|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-with-python-intelligent-gaming-robot/
课程评论：没有评论
课程名称：使用Python进行机器学习商业应用人工智能机器人 课程概述：在本课程结束时，您将能够构建自己的人工智能软件机器人！如果“机器学习”这个词让您困惑，并且您想要掌握它，那么这个机器学习课程就是为您而设。如果您希望开始自己的机器学习职业，并从中赚钱，那么这个课程适合您。如果您希望在学习数学之后，能够通过编写Python代码进行操作，那么这个机器学习课程也适合您。 机器学习已经成为一个广泛使用的术语，数据无处不在，需要工具来利用和发掘其隐藏的秘密。由于人类的认知能力无法处理如此庞大的数据量，因此我们需要学习使用机器来帮助我们。因此，我们向您介绍这一完整的机器学习课程，您将不需要查阅其他资源，因为本课程已集合您在机器学习和数据科学旅程中所需的大部分知识。 课程结构如下： - 了解算法及其应用 - 深入了解相关数学 - 从零开始用Python编写代码 - 完成练习以提高实践能力 - 学习Python数据科学库，如Pandas、NumPy和Matplotlib - 学习Python机器学习库，如SK-Learn和Gym 课程内容基于从大科技雇主数据科学家职位列表中分析出的实际需求，涵盖以下主题： - 逻辑回归 - K最近邻（K-NN） - 支持向量机（SVM） - 核SVM - 朴素贝叶斯 - 决策树分类 - 随机森林分类 - 模型性能评估 - 强化学习Q学习算法 注意：本课程会持续更新，因此会添加新的算法和练习，以应对外部世界的不同问题，提供您应对各种挑战所需的强大算法工具。此外，课程还包括可以下载并用于个人项目的Python代码模板。 本机器学习课程适合所有水平的学生，无论您是机器学习的初学者、中级学习者还是高级学习者，都能在本课程中找到适合自己的内容，因为我们讨论了许多机器学习算法，涉及多个学习步骤，以满足各级学生的需求。
by the end of this course you will be able to construct your own artificial intelligence software robot!Hello everyone,If the word 'Machine Learning' baffles your mind and you want to master it, then this Machine Learning course is for you.If you want to start your career in Machine Learning and make money from it, then this Machine Learning course is for you.If you want to learn how to manipulate things by learning the Math beforehand and then write a code with python, then this Machine Learning course is for you.If you get bored of the word 'this Machine Learning course is for you', then this Machine Learning course is for you.Well, machine learning is becoming a widely-used word on everybody's tongue, and this is reasonable as data is everywhere, and it needs something to get use of it and unleash its hidden secrets, and since humans' mental skills cannot withstand that amount of data, it comes the need to learn machines to do that for us.So we introduce to you the complete ML course that you need in order to get your hand on Machine Learning and Data Science, and you'll not have to go to other resources, as this ML course collects most of the knowledge that you'll need in your journey.Our course is structured as follows:An intuition of the algorithm and its applications.The mathematics that lies under the hood.Coding with python from scratch.Assignments to get your hand dirty with machine learning.Learn more about different Python Data science libraries like Pandas, NumPy & Matplotlib. Learn more about different Python Machine learning libraries like SK-Learn & Gym.The topics in this course come from an analysis of real requirements in data scientist job listings from the biggest tech employers. We'll cover the following: Logistic RegressionK-Nearest Neighbors (K-NN)Support Vector Machines (SVM)Kernel SVMNaive BayesDecision Tree ClassificationRandom Forest ClassificationEvaluating Models' PerformanceReinforcement learning Q-leaning algorithmNote: this course is continuously updated! So new algorithms and assignments are added in order to cope with the different problems from the outside world and to give you a huge arsenal of algorithms to deal with. Without any other expenses.And as a bonus, this course includes Python code templates which you can download and use on your own projects.the best part of this machine leaning course is that is cope with all machine leaning students levels if you are a very beginner in machine leaning so this machine learning course is for you and if your machine learning level is intermediate so this machine leaning course is also for you and if you have an advanced level in machine leaning so this machine leaning is also for you as we re discussing many machine leaning algorithms that has many machine learning steps to be suitable for all machine leaning students
