Relevant Courses

Following are set of the courses that I have either completed or am currently enrolled in.

MOOC (Verified)

Udacity

• Sensor Fusion NanoDegree

• Deep Learning NanoDegree

• Deep Reinforcement Learning NanoDegree

Coursera

• First Principles of Computer Vision Specialization by Columbia University

• Generative Adversarial Networks (GANs) Specialization by deeplearning.ai

• Natural Language Processing Specialization by deeplearning.ai

• Deep Learning Specialization by Andrew Ng

  • Neural Networks and Deep Learning

  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

• Machine Learning by University of Washington

  • Machine Learning Foundations: A Case Study Approach

  • Machine Learning: Regression

  • Machine Learning: Classification

• Data Science by Johns Hopkins University

  • The Data Scientist's Toolbox

  • R Programming

  • Getting and Cleaning Data

  • Exploratory Data Analysis

  • Reproducible Research

  • Statistical Inference

• Algorithms by UC San Diego

  • Data Structures

  • Algorithms on Graphs

• Synapses, Neurons and Brains by Hebrew University of Jerusalem

• Machine Learning by Andrew Ng

Stanford Online

• Statistical Learning

edX

• 18.01x Single Variable Calculus by MIT

• 6.431x: Probability - The Science of Uncertainty and Data by MIT