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+ Professor Shai Ben-David will discuss the basic principles behind machine learning and how they relate to some of + the headline-making practical tools, in addition to the major rearch challenges and directions that address + the fast expanding scope of potential machine learning applications. +

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+ We are all aware that we live in the era of ("big") data. In contrast to classical scientists + that devoted much of their resources to collecting data, nowadays researchers are flooded with + data and the focus has switched to trying to make sense of and utilize the big and complex available data. + Machine learning is aimed to use computer power to do just that. +

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+ It is therefore no wonder that machine learning is currently a hot topic. Evidence is all over the map, from + NYTimes articles to being a top priority for research investments by Google, Amazon, Microsoft and Facebook. + Throughout its (short) history, machine learning has enjoyed fruitful interactions between theory and practice. + The growing awareness to its power keeps stimulating research towards new applications to the field, which in turn + spur the development of algorithms and inspire new frontiers for our theoretical pursuit. +

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+ In this talk Professor Shai Ben-David will explain the basic principles behind machine learning and how these principles relate to some + of headline-making practical tools. Ben-David will also describe some of the major research challenges and research + directions that address the fast expanding scope of potential machine learning applications. +

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