Machine Learning course

12.09.2024


Hello everyone!

In recent years, solving work in many fields by automation or programming has become more popular. As you may have noticed, we are talking about artificial intelligence. In developed countries, including world countries, the development of this sector is followed by fundamental changes in education, science, medicine, economics and finance, military sphere, water and agriculture, ecology and other fields. In our country, the bot bots are being encouraged that mastering and practicing these and similar areas is one of the shortest ways to progress.

Moreover, in today's era, when the volume of information is increasing day by day, it is important to analyze such data, to notice the most important aspects in them, in other words, to understand the data more deeply.

In this regard, an online course on "Machine Learning," a field of artificial intelligence, is being organized. Due to its connection to higher mathematics and statistics, there is a need in our country to prepare materials in the Uzbek language that encompass all three disciplines. The preparation of such a material has already begun and is nearing completion.

Our online course on "Machine Learning" will start on September 18 and will be held every Wednesday at 14:00. There are no strict requirements for participants in the course, but their knowledge of mathematics and statistics will help them quickly and efficiently master the course.

If, too, you are interested in studying coding, linking Matrix and other mathematical knowledge to real-life data and performing various actions on them, mastering the necessary knowledge and concepts of statistical science, learning methods for solving statistical formulas using coding, initial processing of any data set, eliminating them when they are deficient, as well as making various modifications, putting them in, you can participate in this course if you want to learn what issues they can be used to solve using the example of data from many fields, including agriculture, water management, ecology and the like.

Materials and other information on the course will be provided on the Telegram channel https://t.me/Fundamentals_of_Python.