Abstract: While Machine Learning and Deep Learning have been around for decades, recent advances in these techniques have catapulted them into the mainstream. These advances are in large part due to the collaborative efforts by Open Source developers. Data scientists and engineers, statisticians, physicists, chemists, biologists, and other data driven fields now consider Open Source tools to be the standard, but they often use thier own siloed niche tools. These siloes are barriers to solving some of the world's most challenging problems, which will require deep interdisciplinary collaboration. In this talk, we'll focus on some specific long-standing challenges in Machine Learning and Computer Vision, and how the open analytics platform Apache Spark, is a key enabler to bring about advances in those problems.
Bio: Ian is a data science and engineering guru with over 2 decades of industry experience. He has a strong background in legacy SAS and Apache Spark based analytical solutions. He has a wealth of experience designing and developing data warehouses, BI reports, business process automation, simulation systems, machine learning models, and analytical applications. His broad skills have helped numerous clients around the world in the government, financial, insurance, health care, telecom, software, and retail sectors. In 2015, he founded WiseWithData, a firm specialized in Apache Spark based advanced analytics and legacy migration solutions, with a global reach.