Прогнозирование для Сельского Хозяйства (с нейросетями)
Эта лаборатораторная работа посвящена изучению прогнозирования на основе методов анализа больших данных на примере продаж пестицидов. В процессе выполнения вы научитесь делать прогнозы на основе линейной регрессии и двух фреймворков для построения нейронных сетей, а также сможете получать статистистические данные и сравнивать результаты.
Language
- Russian
Topic
- Artificial Intelligence
Industries
- Agriculture, Сельское Хозяйство
Skills You Will Learn
- Machine Learning, Data Science, Artificial Intelligence
Offered By
- IBM
Estimated Effort
- 1 hour
Platform
- SkillsNetwork
Last Update
- October 24, 2024
Language
- Russian
Topic
- Artificial Intelligence
Industries
- Agriculture, Сельское Хозяйство
Skills You Will Learn
- Machine Learning, Data Science, Artificial Intelligence
Offered By
- IBM
Estimated Effort
- 1 hour
Platform
- SkillsNetwork
Last Update
- October 24, 2024
Instructors
Yaroslav Vyklyuk
Full Professor, Doctor of Computer Science, PhD
Dr. Yaroslav Vyklyuk is a full professor at the Lviv Polytechnic National University, Department of Artificial Intelligence Systems. He is an author of over 210 scientific works, 10 monographs, and books, a member of the Editorial Board of 6 international scientific journals, member of the Academic Councils on protection Ph.D. and DrSc thesis in "Mathematical modeling and computational methods". Research Interests: Data Science, Applied System Analysis, Mathematical Modeling, and Decision Making of Complex Dynamic Systems (socio-economic, geographical, tourist, and crisis systems) using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, Econometrics, Econophysics and other Advanced Mathematical Methods with implementation into information, WEB, and geographic information systems.
Read moreKateryna Hazdiuk
PhD of Software Engineering
I am an assistant professor at the Yuriy Fedcovych Chernivtsi National University, Software of Computer Systems Department; an author of over 40 scientific works and 10 training manuals. Research Interests: Mathematical Modeling of Complex Dynamic Systems (bio-like systems, socio-economic, geographical systems), Data Science, Decision Making using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, and other methods.
Read more