If you are a tech enthusiast and like to keep in touch with latest developments of AI, you must have heard of machine learning. According to the recent research, ML algorithm has been used to determine patterns in the ocean with similar physics. The study shows that with ML it is now possible to “identify links between world’s oceans”. You must be wondering if machine learning could make such a concept like these possible, it might do more such wondrous things in future. So here’s an insight into machine learning!
Machine Learning, As Part of Artificial Intelligence
Machine learning is a form of artificial intelligence. It is created in such a way that it can enable traditional computers do tasks without any human intervention. This means that a computer updated with machine learning will recognize, learn and analyze from past data and past results to make right predictions or take better decisions in the future.
Machine learning’s ability to self-identify and analyze new patterns comes from its powerful yet complex ‘pattern recognition’ algorithm. It tells them where and how to look for the intended result.
Now, if you are willing to do machine learning courses in Kolkata, here’s a basic guide for you.
How it Works with Big Data Analytics?
Like humans machines also learn through training, analyzing and experiences. They learn from the data given to them and then with big data analytics study those data based on their training. But in some cases, they can’t differentiate between what is wrong and what is right. So they make decisions based on their experiences.
Ways of Machine Learning
- Supervised learning
True to its name, this sort of machine learning is performed under the supervision of a teacher. It includes a few basic steps.
- At first, the computer or system is trained with the labeled data that is predefined for the machine.
- Next, right information is given to the computer, which helps it to understand what it should and shouldn’t do.
- Finally, a new collection of unlabelled data is fed into the computer, which it analyzes using methods like classification and determination to predict the correct answer for the unlabelled data.
For instance, when you give children various shapes, you first teach them which shape is what, such as triangle, rectangle, etc. Then you tell them to sort each shape based on their understanding. Machine learning is quite similar to this. A machine provided with some unknown data and then it analyzes them based on their previous training about labeled and unlabelled data and makes the accurate prediction.
In this high level machine learning, there’s no previously set data or knowledge, training or supervision of a teacher available. In this case, the computer based on its experiences provides the output.
For instance, a child, when given a bunch of apples and oranges, would group them involuntarily as per their color or shape. Similarly, a computer working without supervision would follow the same instance and produce results based on algorithms. This happens when you shop online and find similar items for purchase.
As the name suggests, it involves a fusion of both supervised and unsupervised learning. In this case, the machine is given both labeled and unlabelled data.
For instance, in a file of numerous pictures, the computer groups those that have the most number of general features (unsupervised) and already provided names of people in the photographs (supervised).
In this sort of deep learning, the machine is given no data. It offers results based on its own experience from the ongoing situation only.
For instance, in a video game that requires finding hidden treasure, the use of algorithm detects the best result with the help of trial and error procedure. Here the algorithm shifts itself to direct the user to the best result.
Future of machine learning
Machine learning has a greater scope in the future for programmers and learners. Though some are pointing out our dependence on ML in everyday life, it surely makes a huge contribution in transforming the world the way we used to see it. Its benefits in healthcare, automotive and finance industries as well as in various fields of work like voice recognition and image processing are nothing short of magical wonders. With effective yet secure and controllable machines, ML is sure to bring more changes in health, education and business sectors to make the world a better and safer place to live in.