Time Series Analysis and Forecasting using Python
LEVEL : INTERMEDIATE HRDF : CLAIMABLE
TRAINER : ASSOCIATE PROF DR. IBRAHIMA FAYE
WHEN
2 - 4 NOVEMBER 2021
WHERE
MS TEAMS
TIME
9.00AM - 1.00PM
RM 1,380 FOR PROFESSIONAL
10% Discount for Early (until 6 August 2021) Bird / Group / Students
CONTENT SUMMARY
INTRODUCTION
Time Series appear in various fields and their analyses play an important role in many applications. Over the last few years, many researchers have shifted from traditional techniques (i.e. autoregressive models) to deep learning techniques due to their promising applications. The course will start with an overview of traditional techniques. It will then introduce the basic principles of recurrent neural networks (RNN, LSTM) and convolutional neural networks (CNN) that are used in times series forecasting. Examples of deep learning applications from various fields will be presented. To conclude some challenges and directions will be highlighted.
- Overview of traditional techniques for time series analysis.
- Basic principles of deep neural and convolutional neural networks (CNN).
- Principles of recurrent neural networks.
- Hands-on with examples from different fileds.
WHO SHOULD ATTEND?
- Anyone interested in time series analysis.
- Engineers, Researchers and graduate students.
OBJECTIVES
Upon completion of this course, participants will be able to:
- Understand the basics of time series analysis.
- Understand deep learning techniques for time series analysis.
- Apply classical and Deep learning techniques for time series analysis and forecasting.
1. Associate Professor Dr Ibrahima Faye (UTP)
Dr Ibrahima current position as Associate Professor at the Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS (UTP). Dr Ibrahima Faye is a researcher at the Centre for Intelligent Signal and Imaging Research (CISIR), a national centre of excellence. He received a BSc, MSc and PhD in Mathematics from University of Toulouse and a MS in Engineering of Medical and Biotechnological Data from Ecole Centrale Paris. His research interests include Machine learning, Mathematics, Signal and Image Processing, Science of Learning. He has published over 150 papers in peer reviewed journals and international conferences and holds 2 patents in Image Processing. He is a senior member of the IEEE and currently the vice-chair of IEEE Computational Intelligence Society (CIS), Malaysia.
REGISTRATION FEES
Professional
myr1,380
*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)
Early bird/ group/ student
myr1,242
*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)
OUR LOCATION
Centre for Advanced & Professional Education (CAPE)
Level 16, Menara 2,
Menara Kembar Bank Rakyat,
50470, Jalan Travers,
Kuala Lumpur.
CALL US
+605 - 368 7558
DROP US AN EMAIL
cape@utp.edu.my