Morten Hjorth-Jensen
309 lines
9.6 KiB
HTML
309 lines
9.6 KiB
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<h1 class="site-logo" id="site-title">Applied Data Analysis and Machine Learning</h1>
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Applied Data Analysis and Machine Learning, FYS-STK3155/4155 at the University of Oslo, Norway
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About the course
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Teachers and Grading
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Review of Statistics with Resampling Techniques and Linear Algebra
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1. Elements of Probability Theory and Statistical Data Analysis
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2. Linear Algebra, Handling of Arrays and more Python Features
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From Regression to Support Vector Machines
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3. Linear Regression
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4. Ridge and Lasso Regression
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</a>
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5. Resampling Methods
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6. Logistic Regression
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7. Support Vector Machines, overarching aims
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Decision Trees, Ensemble Methods and Boosting
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8. Decision trees, overarching aims
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9. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods
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Dimensionality Reduction
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10. Basic ideas of the Principal Component Analysis (PCA)
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11. Clustering Analysis
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Deep Learning Methods
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12. Neural networks
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13. Building a Feed Forward Neural Network
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By Morten Hjorth-Jensen<br/>
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© Copyright 2021.<br/>
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