International Workshop on Machine Learning and Data Analytics
The goal of this event is to bring early career researchers in data science and machine learning together for an informative workshop and training to the students in Australia and India.
Objectives of the Programme:
1. To give a basic understanding of Machine learning methods and programming.D
2. To show the applications of Machine Learning in different fields.
3. To give hands-on training in Python programming.
4. To show career prospects and opportunities in Machine Learning and Data Science.
Date and Time
Location
Hosts
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Organizing Chair: Dr. Chirantan Bhagawati
- Co-sponsored by Department of Geology and IQAC, Gargaon College, Dibrugarh University
Speakers
Part I: Data Analytics
1. Introduction to Data Analytics & Machine Learning: 13th March
Speaker: Dr Nandakishor Desai, Postdoctoral Researcher, University of Melbourne
2. Fundamentals of Data Handling: 13th March
Speaker: Mr Sina Mansour L, Graduate Researcher, University of Melbourne
3. Data Pre-processing and Visualization: 14th March
Speaker: Dr Sanjay Patil, Academic Researcher, University of Melbourne
4. Data Processing and Exploration: 14th March
Speaker: Dr Sadegh Motallebi, Data Scientist, ANZ Melbourne
Coordinator: Miss Noor E Karishma Shaik, Graduate Researcher, University of Melbourne
Part II: Machine Learning
1. Concept Learning and Bayes Learning: 19th March
Speaker: Mr Phani Kumar Malladi, Graduate Researcher, Indian Institute of Technology Kharagpur
2. Decision Tree Learning: 19th March
Speakers:
Dr. Pavan Harika Raavi, Academic Researcher, University of Melbourne
Dr. Chirantan Bhagawati, Assistant Professor, Gargaon College
3. Unsupervised and Supervised Learning: 20th March
Speakers:
Dr. Shashaank A. Mattur, Senior Research Engineer, Philips India
Dr. Bijju Kranthi Veduruparthi, Computer Vision Group Lead, Invento Labs, India
4. Artificial Neural Networks: 21st March
Speakers:
Dr. Geetartha Dutta, Assistant Professor, Dibrugarh University
Mr Ayan Borthakur, Graduate Researcher, Cornell University
Coordinator: Mr Phani Kumar Malladi, Graduate Researcher, Indian Institute of Technology Kharagpur
Agenda
1. Introduction to Data Analytics & Machine Learning
2. Fundamentals of Data Handling
3. Data Pre-processing and Visualization
4. Data Processing and Exploration
1. Concept Learning & the General-to-Specific Ordering
2. Unsupervised and supervised learning
3. Decision tree and Bayesian learning
4. Artificial neural networks (ANN)
Media
| Workshop Banner | 212.66 KiB | |
| IWTMLDA2021_1 | 171.95 KiB | |
| IWTMLDA2021_2 | 183.80 KiB | |
| IWTMLDA2021_3 | 177.32 KiB |