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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-step-by-step-guide/
课程评论：没有评论
课程名称：数据科学：在Matlab中的机器学习算法 课程概述：近年来，人工智能（AI）和机器学习经历了复兴，机器学习带来了惊人的成果，比如能够分析医学图像并预测疾病，其精准度已经可与专家相媲美。谷歌的AlphaGo程序利用深度强化学习，在围棋这一策略游戏中战胜了世界冠军。机器学习甚至被应用于自动驾驶汽车的编程，这将永远改变汽车行业，想象一下通过消除人为错误而大幅减少交通事故的世界。谷歌声称现在是“机器学习优先”，而NVIDIA和亚马逊等公司也随之而来，这将是未来几年的创新驱动力。机器学习被广泛应用于各行各业，如金融、在线广告、医学和机器人技术等，是一个拥有广泛应用工具的领域，无论你身处哪个行业，学习机器学习都会让你受益匪浅，并为你开启大量职业机会。 此外，机器学习也引发了一些哲学问题，比如我们是否在构建一个能够思考的机器？意识意味着什么？计算机是否会有一天统治世界？本课程将从基础到高级，采用循序渐进的方法，使机器学习易于理解。 课程提示：1. 以2倍速观看课程。2. 做手写笔记，这将大大提高信息的记忆能力。3. 写下方程式，如果不这样做，我可以保证它看起来只会像乱码。4. 在讨论区多提问，越多越好！5. 认识到大多数练习将需要你几天或几周的时间来完成。6. 自己编写代码，不要只是看我的代码。
In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error. Google famously announced that they are now "machine learning first", and companies like NVIDIA and Amazon have followed suit, and this is what's going to drive innovation in the coming years. Machine learning is embedded into all sorts of different products, and it's used in many industries, like finance, online advertising, medicine, and robotics. It is a widely applicable tool that will benefit you no matter what industry you're in, and it will also open up a ton of career opportunities once you get good. Machine learning also raises some philosophical questions. Are we building a machine that can think? What does it mean to be conscious? Will computers one day take over the world? This course will go from basics to advance. Step by step approach will make its easy to understand Machine Learning. TIPS (for getting through the course): Watch it at 2x.Take handwritten notes. This will drastically increase your ability to retain the information.Write down the equations. If you don't, I guarantee it will just look like gibberish.Ask lots of questions on the discussion board. The more the better!Realize that most exercises will take you days or weeks to complete.Write code yourself, don't just sit there and look at my code.
