The aim of this mixed research is to analyze the use of flipped classroom in the educational process on financial mathematics considering data science, machine learning (linear regression) and neural network. The sample is composed of 29 people who studied the career of Marketing and took the Financial Mathematics course during the 2018 school year. The results of machine learning indicate that the consultation of the English and Spanish videos before the class, the realization of the exercises collaboratively through the spreadsheet and dissemination of the answers about the exercises through Google Drive during the class and the realization of the online exams and laboratory practices after the class positively influence the development of mathematical skills about simple interest. Data science identifies 6 predictive models about the use of flipped classroom. On the other hand, the neural network identifies the aspects of flipped classroom that most influence the development of mathematical skills during the educational process on financial mathematics. Also, the students of Marketing consider that flipped classroom allows the construction of new educational spaces through the use of technology. Finally, flipped classroom is a pedagogical model that transforms the teaching-learning conditions and updates the organization of the activities before, during and after the class.

这项混合研究的目的是在考虑数据科学，机器学习（线性回归）和神经网络的情况下，分析翻转教室在金融数学教育过程中的使用。该样本由29位研究营销职业并在2018学年学习金融数学课程的人组成。机器学习的结果表明，在上课之前先咨询英语和西班牙语视频，通过电子表格协作实现练习，并在上课期间通过Google云端硬盘传播有关练习的答案，并实现在线考试和课后的实验室实践对简单兴趣的数学技能的发展产生积极影响。数据科学确定了有关翻转教室使用的6种预测模型。另一方面，神经网络可以识别翻转教室的各个方面，这些方面在金融数学的教育过程中对数学技能的发展影响最大。此外，市场营销专业的学生认为翻转教室允许通过使用技术来建设新的教育空间。最后，翻转教室是一种教学模型，可以改变教学条件，并在上课之前，期间和之后更新活动的组织方式。市场营销专业的学生认为，翻转教室可以通过使用技术来建设新的教育空间。最后，翻转教室是一种教学模型，可以改变教学条件，并在上课之前，期间和之后更新活动的组织方式。市场营销专业的学生认为，翻转教室可以通过使用技术来建设新的教育空间。最后，翻转教室是一种教学模型，可以改变教学条件，并在上课之前，期间和之后更新活动的组织方式。