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所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-intelligence-and-machine-learning-fundamentals/
课程评论：没有评论
课程名称：人工智能与机器学习基础 课程概述：机器学习和神经网络正迅速成为构建智能应用的支柱。本课程将首先介绍Python编程语言，并讨论如何使用人工智能搜索算法。您将学习一些数学密集型主题，如回归和分类，并通过Python示例进行说明。接下来，课程将深入探讨高级人工智能技术和概念，并通过处理现实世界数据集来形成决策树和聚类模型。此外，您将被介绍到神经网络，这是一种强大的工具，受益于摩尔定律在21世纪计算能力上的应用。完成本课程后，您将感到自信，并期待利用新获得的技能构建自己的人工智能应用。 作者简介：Zsolt Nagy是一家数据科学重的广告技术公司的工程经理。获得本体推理硕士学位后，他主要利用人工智能分析在线扑克策略，以帮助职业扑克玩家做出决策。在扑克热潮结束后，他更加努力地打造领导力和软件工程的T型人才profile。
Machine learning and neural networks are fast becoming pillars on which you can build intelligent applications. The course will begin by introducing you to Python and discussing using AI search algorithms. You will learn math-heavy topics, such as regression and classification, illustrated by Python examples.You will then progress on to advanced AI techniques and concepts, and work on real-life data sets to form decision trees and clusters. You will be introduced to neural networks, which is a powerful tool benefiting from Moore's law applied on 21st-century computing power. By the end of this course, you will feel confident and look forward to building your own AI applications with your newly-acquired skills!About the AuthorZsolt Nagy is an engineering manager in an ad tech company heavy on data science. After acquiring his MSc in inference on ontologies, he used AI mainly for analyzing online poker strategies to aid professional poker players in decision making. After the poker boom ended, he put extra effort into building a T-shaped profile in leadership and software engineering.
