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AIMLDS

I began my career exploration from my second year of undergraduate. I began investigating myself in the disciplines of Internet of Things, Robotics, Multimedia Designing and Artificial Intelligence. After a number of classes, workshops and hands-on experiments I found myself interested more in Artificial Intelligence. I enjoyed Mathematics in my undergrad and was enthralled by it's applications in the field of AI and ML concepts such as minimizing the error using differentiation which involves the application of slope, graph visualization, using continuous functions, local maxima vs global maxima and many other things.

I feel there is enormous potential in this industry, and it is one of those professions where I will not have to settle for a repetitious work career, and can focus on developing an identity for myself rather than following the herd.

MOOCs

Massive Open Online Courses (MOOCs) served as a stepping stone for me into the field of Artificial Intelligence since they provided a wealth of structured resources from world-class academic institutions and tech companies.

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Some of the courses I have enrolled are :

  • Machine Learning Specialization by Stanford University
  • Deep Learning Specialization by deeplearning.ai
  • Data Science Specialization by IBM
  • Applied AI Specialization by IBM
  • Advanced Data Science Specialization by IBM
  • AI Engineering Specialization by IBM
  • Advanced Machine Learning Specialization by HSE (Undergoing)
  • Machine Learning Specialization by University of Washington (Undergoing)
  • Natural Language Processing Specialization by deeplearning.ai (Undergoing)
  • Mathematics for ML by Imperial College (Undergoing)
  • IT support Specialization by Google
You can have a look at all the certifications I have acquired here https://github.com/Maria-Anson/E-Certificates/tree/master/Courses

Presentation

I have presented a presentation titled ‘Convolutional Neural Networks’ in the International Conference on Future Intelligence Computing 2020 at EGS Pillay Engineering College Nagapattinam which is co authored by my academic adviser Rasikannan and class mate Bagavathy Priya. This presentation was primarily focused on showcasing the working of Convolutional Neural Network.

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Badges

Badges are digital assets used to communicate a verified learning achievement or credential of an individual.

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You can have a look at all the badges I have acquired here https://www.credly.com/users/maria-anson/badges

To have a thorough understanding of AI and machine learning, I began attending numerous seminars and watched countless YouTube videos. In order to gain practical experience, I also attended a number of workshops, made projects and kaggle competitions. I also did develop the practice of code life cycle in my github.

A special thanks to Manikandan Mohan, for being a great mentor and for pointing me in the correct direction.