - Lecture Slides: Ch1, Ch2, Ch3, Ch4, Ch5, Ch6, Ch7, Ch8, Ch9, Ch10, Ch11, Ch12, Ch13, Ch14, Ch15
+  - Lecture Slides: {{:research:ch1_introduction.pdf|Ch1}}, {{:research:ch2_mathematical_foundation.pdf|Ch2}}, {{:research:ch3_supervised_machine_learning.pdf|Ch3}}, {{:research:ch4_feature_extraction.pdf|Ch4}}, {{:research:ch5_statistical_learning_theory.pdf|Ch5}}, {{:research:ch6_linear_models.pdf|Ch6}}, {{:research:ch7_learning_discriminative_models.pdf|Ch7}}, {{:research:ch8_neural_networks.pdf|Ch8}}, {{:research:ch9_ensemble_learning.pdf|Ch9}}, {{:research:ch10_overview_generative_models.pdf|Ch10}}, {{:research:ch11_unimodal_models.pdf|Ch11}}, {{:research:ch12_mixture_models.pdf|Ch12}}, {{:research:ch13_entangled_models.pdf|Ch13}}, {{:research:ch14_bayesian_learning.pdf|Ch14}}, {{:research:ch15_graphical_models.pdf|Ch15}}
   * **Supplementary Lab Projects**:
+  - Lab 0: [[https://www.eecs.yorku.ca/~huijiang/MLF-Labs/Lab0_Preparation.html|Preparation]]
-  - Lab 0: Preparation
+  - Lab 1: [[https://www.eecs.yorku.ca/~huijiang/MLF-Labs/Lab1_Data_Visualization.html|Data Visualization]]
-  - Lab 1: Data Visualization
+  - Lab 2: [[https://www.eecs.yorku.ca/~huijiang/MLF-Labs/Lab2_Linear_Regression.html|Linear Regression]]
-  - Lab 2: Linear Regression
+  - Lab 3: [[https://www.eecs.yorku.ca/~huijiang/MLF-Labs/Lab3_Logistic_Regression.html|Logistic Regression]]
-  - Lab 3: Logistic Regression
+  - Lab 4: [[https://www.eecs.yorku.ca/~huijiang/MLF-Labs/Lab4_Support_Vector_Machine.html|Support Vector Machines]]
-  - Lab 4: Support Vector Machines
+  - Lab 5: [[https://www.eecs.yorku.ca/~huijiang/MLF-Labs/Lab5_Fully_Connected_Neural_Networks.html|Fully-Connected Neural Networks]]
-  - Lab 5: Fully-Connected Neural Networks
+  - Lab 6: [[https://www.eecs.yorku.ca/~huijiang/MLF-Labs/Lab6_Convolutional_Neural_Networks.html|Convolutional Neural Networks]]
-  - Lab 6: Convolutional Neural Networks
+  - Lab 7: [[https://www.eecs.yorku.ca/~huijiang/MLF-Labs/Lab7_Transformers.html|Transformers]]
+  - Lab 8: [[https://www.eecs.yorku.ca/~huijiang/MLF-Labs/Lab8_Matrix_Factorization.html|Matrix Factorization]]
+  - Lab 9: Decision Trees, Random Forests and Boosted Trees
+  - Lab 10: Gaussian Classifiers and Gaussian Mixture Models