Getting Started with Machine Learning

1. What is machine learning?

Machine learning is that data is used to build a model through an algorithm and evaluate the model. If the performance of the evaluation meets the requirements, use the model to test other data. If it does not meet the requirements, adjust the algorithm to rebuild the model and evaluate it again, and so on. Back and forth, and finally get a satisfactory experience to process other data

2. Machine learning classification

1) Supervised learning

2) Unsupervised learning

3) Semi-supervised learning

4) Reinforcement learning

3. Machine Learning Algorithms

1) Regression algorithm

A class of algorithms that try to use the measure of error to explore the relationship between variables. Regression algorithm is a powerful tool for statistical machine learning. Common regression algorithms include: least squares (Ordinary Least Square), logistic regression (Logistic Regression), stepwise Stepwise Regression, Multivariate Adaptive Regression Splines, and Local Scatter Smoothing Estimation

2) Instance-Based Algorithms

Often used to model decision-making problems, a batch of sample data is preferentially selected, and then new data is compared with the sample data according to some approximation to find the best match, also known as "memory-based". Learning", common algorithms include "k-Nearest Neighbor", Learning Vector Quantization (LVQ) and Self-Organizing Map (Self-Organizing Map)

3) Regularization method

4) Decision tree learning

According to the attributes of the data, a tree-like structure is used to establish a decision model, which is often used to solve classification and regression problems, including classification and regression trees, ID3, C4.5, random forest, etc.

5) Bayesian Learning

Used to solve classification and regression problems, common algorithms include naive Bayesian algorithm, average single-dependency estimation, etc.

6) Kernel-based algorithms

7) Clustering algorithm

8) Association rule learning

9) Artificial Neural Network Algorithm

10) Deep Learning Algorithms

11) Reduced latitude algorithm

12) Integrated Algorithms

Guess you like

Origin http://10.200.1.11:23101/article/api/json?id=326980833&siteId=291194637
Recommended