Machine Learning เทคโนโลยีประโยชน์ครอบจักรวาล

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Machine Learning: A world-changing technology

We are now living in an era where advanced innovations and technology no longer surprise us as these advancements have been used or seen daily. We, as consumers, may have formed what seems to be unexplainable questions in our head; how Netflix knows what kind of movies we like; how YouTube recommends videos that we like; or even famous E-commerce platform – Shopee – presents products that match our preferences. All of these are examples of the potential of machine learning.

In this article, the technological bothering questions will be answered through the definition of Machine Learning – what it is, how it works, and what kind of benefits we have received.

• What is machine learning?

Basically, machine learning or ML apps learn from experience like humans do without direct programming. These apps automatically learn, grow, alter, and expand on their own when approached with new data. In other words, machine learning includes computers discovering valuable knowledge on their own.

Any business or industry that can adapt this technology in the right directions will gain a very competitive advantage. This technology can reduce working time due to its short analysis time; costs are also saved thanks to this innovation quite a lot.

• Machine Learning, AI, and Automation

Some might be wondering “Aren’t these three things the same thing?” To clarify, Let’s look at its definition one by one.

• What is AI?

The word “AI” stands for Artificial Intelligence that functions to learn, understand, think, analyze, plan, help make decisions, and, most importantly, predicting outcomes based on experience. A ubiquitous example for a bigger picture is virtual assistants like Siri or Alexa that help answer questions and respond as if they were real people. As intelligent as we see it, the background of AI is from machine learning. Basically, machine Learning is a chess piece that leads to AI being able to learn.

• So, what is Automation?

Automation is a system that has already been programmed to control the work, giving orders, and stipulating orders. Automation cannot think or analyze when it comes to unfamiliar and new data as AI does, plus it also requires human supervision to function. In short, automation is suitable for any easy tasks such as making an automatic answering phone system or automatic watering system.

• How Machine Learning works?

Machine learning shares the same perceiving process with human beings when it comes to learning new experiences or lessons. Just imagine how we teach children to identify pencil and pen. In the very first step, we need to tell them what pencil and pen look like, so that they can learn and distinguish between two identical things.

Machine learning works the same way by entering data sets and training to allow computers to “learn” and spot different objects, people, things, etc. For more accurate results, programmers must enter new data sets and test run the system regularly.

• Machine Learning and Its All 3 Functions

There are basically three types of machine learning based on their learning styles: supervised learning, unsupervised learning, and reinforcement learning.

1. Supervised Learning

Independently, computer can seek for solutions in each problem after some time it is given the set of data.  When we input data to the computer – for example, the image of a pen – initially the computer still does not know that the image we input is the image of a pen. Programmers are required to train the computer to recognize such a picture for analysis (Feature Extraction) that the pen has a push button on its end and use of ink to write. Then the computer takes the information to process or categorize (Classification) so that it can distinguish what is a pen and what is not a pen afterwards.

2. Unsupervised Learning

It is basically opposite from the first learning style. It allows machines to learn on their own without setting a target for each data. The method entails humans inputting the data and determining what is needed from it. This allows the machine to analyze by classifying and constructing patterns from the data obtained. For instance, it is where we input the data – the image of a pen, but we do not hint that the input image is a pen. When the computer starts its analysis (Feature Extraction), it can identify what the inserted image looks like. However, it cannot be processed or categorized (Classification), instead it will use the method of grouping (Clustering). What’s more complicated in this step is that the computer may consider a pen as a highlighter or any other stationery with a push button at the end and use of ink for writing as well.

3. Reinforcement Learning

It is a learning method depicted from Interaction between Agent and the Environment. This type of learning relies on the Agent under the choice of doing things to get the most results through trial and error. This later develops the decision-making system to be better or easier to say. The developer may set a feedback loop goal and reward conditions, for example, Alpha Go uses a computer program that plays the board game Go. It will now learn the opponent moves and predict the possibility that leads to victory.

• Uses and Benefits of Machine Learning

In practice, machine learning can be used for many purposes. It depends purely on the imagination of the programmer, for example, Google has developed Google Map to offer convenience and facilitate the traffic for us – help find the route that saves the most commute time. Google Translation is another product developed by using Automation and Machine Learning to help in learning language. Even a popular chat program like LINE that can turn speech into text in a few seconds, and many more that machine learning technology plays a role in making our lives easier.

As mentioned above, machine learning is very useful and can put many industries on track. However, a group of cybercriminals tends to seek for vulnerabilities and exploit this technological advancement for their own benefit, mainly to develop more complicated malware. However, machine learning technology can be used to detect malware and predict the attacks of cybercriminals.

Cyber Elite Company Limited is ready to provide advice and assistance in dealing with cyber threats of various organizations to keep your organization safe from threats that will happen to your organization.

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