Sequential and Parallel Architectures All in One — INTRODUCTION XGBoost (eXtreme Gradient Boost) is a powerful learning algorithm which had outperformed many conventional Machine Learning algos in many competitions in the past. In a nutshell, XGBoost is equipped with both sequential and parallel architectures all in one: while it is a sequential learning…

Search Global Minimum while addressing Bias-Variance Trade-off — Since Boosting Machine has a tendency of overfitting, XGBoost has an intense focus on addressing bias-variance trade-off and facilitates the users to apply a variety of regularization techniques through hyperparameter tuning. This post will walk you through the code implementation of hyperparameter tuning using the native XGBoost API to address…

Our Epistemological Limitation and Illusion of Knowledge — Excessive multiple local minima during hyperparameter tuning is a symptom of a highly sensitive model performance to small changes in the value of hyperparameter, as displayed in the chart above. I encountered this very rugged performance landscape with multiple dips and bumps when I was performing the grid-search tuning on…

Map Risk Clusters of Neighbourhoods in the time of Pandemic: a case of Buenos Aires Introduction Every year is unique and particular. But, 2020 brought the world the special planetary pandemic challenge of COVID-19. It spread and penetrated rapidly into different parts of the globe. And, the autonomous city of Buenos Aires (CABA: Ciudad Autonoma de Buenos Aires) is not an exception. In this particular setting…

The historical crisis, COVID-19 pandemic, might have already staged the unexpected debut of MMT as a contingency measure in the main stream of the world economy. — The crisis of COVID-19 pandemic, shutting down the market-oriented economy, is rapidly transforming our social, political, and economic landscape. It is now making ‘politically impossible’ into ‘political inevitable’ in many spheres of our life. The pandemic has forced many governments to face with the dilemma between ‘medical catastrophe’ and ‘economic…

Some cases in history, economic catastrophes caused tectonic paradigm shifts in monetary regime. When that happens, an economic catastrophe in one generation could determine the monetary system design of the next generation in one way or another. …

Zero lower boundary has been already breached in the sphere of monetary policy in some countries: e.g. Denmark, Japan, Sweden, Switzerland, and the eurozone (Martin & Wigglesworth, 2019). And the blackhole of negative interest rates has been expanding beyond policy rates. It has already penetrated both deposit and lending rates…

On a day in March 2013, there was a presentation about Japan’s government debt. And, there took place a brief, but memorable, exchange of Q&A between the speaker and an audience. Audience: “If tomorrow you got put in charge of Japan (the Ministry of Finance of Japan), what would you…

between 237% Japan (April, 2017) and 59% Argentina (2018), which is more risky? — Today, Japan is far more indebted than Argentina. ‘Gross Sovereign Debt to GDP ratio (Gross SD/GDP Ratio)’ is a measure to compare the level of sovereign government debts among different peers. …