No machine learning can not work none of the neural network.
A few years ago neural networks were something outlandish. Now this tool is mastering more and more people. And this industry is evolving at an incredible pace: recently, the neural network learned to draw pictures and give the world masterpieces (and even able to write a play!). But for any neural network the desired data — without this benefit will not be more than a simple computer algorithm.
When you use the services, which are based on neural networks, need to understand that every "fed" them with megabytes of data is used to further train the neural network. How was she trained? Help that experts in the field of Data Science: they are machine-and deep learning neural networks with the use of mathematics and statistics, develop and use various models of Machine Learning.
The Power of deep learning stems from a superior ability to recognize patterns (patterns, templates, charts, patterns) in the data. We'll feed the neural network of tens of thousands of labeled photos of animals and she finds out, for example, what are the patterns associated with the Panda, and some with the monkey. Then she will be able to use these patterns to recognize new images of animals, which she had not previously seen.
Google neural Network is capable of turning 2D images into three-dimensional objects
To the neural network was trained, there should be mandatory presence of feedback: in the same way children need to constantly talk about what is good and what is bad. After the neural network was trained using a sufficient number of examples, it reaches the stage where you can provide her a brand new set of input data, which she had never seen, and watch for her reaction. But for the proper preparation of the dataset need to know what the experts Data Science. No wonder the number of such vacancies in companies over the last few years has increased 20 times, and wages in this segment will start from 130 000 rubles per month.
Contrary to popular misconception, to learn this profession, everyone can. The Network is , which do not only teach programming in Python and teach data analysis, but also talk about machine learning, trained mathematics and statistics. Such a course is, for example, school data SkillFactory: taught by industry professionals, including employees of Yandex, and NVIDIA. They — already the world-class experts and learning from them, you can not only learn about the industry in General, but also to note the subtleties, which you will not tell any one textbook.
the course runs for 12 months
This is not just another course "become a professional in a month" — the program is for one year and allows you to study online from anywhere in the world. The training is a lecture of the teacher showing their actions on the computer screen. Students ask questions, discuss stuff in the chat, get homework. After the assignments, they submit them for review. If the student for some reason missed the lesson, he does not need to go to the Dean's office for admission — each lesson can be found in the notes.
the Course will be useful not only for beginners but also for those who are already working with data
By the end of the training, you will be able to demonstrate to employers your own Git repository with solved cases, and possess all the necessary skills, libraries, technologies to start a career in Data Science. The program was launched on November 13, but .
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