It was a long time ago when I started developing applications and algorithms (the first commercial project was started in 1990). These are mostly back-end, massive data processing, DSP, non-standard structure and behavior data servers development, OLAP, ETL, Reporting etc.
In the beginning of my career, I had an experience in the field of Data Science, Neural networks and Fuzzy Logic Algorithms.
But in the 90s my interest was predominately academic - I did not come across the commercial projects at all.
As a result, I did not go further than reading articles, books and working on my own density-based clustering algorithm development with complexity O(N^3), so everything was postponed for better times.
However everything has started changing recently: in my company at the pre-sale stage there have appeared the projects, where ML/DS (Machine Learning / Data Science) can be implemented.
And the object of my previous admiration, which had been almost forgotten, has revealed itself again.
Unfortunately, nowadays the desire has increased but there is not so much time as in my adolescence, if not to say that there is no time at all.
It occurred to me that in my case "learning with the teacher" is the only appropriate solution as I work as a head of MEAN-stack department, giving lectures of the "Algorithms and Data Structures" course at LITS at the same time and a few lectures in the scope of the "Introduction to Data Science" course.
And when it became clear (to be an ML student rather than to learn by myself), I did not doubt a second - I would study just only here (ML @ LITS), because I know my fellow teachers well and can fully trust them.
And many other things in my heart that I have not yet expressed in words ...
In the beginning of my career, I had an experience in the field of Data Science, Neural networks and Fuzzy Logic Algorithms.
But in the 90s my interest was predominately academic - I did not come across the commercial projects at all.
As a result, I did not go further than reading articles, books and working on my own density-based clustering algorithm development with complexity O(N^3), so everything was postponed for better times.
However everything has started changing recently: in my company at the pre-sale stage there have appeared the projects, where ML/DS (Machine Learning / Data Science) can be implemented.
And the object of my previous admiration, which had been almost forgotten, has revealed itself again.
Unfortunately, nowadays the desire has increased but there is not so much time as in my adolescence, if not to say that there is no time at all.
It occurred to me that in my case "learning with the teacher" is the only appropriate solution as I work as a head of MEAN-stack department, giving lectures of the "Algorithms and Data Structures" course at LITS at the same time and a few lectures in the scope of the "Introduction to Data Science" course.
And when it became clear (to be an ML student rather than to learn by myself), I did not doubt a second - I would study just only here (ML @ LITS), because I know my fellow teachers well and can fully trust them.
What I expect from the course:
- Tidy up what I knew
- Add modern methods and approaches
- Systematize all of this
- Feel the classes of problems that can be solved (terms, accuracy, how many people and which hardware are needed etc.) and which can not be
- To get acquainted with modern tools
And many other things in my heart that I have not yet expressed in words ...
