Machine Learning

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Machine Learning da Mind Map: Machine Learning

1. Define

1.1. Arthur Samuel (1959)

1.1.1. Machine learning is a field of study that gives a computer the ability to learn without being explicitly programmed

1.2. Tom Mitchell

1.2.1. Machine Learning is a computer program that is said to learn from E experience from T tasks and with the measure of P. performance. If its performance is applied on T task and is measured by increasing measure P from experience E

2. The objects that Machine learning has been aimed at

2.1. Agriculture

2.2. Anatomy

2.3. Economics

2.4. Marketing

2.5. Machine learning control

2.6. Telecommunication

2.7. ........

3. Cassify

3.1. Supervised learning

3.1.1. Supervised learning is the Data mining task of inferring a function from labeled training data

3.2. Unsupervised learning

3.2.1. Unsupervised learning is a type of machine learning algorithm used to draw inferences from datasets consisting of input data without labeled responses

3.3. Reinforcement learning

3.3.1. Reinforcement learning (RL) is an area of machine learning concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward

4. Machine learning application

4.1. Virtual Personal Assistants

4.2. Predictions while Commuting

4.3. Muốn biết người dùng nói gì về bạn trên Twitter

4.4. Các hệ thống nhận diện

4.5. ........