Machine Learning Engineer to Machine Learning Scientist: A journey with Image Processing

Speaker:  Rik Das – Ranchi, India
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


This talk bridges the relation between image processing and machine learning. There are numerous youngsters who all are willing to build a career in this particular domain and are desperately looking for a proper initiation. Some of them are even employed as machine learning engineers and are wondering how to become a machine learning scientist to deal with new challenges rather than becoming a tool based application developer. The talk provides an idea about the research driven approach towards machine learning with content based image data. It provides certain clues to understand cutting edge research and to address open problems with one's own research propositions. It also covers research best practices and tips to pursue quality research in real time. 
Hence, the talk distinctively includes:
Difference between ML Engineer and ML Scientist
Demystifying Innovation in ML with Image Data
Transformation steps for any enthusiast to ML Scientist 
Roadmap for research in image processing based machine learning
Bringing your research to prominence
Best practices of Research in Image Recognition

About this Lecture

Number of Slides:  50
Duration:  50 minutes
Languages Available:  English
Last Updated: 

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