You have heard many times how people talk about machine learning, but can hardly imagine what it is? Are you ashamed, because you can not keep up the conversation with colleagues? So, let’s fix this!
Nowadays technologies advance extremely rapidly having a great impact on our planet. As a result, Machine learning and Artificial Intelligence over the past few years have become an inevitable part of our life.
What machine learning is?
It is an extensive branch of artificial intelligence, which studies methods of constructing algorithms. Machine learning is the idea of the common algorithms existence that can tell us something interesting about the data set and there is no need to write a specific code for the problem. Instead of writing the code, you pass the data to a common algorithm, and it builds its own logic.
Algorithms of machine learning can perform tasks that previously seemed impossible to computers: the classification of objects by their characteristics, the prediction of certain events, even the creation of art works!
Now let’s start our entertaining journey into the future with Artificial Intelligence.
It’s really amazing how the power of Artificial Intelligence has grown recently. Not long ago robots couldn’t walk. Not long ago we didn’t have self-driving cars. Now we have rockets which are self-flying. Not long ago AI couldn’t recognize your face as well. Nowadays there are many various functions machine learning can do – they include text and speech recognition, online shopping or viewing various recommendations, credit card fraud detection and so much more. Robots and Artificial Intelligence already replace people from the service sector, drivers, and even those who are engaged in creativity.
Artificial Intelligence is a broad field in computer science that show machines as if they are as intelligent as people. AI is becoming a big thing these days. Very soon AI will become less artificial and much more intelligent.
Many Artificial Intelligence researchers expect that AI will excel people in many areas in the future, making the future real where we will not be limited by the capabilities of our brain.
Taking the enormous abilities of computers into account, artificial intelligence could be able to cope with a number of critical tasks, as well as solve complex issues of global order.
Because of the rapid development of computer technology, there was a need to make machines smart. But how does it work?
Machine learning uses models based on neural networks created using libraries such as Tensorflow, Torch or Caffe. 
Tensorflow is an open source software library for machine learning developed by Google to solve neural network construction and training tasks to find and classify images automatically, achieving the quality of human perception. It is used for research and development of Google’s own products. The main API for working with the library is implemented for Python, there are also implementations for C ++, Java, Go and Swift.
What is neural network?
This is the area of artificial intelligence, based on attempts to reproduce the human nervous system. More specifically, the ability of the nervous system to learn and correct mistakes. In other words, a neural network is a machine interpretation of the human brain, in which there are millions of neurons that in the form of electrical impulses can transmit information.
Machine Learning algorithms
They fall into one of two main categories – supervised learning and unsupervised learning. The difference between them is simple, but pretty important.
Supervised learning is the most common class of machine learning tasks. It includes those tasks where one must learn to predict a certain value for any object, having an ultimate number of examples. This can be predicting the level of traffic jams on the road, determining the age of the user depending on his actions on the Internet, predicting the price at which a used car will be bought.
Unsupervised learning is another area of machine learning. He studies a wide class of data processing tasks, in which only descriptions of a set of objects are known, and it is required to detect internal relationships, dependencies, patterns existing between objects.
Unsupervised learning is often contrasted with supervised learning, when a “right answer” is given for each learning object, and it is required to find the relationship between objects and answers.
Actually, there are some things that make Artificial Intelligence powerful today – the availability of data and the ability of machines to make sense of the data. And this data is available for us because we live in a consumer society and lead digitally mediated lives in mobile and online.
In total, Artificial Intelligence and Machine Learning is pretty complicated but rather meaningful topic. If you have any ideas you would like to have them implemented, we will help you realize them using advanced technologies!