Ten algorithms for Machine learning (i)

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According to a recent study, machine learning algorithms will replace 25% of global job opportunities over the next 10 years. With the rapid growth of big data and the availability of programming tools such as Python and r-machine learning, it is becoming a mainstream presence for data scientists. Machine learning applications are highly automated and self-modifying over time, with minimal human intervention as they learn more data.

For example, the Netflix recommendation algorithm is based on the programs that each audience watches, more about the audience's likes and dislikes. In order to solve the complex nature of various real-world data problems, a special machine learning algorithm has been developed to solve these problems perfectly. For beginners who are trying to understand the basics of machine learning, here is a brief discussion of the top machine learning algorithms used by data scientists.

1. Machine Learning Algorithm Classification

(1) Monitoring machine learning algorithms

A machine learning algorithm that predicts a given set of samples. The supervised machine learning algorithm searches the pattern within the value label assigned to the data point.

(2) Unsupervised machine learning algorithms

There is no label associated with the data point. These machine learning algorithms organize the data into a set of clusters to describe its structure and make complex data appear simple and organized analysis.

(3) Reinforcement machine learning algorithm

These algorithms select an action, based on each data point, and then understand how good the decision is. Over time, the algorithm changes its strategy to better learn and achieve the best return.

2. List of common machine learning algorithms

(1) Naive Bayesian classifier algorithm

(2) K-mean-value clustering algorithm

(3) Support vector machine algorithm

(4) Apriori algorithm

(5) Linear regression

(6) Logistic regression

(7 Artificial Neural network

(8 random Forest

(9) Decision tree

(10) Nearest neighbor algorithm

Ten algorithms for Machine learning (i)