We discuss these questions, related work, and potential directions for future research, with the goal of highlighting relevant research topics in machine learning that appear tractable today.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Farid Ghareh Mohammadi1, M. Hadi Amini2, and Hamid R. Arabnia1

• Build frameworks/software that make it easy to express & train a machine learning/deep learning model. • Use methods for accelerating convergence of learning algorithms — learn in fewer …

Learning theory for forecasting non-stationary time series. Algorithms for forecasting non-stationary time series. Time series prediction and on-line learning.

What is Machine Learning? Machine learning (ML) is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and …

Theories and methods for learning from data. The course covers a variety of approaches, including Supervised and Unsupervised Learning, Neural Nets and Deep Learning.

Advanced Machine Learning is an eight-week, part-time, online bootcamp that offers a deeper understanding of advanced machine learning techniques and how to handle unstructured data.