MACHINE LEARNING X DOING RESEARCH
Datastreams: Statistics and Causal Inference in Real-Time (2020).
MACHINE LEARNING BY DOING RESEARCH PAPER 1
The paper presents statistics and causal inference in real-time data settings.
AN EXTENSION OF LEARNING-BY-DOING (2020)
MACHINE LEARNING BY DOING RESEARCH PAPER 2
This paper shares a learning approach.
AN IDENTIFICATION AND ESTIMATION APPROACH (2020)
MACHINE LEARNING BY DOING RESEARCH PAPER 3
I discuss an econometric approach.
I am committed to adhering to all standards associated with COVID-19. With my approach, Machine Learning X Doing, I know that my contribution in weathering the impact is providing rigorous and multidisciplinary research consulting that can enable fundamental socioeconomic shifts. The approach is aimed at helping Canada and the world overcome the economic crisis itself. Many families have lost loved ones and gainful employment. With stakeholders, executives, partners and essential workers, we can end this crisis.
Committed to EMPOWERING FIRMS AND INDUSTRIES
With Machine Learning X Doing, I am committed to provide rigorous multidisciplinary consulting and advice to decision makers, firms and policy makers that desire for their companies and industries to be more competitive. There are growing concerns that the crisis means that automation must hasten the demise of jobs to minimize health risks. My goal is to ensure that human work is enhanced. I am focused on presentations as well as remote data access and analyses where deemed necessary by partners.
ENHANCING AIR TRAVEL
With Machine Learning X Doing, I am committed to provide rigorous multidisciplinary consulting and advice to air travel stakeholders, airports and airlines that need to help consumers be more comfortable about flying; partners be more interested in supporting them and their workers more engaged in making contributions in this complex time in an inclusive and data-driven manner. I am focusing on video conferencing and remote data analyses where deemed necessary by partners. I am focused on presentations as well as remote data access and analyses where deemed necessary by partners.
Kweku Opoku-Agyemang, Ph.D.