The key to my teaching philosophy is in the relationship between the student and teacher with a focus to make the subject more interesting to learn. My definition of a teacher is one who is an advanced student with highly developed skills and methods. Therefore, I approach the student as an individual with the same potential as the teacher and observed that when treated as colleagues, students achieve amazing results.
I am a Machine Learning Scientist with over 8+ years of experience in both the Industrial and Research & Development domain. I have hands-on experience of Python programming and strong Knowledge of Machine Learning Frameworks such as -TensorFlow, Scikit-Learn, Torch/PyTorch, Keras, Theano, Pandas, Numpy, Matplotlib, MLlib, Caffe, MXNet, Chainer, APIs (including AWS, Google Colab & Docker) also MATLAB, Shell-Script. Implemented different Machine Learning Algorithms such as- Supervised Learning, Unsupervised Learning, Long Short-Term Memory, Recurrent Neural Network, Convolutional Neural Network, Generative Adversarial Network
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