Algorithms of Machine Learning

 


We are, in all likelihood, living in the most defining period of human history. The period when computing moved from large mainframes to PCs and then to the cloud. But what makes it more defining is what is coming in our way in the upcoming years.

What makes this period exciting and captivating for someone is the normalization of the various tools and techniques, which followed the boost in computing.

 

Widely, Machine Learning Algorithms are classified as:

1. Supervised Learning: Consists of a target / output variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables). Using these set of variables, we generate a function which map inputs to desired outputs. The training process continues until the model achieves a desired level of accuracy on the training data. Some of the examples of Supervised Learning are Regression, Decision Tree, Random Forest, KNN, Logistic Regression etc.

 

2. Unsupervised Learning: In this, we do not have any target or outcome variable for prediction or estimation. It is used for clustering the population in different groups, which is widely used for segmenting customers in different groups for specific intervention. Some of the examples of Unsupervised Learning are Apriori algorithm, K-means.

 

3. Reinforcement Learning: Using this, the machine is trained to make most specific decisions. It works in this way- the machine is revealed to an environment where it trains itself continuously using trials and errors. This machine learns from the past experiences and tries to capture the best possible knowledge to make the most accurate business decisions. Some of the examples of Reinforcement Learning are Markov Decision Process.

 

Programming has the utmost power to bring algorithms to everyone’s life. Out of the most programming languages, Java is the utmost powerful and tough programming language which empowers programmers to develop engaging website interfaces and applications. Emerging from the wide applications, Java's web development capability supports the creation of engaging, dynamic and responsive websites through servlets and JSPs.

Brillica Services provides the Best Project based Internship Training course on Machine Learning with Python Training in Delhi and Dehradun, Uttarakhand.

For more: https://www.brillicaservices.com/

 

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