Trend 4.0 (The 4th Industrial Revolution) is taking place strongly, along with it are a series of scientific terms and applications being born. You can immediately remember artificial intelligence (AI – Artificial Intelligence) Because it is a familiar term, but do you know about Machine Learning (Machine learning): An important factor that determines the development of artificial intelligence in particular and the 4.0 era in general. So what is Machine Learning? Let's find out.
What is machine learning?
Machine Learning (Machine learning) is a term belonging to Artificial Intelligence (AI), it is a small part of the field of computer science. Machine Learning refers to algorithms and statistical models that computers can use to perform a specific task without the need for instructions or computer commands, instead it uses based on previously stored and analyzed patterns. In other words, it has the ability to learn data without the need for specific programming commands.
The Evolution of Machine Learning.
Machine Learning appeared a long time ago in 1957, originating from the idea of Frank Rosenlatt with the first machine learning algorithm called Perceptron capable of classifying two different concepts. But it was not until recent years, when computer technology increasingly developed, especially the development of the Internet platform, that the increase in information data became increasingly huge, or we also call it with the term Big data (Big Data), at this time the importance of Machine Learning is even more evident when data is something that every business wants to own as much as possible, but the ability to understand - analyze - apply data in social activities is the key to excellence - This key is called Machine Learning.
You can also see: Wifi CRM exploits customer information and analyzes behavior using Machine Learning.
Why Machine Learning?
Mining – analyzing – and using big data requires an effective reading and understanding platform. Machine Learning does this and uses data effectively with technologies integrated with Artificial Intelligence.
Machine learning has an inseparable relationship with statistics, machine learning uses statistical models to store the distribution of data. But that is not enough, it also has the ability to generalize all knowledge to give probabilities and predict the possibility of events by analyzing based on experience. Without the ability to analyze and predict problems, Machine Learning will just be programming, just like a child who learns by rote can only answer the answers that he has memorized before.
Machine learning methods.
- Supervised Learning: The most popular group of algorithms in Machine Learning. This is an algorithm that predicts the output of a new data based on pre-defined Input/Outcome pairs.
- Unsupervised learning: Based on the structure of the data to perform tasks such as grouping and reducing the dimensionality of the data.
- Semi-Supervised Learning: Learning on labeled and unlabeled data.
- Reinforcement Learning: Reinforcement learning – learning based on reaction chains, determining behavior based on circumstances to achieve the highest benefit.
Compare Machine learning vs Deep learning
These are two terms that often cause confusion, let's see how Deep Learning and Machine Learning are different!
Deep Learning is a part of Machine Learning (as shown above). It is a part of Deep Learning in Machine Learning, based on the use of complex neural networks. Deep Learning uses this artificial neural network to analyze data, make predictions and represent situations based on analysis and "experience" from learned patterns, which is similar to the way humans perceive things and phenomena that they have experienced. Deep Learning is essentially a branch of artificial intelligence to create a way of working similar to the human brain and thinking.
The birth and development of Deep Learning is a big step forward for Machine Learning in particular and artificial intelligence in general. You can understand it as "the pinnacle" of Machine Learning, is the fastest way to make Robots smarter with human thinking.
