There are a lot of interesting projects with machine learning. For example, organizations are increasingly collecting data about their products, customers and markets. If you are considering a project with machine learning, it is important to consider which problem you want to solve. What data is available for this and what is the quality of that data.
A big difference with business intelligence is that you can make predictions with machine learning. Where business intelligence mainly looks back in time. Making predictions possible is thus a crucial element in machine learning.
Machine Learning has a number of existence forms:
- Supervised Learning where the models are helped by people. For example, by marking images with things to see on them, new images can be compared to them
Unsupervised learning. The computer itself searches for connections in data. This way, data that has many similarities can be recognized. Clusters of data can also be recognized.
- Deep learning The most characteristic of deep learning is that the models are much more complex, so-called artificial neural networks. These are inspired by the human brain and can also process much larger data sets.
- Reinforcement Learning An implementation of machine learning in which the neural network is improved by rewarding success and punishing failure.
There is a long history behind the concept of machine learning. The first steps were taken in the 1950s. The foundation was laid by recognizing patterns in data using statistics. It took a long time to become really usable. On the one hand due to a lack of computer power, but also because methods, algorithms and neural networks had to be developed.
Artificial Intelligence, a look into the future
Many movies have been made with artificial intelligence and most of them threaten humankind and the world. Although this is quite possible if we are not careful when building a True AI, there are also positive scenarios. The biggest problems that humans grapple with such as health, happiness, knowledge and peace could be solved with the help of AI. From nanorobots controlled by a central brain to finding drugs against cancer, to advisers to the government to prevent crises or devise solutions that benefit batlling countries.
But machine learning can already be used to make wonderful applications today. By having computers use their diligence to find connections that humans never thought of. This can help analyze problems, predict financial results, and identify opportunities and threats. Read more