Study guides, Class notes & Summaries
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ST2134 - Statistical Inference
- Class notes • 6 pages • 2023
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- $7.99
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These meticulously crafted notes reflect my dedication to understanding and synthesizing the complex concepts covered in the course. With a focus on clarity and comprehensiveness, these notes aim to serve as a valuable resource for fellow students seeking a comprehensive and organized overview of statistical inference.
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ST2133 - Distribution Theory
- Class notes • 5 pages • 2023
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- $7.99
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These meticulously crafted notes reflect my dedication to understanding and synthesizing the complex concepts covered in the course. With a focus on clarity and comprehensiveness, these notes aim to serve as a valuable resource for fellow students seeking a comprehensive and organized overview of distribution theory.
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ST3189 - Block 10 (Non-Linear Models)
- Class notes • 5 pages • 2023
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- $10.39
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These meticulously crafted notes reflect my dedication to understanding and synthesizing the complex concepts covered in the course. With a focus on clarity and comprehensiveness, these notes aim to serve as a valuable resource for fellow students seeking a comprehensive and organized overview of machine learning principles. Covering key topics and insights gained throughout the course, these notes represent my commitment to academic excellence and a desire to contribute to the success of others...
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ST3189 - Block 9 (SVM)
- Class notes • 5 pages • 2023
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- $10.39
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These meticulously crafted notes reflect my dedication to understanding and synthesizing the complex concepts covered in the course. With a focus on clarity and comprehensiveness, these notes aim to serve as a valuable resource for fellow students seeking a comprehensive and organized overview of machine learning principles. Covering key topics and insights gained throughout the course, these notes represent my commitment to academic excellence and a desire to contribute to the success of others...
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ST3189 - Block 8 (Decision Trees)
- Class notes • 6 pages • 2023
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- $10.39
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These meticulously crafted notes reflect my dedication to understanding and synthesizing the complex concepts covered in the course. With a focus on clarity and comprehensiveness, these notes aim to serve as a valuable resource for fellow students seeking a comprehensive and organized overview of machine learning principles. Covering key topics and insights gained throughout the course, these notes represent my commitment to academic excellence and a desire to contribute to the success of others...
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ST3189 - Block 7 (Unsupervised Learning)
- Class notes • 4 pages • 2023
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- $10.39
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These meticulously crafted notes reflect my dedication to understanding and synthesizing the complex concepts covered in the course. With a focus on clarity and comprehensiveness, these notes aim to serve as a valuable resource for fellow students seeking a comprehensive and organized overview of machine learning principles. Covering key topics and insights gained throughout the course, these notes represent my commitment to academic excellence and a desire to contribute to the success of others...
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ST3189 - Block 6 (Classification)
- Class notes • 7 pages • 2023
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- $10.39
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These meticulously crafted notes reflect my dedication to understanding and synthesizing the complex concepts covered in the course. With a focus on clarity and comprehensiveness, these notes aim to serve as a valuable resource for fellow students seeking a comprehensive and organized overview of machine learning principles. Covering key topics and insights gained throughout the course, these notes represent my commitment to academic excellence and a desire to contribute to the success of others...
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ST3189 - Block 5 (Linear Regression)
- Class notes • 5 pages • 2023
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- $10.39
- + learn more
These meticulously crafted notes reflect my dedication to understanding and synthesizing the complex concepts covered in the course. With a focus on clarity and comprehensiveness, these notes aim to serve as a valuable resource for fellow students seeking a comprehensive and organized overview of machine learning principles. Covering key topics and insights gained throughout the course, these notes represent my commitment to academic excellence and a desire to contribute to the success of others...
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ST3189 - Block 3 (Sampling & Resampling Methods)
- Class notes • 3 pages • 2023
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- $10.39
- + learn more
These meticulously crafted notes reflect my dedication to understanding and synthesizing the complex concepts covered in the course. With a focus on clarity and comprehensiveness, these notes aim to serve as a valuable resource for fellow students seeking a comprehensive and organized overview of machine learning principles. Covering key topics and insights gained throughout the course, these notes represent my commitment to academic excellence and a desire to contribute to the success of others...
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ST3189 - Block 4 (Bayesian Inference)
- Class notes • 5 pages • 2023
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- $10.39
- + learn more
These meticulously crafted notes reflect my dedication to understanding and synthesizing the complex concepts covered in the course. With a focus on clarity and comprehensiveness, these notes aim to serve as a valuable resource for fellow students seeking a comprehensive and organized overview of machine learning principles. Covering key topics and insights gained throughout the course, these notes represent my commitment to academic excellence and a desire to contribute to the success of others...
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