Machine Learning Vocabulary

A few years ago, I was studying Machine Learning in school. In that time, I feel that playing Machine Learning is the best thing in the world, but what s the most unacceptable is that when it s applied to reality, it s much more complicated than I could think.

There are some contents for beginners:

Supervised Learning 监督学习

Unsupervised Learning 无监督学习

Reinforcement Learning 强化学习

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Top 10 machine learning algorithms? 10大机器学习算法

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Decision tree?? 决策树 判定树

K-Means Clustering K –均值聚类

K-Nearest Neighbor Algorithm/KNN??????? K近邻算法

Support Vector Machine/SVM????????? 支持向量机

Naive Bayes Classifier?????? 朴素贝叶斯分类器

Gradient Boost 和 Adaboost 算法

Random Forest Algorithm??????? 随机森林算法

Neural Network?????? 神经网络

Markov Chains马尔可夫链

Logistic Regression逻辑回归

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数据集Data Set

训练集 train set?

验证集validation set

测试集 test set

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Training Models 训练模型

Loss Function损失函数

Optimization Algorithms 优化算法

Gradient Descent Method 梯度下降法

Newtonian method 牛顿法

Momentum动量

Nesterov Momentum

Adagrad? Adaptive Gradient

Adam?? Adaptive Moment Estimation

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Estimate model 评估模型

Accuracy 准确率

Precision 精确率

Recall 召回率

True Positive Rate 真阳性率

Mean Square Error (MSE, RMSE)???????? 平均方差

Absolute Error (MAE, RAE)? 绝对误差

The above is just the basic content about machine learning.

Stay hungry, Stay foolish !

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