wikis.json

[
	{
		"category": "machine",
		"name": "Intro to Machine Learning"
	},
	{
		"category": "machine",
		"name": "k-means"
	},
	{
		"category": "machine",
		"name": "KNN"
	},
	{
		"category": "machine",
		"name": "Linear Regression"
	},
	{
		"category": "machine",
		"name": "Logistic Regression"
	},
	{
		"category": "deep",
		"name": "LSTM"
	},
	{
		"category": "machine",
		"name": "Naive Bayes"
	},
	{
		"category": "math",
		"name": "Optimization and Training for parametric classifiers"
	},
	{
		"category": "machine",
		"name": "PCA"
	},
	{
		"category": "deep",
		"name": "Recurrent Neural Network"
	},
	{
		"category": "reinforcement",
		"name": "Adversarial Search"
	},
	{
		"category": "reinforcement",
		"name": "Classic Search"
	},
	{
		"category": "reinforcement",
		"name": "Heuristic Search"
	},
	{
		"category": "math",
		"name": "Probability Distributions and Properties"
	},
	{
		"category": "machine",
		"name": "Perceptron"
	},
	{
		"category": "math",
		"name": "Introduction to Probability"
	},
	{
		"category": "math",
		"name": "Hypothesis Testing"
	},
	{
		"category": "math",
		"name": "Bayesian Statistics"
	},
	{
		"category": "deep",
		"name": "Bayes Net"
	},
	{
		"category": "deep",
		"name": "Kernel SVM"
	}
]