Machine Learning, DeepLearning and artificial intelligence algorithms, in general, are attracting increasing attention in various industrial and social fields. However, many interesting algorithms were developed a few years ago.

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In recent years machine learning is gaining more and more popularity, but what exactly is it? The name "machine learning" initially originated from famous gaming researcher Arthur Lee Samuel. Samuel is the first person to bring self-learning programs into society. This remarkable discovery shortly laid the foundation for machine learning algorithms. In later years, rising popularity in artificial intelligence give birth to many innovations in the field of Computers and Automation.

Follow along with the course eBook: https://goo.gl/XJ2Xnb For full courses see: http://complexitylabs.io/courses Machine learning refers to the process through which a computer can construct an algorithm based upon the analysis of data. Such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, through building a model from sample inputs. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance are difficult or infeasible.

Prabhat leads the Data and Analytics Services team at NERSC. His current research interests include scientific data management, parallel I/O, high performance computing and scientific visualization. He is also interested in applied statistics, machine learning, computer graphics and computer vision. Prabhat received an ScM in Computer Science from Brown University (2001) and a B.Tech in Computer Science and Engineering from IIT-Delhi (1999). He is currently pursuing a PhD in the Earth and Planetary Sciences Department at U.C. Berkeley.