Machine Learning for Computer Scientists and Data Analysts

Sai Manoj P D is an assistant professor at George Mason University. Prior joining to George Mason University, he was a post-doctoral research scientist at the System-on-Chip group, Institute of Computer Technology, Vienna University of Technology (TU Wien), Austria. He received his Ph.D. in Electrical and Electronics Engineering from Nanyang Technological University, Singapore in 2015. He received his master's in Information Technology from International Institute of Information Technology Bangalore (IIITB), Bangalore, India in 2012. His research interests include on-chip hardware security, neuromorphic computing, adversarial machine learning, self-aware SoC design, image processing and time-series analysis, emerging memory devices and heterogeneous integration techniques. One of his works is nominated for Best Paper Award in Design Automation & Test in Europe (DATE) 2018 and won Xilinx open hardware contest in 2017 (student category). He is the recipient of the "A. Richard Newton Young Research Fellow" award in Design Automation Conference, 2013.

Introduction.- Metadata Extraction and Data Preprocessing.- Data Exploration.- Practice Exercises.- Supervised Learning.- Unsupervised Learning.- Reinforcement Learning.- Model Evaluation and Optimization.- ML in Computer vision - autonomous driving and object recognition.- ML in Health-care - ECG and EEG analysis.- ML in Embedded Systems - resource management.- ML for Security (Malware).- ML in Big-data Analytics.- ML in Recommender Systems.- ML for Ontology Acquisition from Text and Image Data.- Adversarial Learning.- Graph Adversarial Neural Networks.- Graph Convolutional Networks.- Hardware for Machine Learning.- Software Frameworks.