Name: Manivannan Murugavel
Profile: AI Engineer
Email: manivannanmca2012@gmail.com
Phone: +91-7502605823
To work as an AI programmer and help in developing intelligent programs whereby accomplishing complex tasks with the help of machines become a possibility.
3+ Years of experience as a AI Engineer(Machine Learning and Deep Learning) with strong technical knowledge in AI, Big Data and Data Science platforms.
Deep involvement in Deep Learning, Machine Learning and Natural Language Processing.
I have hands-on experience in working with Machine Learning Algorithms in real-world problems.
Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised.
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that can interface with other thought processes and elicit appropriate action.
Natural language processing (NLP) is a subfield of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.
The internet of things, or IoT, is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers ( UIDs ) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
A cloud service is any service made available to users on demand via the Internet from a cloud computing provider's servers as opposed to being provided from a company's own on-premises servers.
3.4
YEARS OF EXPERIENCE100
Blogs32
Repositaries | Github
The Multiple Object Tracker is used for tracking all the objects like person, car, etc. We usually apply many algorithms to track
each object, but I have used only three concepts to track the objects.
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The Name Entity Recognition a.k.a NER, is used to extract Name-Entity relationships from text. Some of the examples that employ NER are trying to identify person names, organisation names, d.o.b, human relationships etc.,
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YOLOv3 is one of the popular object detection frameworks currently used in the industry to identify region of objects from the image.
I am going to train a custom model to identify objects, based on YOLOv3.
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