Ibrahim

ABOUT ME

I am very enthusiastic about machine learning, computer vision,supervised machine learning, unsupervised learning, and deep learning. I have very good experience in C , C++, Python, numpy, Tensorflow.

I also have good research experience that allow me to understand and implement state-of-art machine learning models and use it for new applications.

I am also very interested in problem solving and I have studied many important topics in ML and NLP through online courses such that (Machine Learning Nanodegree ) on udacity. The topics that I have covered theoretically and practically are: linear regression and logistic regression, locally weighted linear Regression, neural network and backpropagation algorithm, deep learning and unsupervised feature learning, convolutional neural network (ConvNet), dropout regularization technique, K means, linear SVM, gaussian mixture model Gaussian process and reinforcement learning.

SKILLS