In some applications of supervised machine learning, it is desirable to trade model complexity with greater … valuation modeling, where machine learning techniques typically improve predictive accuracy, but are too opaque for some … benefit from the excellent predictive capabilities of two advanced machine learning techniques: deep learning and gradient …

In today's era of big data, deep learning and artificial intelligence have formed the backbone for cryptocurrency … portfolio optimization. Researchers have investigated various state of the art machine learning models to predict Bitcoin price … and volatility. Machine learning models like recurrent neural network (RNN) and long short-term memory (LSTM) have been …

The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model … learning model performance without necessarily reflecting reality, which leads to over-fitting or decreased performance. In …

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of … limitations of ML learning methods and recent advances in ML were used to provide a conic view to future ML econometric practice. …

indicators of a sample of 58 identified I4.0 companies. We developed a machine-learning model by using the eXtreme Gradient … Boosting algorithm (XGBoost) for this purpose, an approach that has not been used in any similar research. This research shows …

finance and one book review. The content is six articles on machine learning, five articles based on traditional econometric … analysis, and five articles on emerging markets. The large share of articles on the application of machine learning is in line …

, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of … statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has … includes contributions on the application of machine learning, agent-based artificial market simulation, and other related …

credit scoring models currently in use by a Norwegian bank with a deep learning model trained solely on transaction data … deep learning model further outperforms the conventional application credit scoring model for new customers and narrows the …

In this study, we apply several advanced machine learning techniques including extreme gradient boosting (XGBoost … Belgian Small and Medium Enterprises (SME's) during the period 2002-2012. Using the above-mentioned machine learning …