Financial Applications of Gaussian Processes and Bayesian Optimization

Gaussian cycles and Bayesian optimization (BO) are effective and sound among the machine learning groups for their applications in finance and various other fields. Whether it is the asset management, market creation, options trading, or risk management, algorithms of machine learning are being used [1]. Regardless of doubt about past executions, we should now concede that machine learning is altering the financial industry. Almost every segment in the industry has massively invested in machine learning and mostly believes that this is only the start. Indeed, even regulators are intently watching this turn of events and its effect on the sector. Until now the greatest pointer is the improvement of the financial market employing. These days, quant finance applicants should pass certification in machine learning, or at least know about this innovation and have experience in the Python programming language [2].