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2 résultats pour « deep learning »

Machine Learning for Asset Management

14 déc. 2023 Autre, risk management, machine learning, deep learning, algorithmic trading, financial data analysis, reinforcement learning, model evaluation, quantitative finance, feature engineering, asset management

The book divides into four parts. Part I introduces machine learning in finance, tracing its history. Part II covers practical aspects like model implementation, laden with formulas. Part III details supervised, unsupervised, and reinforcement learning in asset management with case studies. Part IV tackles ethics, regulations, risk, and future trends, aiming for a holistic understanding.

Neural networks for insurance pricing with frequency and severity data.

20 oct. 2023 Autre, insurers, machine learning, insurance pricing, deep learning, performance comparison, claim frequency, gradient-boosted tree model, feed-forward neural network, autoencoders, data preprocessing, input features, insurance datasets, tariff table, severity data, CANN, actuarial toolbox, generalized linear models, benchmark study, surrogate models, tabular insurance data, categorical variables

The paper explores the use of machine learning, particularly deep learning techniques, in insurance pricing by modeling claim frequency and severity data. It compares the performance of various models, including generalized linear models and neural networks, on insurance datasets with diverse input features. The authors use autoencoders to process categorical variables and create surrogate models for neural networks to translate insights into practical tariff tables.

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