Скачать с ютуб Applied Machine Learning for Building and Testing a Variety of Applications в хорошем качестве

Applied Machine Learning for Building and Testing a Variety of Applications

This session will show a quantitative quasi-experimental research paving the way for leaders to use machine learning to enhance practical applications. Machine learning can be used in applications (e.g., demand forecasting, fraud transactions, customer service automation). This research will produce training to convert what may seem like an out-of-reach technology into practical applications. Dr. Ahmed Hashala is a Program Manager with over 20 years of experience managing Industrial Control Systems, Oil & Gas, IoT, and smart cities. He completed his doctoral degree at Westcliff University in using machine learning to improve project budgeting systems. Moreover, he participated in post-doc searches to employ machine learning in scientific research. Dr. Andrews has been working for 18 years as a systems analyst and program manager in the United States and Middle East. She has been working for over 15 years as an organizational consultant providing consultation in all areas of organizational behavior and lean manufacturing. Besides, Dr. Andrews is a professor in statistics, research, and industrial-organizational psychology. She is also a developer of numerous university graduate courses.