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所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-intelligence-for-beginners-understand-the-basics/
课程评论：没有评论
课程名称：人工智能基础入门：理解基本概念 课程概述：本课程旨在揭示人工智能的奥秘。我们将从历史的角度出发，回顾人工智能的发展历程，了解“人工智能”这一术语的起源，并重新定义其在当今背景下的含义。在掌握这些基础知识后，我们将探讨各种类型的人工智能，例如回归、分类和聚类。同时，我们也将研究强化学习及其应用。课程通过详细讲解这些概念，并结合真实案例来加深理解，如自动驾驶汽车，并将其所使用的人工智能技术分解为回归、分类和聚类等组成部分。 在具备基本了解之后，我们将深入定义人工智能系统的各个组成部分，并用实际案例来阐明相关概念。这些部分如输入数据、算法和输出在不同的人工智能模型中 largely 是相似的，全面理解这些内容及其局限性是构建深入知识的基础。 最后，课程将引导学员创建自己的实用人工智能模型。所创建的模型采用无代码的方法，但完全可以自定义。学员不仅可以下载自己创建的模型代码，还可以根据需要进行使用。我们将开发的模型包括：图像检测模型、姿态检测模型和音频检测模型。 本课程面向18岁以上的成人；如果未成年人想参与，必须由父母或监护人购买课程并在监督下观看。
This course takes you on a journey to demystify Artificial Intelligence. We start with a historical perspective and understand the journey of AI through time. We learn about the term artificial intelligence and its origins. We then define the term in the current context.Once these basics are clear, we move on to Understand the various types of Artificial Intelligences like Regression, Classification and Clustering. We also look at reinforced learning and its uses. We talk about each of these in detail along with some real-life examples. We also Take a look back at some real-life artificial intelligence examples like a self-driving car and try to Segment the AI used in this into constituent components like regression classification and clustering.Once equipped with the basic understanding, we define the parts of Artificial Intelligence systems in detail and use real life examples to clarify concepts. The parts like input data, algorithm and output are pretty much common across artificial intelligence models. Having a clear understanding of these as well as their limitations is necessary for strong foundations in the subject.Finally, we develop our own usable AI models. These models are created using no-code method but are completely customizable. In fact, you can even download the code for the AI models that you have created and use it as you would like it. You will define the input, select the algorithm to be used and finally will also evaluate the output produced by the model.The models we create are:Image Detection ModelPose Detection ModelAudio Detection ModelThe course is supposed to be purchased by adults over the age of 18. In case kids want to enroll for the course, course must still be purchased by a parent or guardian and be watched under supervision.
