What is Machine Learning - Machine Learning (LMS) - Expert System

Machine learning focuses on the development of computer programs. This post deals with Types, Examples & significance of Machine learning. This articles outlines the value of Machine learning.

Machine Learning is the part of of Artificial Intelligence, can enable to learn from data or information.

An Introduction to Machine Learning - Expert System

Machine Learning is regarded as the scientific study of algorithm and statistical model, that is used by the computer systems to carry out a particular task, instead of using explicit intrusions rather depending on patterns and interface.

It is an application of artificial intelligence.

Machine learning algorithm develops a mathematical model based on sample data which is also known as training data/test data and this training data/test data is basically used to make a decision algorithm. It is not programmed to perform that task.

Machine Learning algorithms are used for a wide range of applications, which includes Email filtering, malware filtering, online customer support etc.

Learning Management System(LMS)

Learning Management System(LMS) is basically a software application that is used for the purpose of administration, documentation, tracking, reporting etc pertaining to an educational course or for that matter can be used in relation to a training or learning & development programs.

The concept of Learning Management System(LMS) emerged from e-learning. Although initially Learning Management System(LMS) was used for the higher education sector, but off late it is used mainly for the corporate market.

Learning Management System(LMS) is designed to figure out the training & learning gaps, utilize analytical data & also for the purpose of reporting. LMSs are meant for online delivery however, when it comes to supporting a  wide range of uses related to acting as a platform for online content, LMSs are regarded as highly productive tools.

Application of Machine Learning

Machine learning can be applied in three forms & they are for:

• Clustering
• Classification
• Recommendation

• Finance: Helps to decide who should be sent what kind of credit offers, calculation of risk factor on credit offers or for that matter how to figure out where to invest money etc.
• E-commerce: Guides in customer attribute or in finding out whether a transaction is fraudulent.
• Debugging: Used in identifying error debugging in computer science
• Information Extraction: Across web it pitches questions & extract relevant information.

The Machine Learning Technique

The machine has transformed the way business is being done. It has helped business houses remarkably. It assists to reduce equipment breakdowns and enhances profitability ratio.

Machine learning has powered businesses enabling them to reach new heights.

Basic types of Technique

• Data is as good as the user. Business & Technology leaders use Machine Learning experiment & try to predict the business needs of the future.
• Machine Learning is used to construct predictive models by referring to patterns from a large dataset, these are used for numerous applications pertaining to price, customer behavior & risk assessment, etc. 
• With the inflow of new data, the Machine Learning model ensures that the solution is updated on a constant basis. Machine Learning comes handy when it comes to predicting the future in the context of business needs.

Types of Machine Learning:

Supervised Learning

Under these types of Learning, there is a need for supervision by someone. Supervised learning is the technique of performing a task by giving training as well as input & output patterns to the system.

Unsupervised Learning 

Under this form of learning the training of the machine is done using information however, this information is neither classified nor labelled. No training is given to the Machine, but the machine is a mode of finding the hidden structure in  an unlabelled data & interprets it.

The machine basically categories groups based on similarities between two products or images.

Reinforcement Learning 

It is regarded as the most interesting kind of learning, no answer key is provided under this type of learning. The agent identifies what needs to be done in order to perform the given task & in the absence of training dataset, it has to take a call based entirely on its prior experience & expertise.

Machine learning examples are stated below:

1. Social media services.

2. Online Customer support.

3. Online fraud detection.

4. Virtual personal assistant.

5. Malware filtering.

Conclusion:

Machine Learning is here to stay & it will impact business, strategy making & perhaps our day to day life big time in times ahead. Machine Learning will guide us towards artificial intelligence. Every individual needs to know at least the basics of Machine Learning, as it will impact us sooner rather than later. Here in lies the greatest significance of Machine learning.