In the past few years, we have witnessed some great changes in computer programming languages, the biggest being elimination of the complex programming syntax.
Machine learning is the most promising leap towards technological ability, having the potential to affect every person in every business field in the future.
Here are a few things you need to know about this technology:
What is Machine learning?
Machine learning is a system that provides the ability to automatically learn and improve from experience without being programmed. Its main focus is on the development of computer programs that have the ability to access data and then use it to learn for themselves.
Machine learning is an advanced application of statistics that combine data with statistical tools (identifies patterns in data) to make predictions from those patterns. In short, data is the essence of machine learning.
What are the types of Machine learning?
Supervised Machine Learning
It’s the most common type of machine learning. Here, the machine learns from data labeled by humans. In order to learn the relationship of given inputs to a given output, the algorithm here makes use of the training data and feedback from humans.
Supervised learning can be used to solve two types of problems: regression and classification.
Unsupervised Machine Learning
In Unsupervised Machine learning, the machine tries to learn “on its own”, without any human intervention.
Here, the machine learns from unlabeled data, that is, there is no “fixed” answer given to the machine to learn. As a result, the machine finds a pattern from the existing data in order to come up with an answer.
Why is Machine learning trending?
Machine learning is considered to be the best tool that enables identifying, understanding and analyzing a pattern in the data. It is with the help of machine learning that computers can now automate tasks that would have been exhaustive or impossible for a human being.
Computers are now able to “see” images and categorize them. They are also able to understand and read the context, listen to us, and respond accordingly.
Apart from this, machine learning algorithms have broad implications for all kinds of data entry tasks especially in the areas that require a lot of data. It is already being used to write basic news articles such as in financial reporting and sports. These new technologies have made many jobs easier for people. Answering our emails, interpreting medical images, analyzing our data, etc, are some of the tasks that have become easier with the help of these algorithms.
Where and How Machine learning is being used?
Let’s have a quick look at the applications of machine learning:
Machine learning in Marketing
Marketing departments rely on machine learning to optimize customer relationship and marketing campaigns.
Machine learning in the Healthcare industry
In Healthcare, machine learning is being used for predicting patient diagnostics for doctors with the help of image detection.
Machine learning in the Finance Industry
In banks, Machine learning is not only used to find patterns inside the data but also to predict fraudulent activity on a credit card and helps in preventing it.
Automation:
Machine learning works entirely autonomously in any field without the need for any human intervention.
Natural language processing
With natural language, machine learning algorithms can provide substantial help to customer service agents by quickly routing the customers to the information they need.
Augmentation:
Machine learning assists humans with their day-to-day tasks, personally or commercially. It is used in different ways such as Virtual Assistant (For example, Siri, Alexa, Google Now), Data analysis, and software solutions.
What does the future hold in store for Machine learning?
There are practically limitless possibilities when it comes to what the future holds in store for Machine learning. Some of the possibilities include:
In short, Machine Learning is a very powerful tool. In the future years, this technology promises to help solve most of our problems, at the same time, open up whole new worlds of opportunity.
There’s more to machine learning than explained in this list. Hopefully, this serves as a useful introduction for all non-experts out there.
