WebPhysics of Data master graduate, following a hybrid path between Complex Systems Physics and Machine Learning. The hands-on proposed approach provided the opportunity to develop projects in various Artificial Intelligence fields, such as Computer Vision, Machine and Deep Learning, Time Series Analysis and Forecasting, Natural Language Processing. … WebThis thesis mainly focuses on the state-of-the-art ensemble learning methods and deep learning models for both power system and financial market related time series forecasting. The de-velopment of time series forecasting is introduced, and a brief review of existing algorithms is also recorded.
GitHub - Gaulgeous/Energy-Forecasting: Thesis for time series ...
WebSchlumberger. kwi 2024–kwi 20241 rok 1 miesiąc. Cracow, Małopolskie, Poland. As a senior Data Scientist, I am designing the processes in the project and the way we work together, mentoring colleagues and doing technical demo of the job done. Also, I am responsible for end-to-end DS/ML solutions including: WebMaster Thesis . To obtain the master diploma . Branch: Informatique. Specialty: Information System and Web (SIW) Theme . Time Series Forecasting using Machine Learning and Deep Learning techniques . Presented by : Mr Khiati Khaled Walid Mr Hamorune Youcef Graduated in : /09/2024 . In front of the jury composed of : is anish giri nepali
Time Series Analysis and Forecasting Electricity Prices in Turkey
Web- Managed to deal with time series forecasting using deep learning.-Applied LSTMs (RNN) to time series data using Tensorflow. ... Looking for Master … WebThe views stated in this thesis are those of the author and not necessarily those of the supervisor, second assessor, Erasmus School of Economics or Erasmus University … WebAbout. My name is Ivan, I am 36 years old and I have been doing data science since 2009. Since 2014 I have been steadily leaning towards scientific research in machine learning and applied ... is anise hyssop poisonous