{"product_id":"statistical-foundations-of-actuarial-learning-and-its-applications","title":"Statistical Foundations of Actuarial Learning and its Applications","description":"\u003cp\u003e- 1. Introduction. - 2. Exponential Dispersion Family. - 3. Estimation Theory. - 4. Predictive Modeling and Forecast Evaluation. - 5. Generalized Linear Models. - 6. Bayesian Methods, Regularization and Expectation-Maximization. - 7. Deep Learning. - 8. Recurrent Neural Networks. - 9. Convolutional Neural Networks. - 10. Natural Language Processing. - 11. Selected Topics in Deep Learning. - 12. Appendix A: Technical Results on Networks. - 13. Appendix B: Data and Examples.\u003c\/p\u003e","brand":"Springer Nature B.V.","offers":[{"title":"Default Title","offer_id":67657756148079,"sku":"9783031124082","price":463.7,"currency_code":"BRL","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0921\/9384\/9711\/files\/3031124081.jpg?v=1791049272","url":"https:\/\/internacional.umlivro.com.br\/products\/statistical-foundations-of-actuarial-learning-and-its-applications","provider":"UmLivro Internacional","version":"1.0","type":"link"}