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所在平台: Udemy |
课程主页: https://www.udemy.com/course/frauddetectionpythontensorflow/
课程评论：没有评论
**课程名称：** 利用数据可视化和预测建模来预测欺诈！ **课程概述：** 本课程旨在教授学员如何运用人工智能（AI）进行自动化，特别关注Python编程、TensorFlow框架的应用以及信用卡欺诈分析。课程将理论与实践相结合，让学员通过动手实践来掌握知识。 **课程亮点：** * **PyCharm和TensorFlow入门：** 尽管关于PyCharm的教程稀少，本课程提供了对PyCharm和TensorFlow的全面介绍。 * **行业认可：** 学员评价极高，称其“物超所值”并“让学习Python变得有趣而快速”。 * **AI在自动化中的应用：** 深入探讨AI如何用于自动化任务，例如预测股票市场趋势、人脸识别，甚至是用于农作物采摘等具体场景。 * **信用卡欺诈检测：** 特别专注于信用卡欺诈检测领域，为初学者提供全面的指导。 * **实践驱动的学习：** 课程融合理论知识与实际编码项目，强调“边做边学”的学习方式。 * **TensorFlow的崛起：** 强调TensorFlow的普及如何推动了自动化任务的爆炸式发展。 * **起源：** 本课程由一个成功的Kickstarter众筹项目资助。 **学习内容（推测，基于概述）：** * Python基础编程 * TensorFlow框架的使用 * 数据可视化技术 * 信用卡欺诈检测的预测模型构建 * AI在自动化和预测分析中的应用案例 **目标学员：** * 对AI和自动化感兴趣的初学者 * 希望学习Python和TensorFlow的学员 * 对信用卡欺诈检测领域感兴趣的人士
"There are not that many tutorials on PyCharm. In fact, hardly any. Because of this one, I got my first broad overview of not only PyCharm, but also TensorFlow. Bottom-line: It's a great value for money." ⭐ ⭐ ⭐ ⭐ ⭐ "Incredible course. Looking forward for more content like this. Thank you and good job." - Joniel G."Makes learning Python interesting and quick."------------------------------------------------------Do you want to learn how to use Artificial Intelligence (AI) for automation? In this course, we cover coding in Python, working with TensorFlow, and analyzing credit card fraud. We interweave theory with practical examples so that you learn by doing.This course was funded by a wildly successful Kickstarter.AI is code that mimics certain tasks. You can use AI to predict trends like the stock market. Automating tasks has exploded in popularity since TensorFlow became available to the public (like you and me!) AI like TensorFlow is great for automated tasks including facial recognition. One farmer used the machine model to pick cucumbers! Join Mammoth Interactive in this course, where we blend theoretical knowledge with hands-on coding projects to teach you everything you need to know as a beginner to credit card fraud detection.Enroll today to join the Mammoth community!
