2 . Computer Version Nature Language Processing Robotic/Automatic Biology
3 .
4 .Basic Concept Cross Validation Over Fitting Activation Function Supervised Learning UnSupervised Learning Batch Epoch Layer Train Set Test Set Feature Dimensionality Generalization Maxpooling L1 /L2 Benchmark Baseline
5 .Basic Concept
6 .Basic Concept
7 .Supervised/Unsupervised Learning
8 .Supervised Learning
9 .Supervised Learning
10 .Unsupervised Learning
11 .Basic Algorithm K NN K Means Naïve Bayes Decision Tree Gradient Boosting algorithms SVM Random Forest Linear Regression Logistic Regression Dimensionality Reduction Algorithms
12 .How do you choose a machine learning algorithm ?
13 .How do you choose a machine learning algorithm ?
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