哥伦比亚大学《应用机器学习》课程(2020)

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2020-02-05 06:45:52
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【哥伦比亚大学应用机器学习课程2020】《COMS W4995 Applied Machine Learning Spring 2020》by Andreas C. Müller Home:https://www.cs.columbia.edu/~amueller/comsw4995s20/ Youtube:https://www.youtube.com/playlist?list=PL_pVmAaAnxIRnSw6wiCpSvshFyCREZmlM
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Channel Intro
01:28
Introduction
01:16:02
Visualization and matplotlib
01:07:31
Supervised learning and model validation
01:12:00
Preprocessing
01:07:41
Linear Models for Regression
01:06:55
Linear Models for Classification
01:07:51
Decision Trees and Random Forests
01:07:58
Gradient Boosting
01:02:13
Model Evaluation and Metrics
01:18:23
Calibration, Imbalanced data
01:16:14
Model Inspection and Feature Selection
01:15:16
AutoML (plus some feature selection)
01:25:39
Dimensionality reduction
01:30:34
Clustering and Mixture Models
01:26:33
Working with Text Data
01:27:09
Topic models for text data
01:18:35
Word vectors and document embeddings
01:03:05
Neural Networks
01:19:37
Keras and Convolutional neural nets
01:16:02
Advanced neural networks
01:36:29
Time Series and Forecasting
01:12:37
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