Data mining and technical analysis is a growing trend throughout many different fields. It is a relatively simple process at its heart. The use of numbers, statistics, and algorithms has led to much more than a simple new machine or computer program. In fact, the practice is supposed to change…

# Algorithms

Start learning machine learning algorithms used in R tutorials such as Apriori Algorithm, Artificial Neural Networks Algorithm, Decision Trees Algorithm, K Means Clustering Algorithm, K-nearest Neighbors Algorithm (KNN), Linear Regression Algorithm, Logistic Regression Algorithm, Naive Bayes Classifier Algorithm, Random Forests Algorithm, and Support Vector Machine Algorithm.

Machine learning algorithms can be incredibly complicated. They often take months of work and many pages of textbook reading in order to understand. These algorithms utilize statistical analysis to produce reams of output that can change substantially over time. However, not all machine learning algorithms are this complicated. Some are…

Algorithms used in the process of machine learning have a number of different functions. They are often used to map data, make sense of large quantities of data, and predict developments over time. There are few algorithms which can conceivably perform all three tasks. One of these is linear regression.…

The tools of data mining and machine learning algorithms are vast. Many different algorithms are used to sort information, predict information, and draw lines. They can make sense of millions of data points and create elaborate outputs in a fraction of a second. One of the most helpful examples of…

Algorithms have a wide variety of uses for both human beings and machines. These uses often revolve around the analysis and interpretation of large amounts of data. They are sometimes used for predictive models that tell what happens with a new set of data over a period of time. In…