考试时间:2018.12.27 7:00 PM-9:00 PM
考试地点:A1-302 A1-304
第一章 Basic Concept
机器学习基础(3)
Linear Regression and Gradient Descent (3)
线性回归与梯度下降
Linear Classification and Stochastic Gradient Descent (3)
线性分类、支持向量机、随机梯度算法
Logistic Regression and Ensemble Methods (Decision Tree Adaboost) (3)
逻辑回归与集成学习算法
Overfitting, Underfitting and Cross-Validation
过拟合、欠拟合与交叉验证
Scientific Reading and Writing(3)
科技文阅读与写作
Multiclass Classification and Softmax (3)
多类分类
Clustering and Dimension Reduction (PCA, SVD, feature selection) (5)
聚类算法与维度约简
Recommendation Systems (3)
推荐系统
Image Processing Basics
图像处理基础
Neural Networks and Deep Learning(Advanced topic) (3)
神经网络与深度学习