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In the largest experiment studying people s risky choices to date, researchers show how machine learning can be used to test and improve long-stagnant theories of human decision-making. Understanding and predicting how people make decisions has been a longstanding goal in psychology and economics, which has led to a proliferation of competing theories and models of decision-making. But many of these theories are often difficult to distinguish from each other and few provide discrete or novel insights into human behavior. As a result, there remains little consensus on the best decision theory or model and little gain in their predictive power. Recently, efforts to discover and evaluate new decision-making theories have been enhanced using machine learning. However, while these data-driven approaches can accelerate the discovery of new predictive models of human judgments, the results are limited by small datasets and are often uninterpretable. To address this, Joshua Peter
Lendingkart’s NBFC arm raises ₹108 crore from Dutch bank FMO
April 06, 2021
To raise additional ₹3,000 cr in debt funding in FY 2022 Lendingkart, a financial services and fintech start-up, announced a new round of fund raising of $15 million (₹108 crore) in debt funding from FMO, the Dutch entrepreneurial development bank. With this deal, Lendingkart strengthens its three-year relationship with the bank, having received funds through NCDs (non-convertible debentures) and increasing its cumulative exposure to $19 million with this transaction.
FMO supports sustainable private sector growth in developing countries and emerging markets. This new influx of funds to Lendingkart will be utilised towards expanding the reach of financial products to the MSME segment through Lendingkart’s digital platform across 100 sub-industries spread across India.