Machine Learning

Supervised and unsupervised learning algorithms. Classification, regression, clustering, dimensionality reduction. Neural networks introduction. Model evaluation and selection.

监督与无监督学习算法。分类、回归、聚类、降维。神经网络入门。模型评估与选择。

• 1Implement and evaluate supervised learning algorithms
• 2Apply unsupervised learning techniques for data exploration
• 3Design and train neural network models
• 4Critically evaluate and compare machine learning approaches