先来回顾一下机器学习定义
人工智能的提出：让机器能像人那样认知、思考和学习。
然后在当时提出了推理学习的人工智能目标：
人工智能 ≈ 机器学习
其中有这样一句话：Field of study that gives computers the ability to learn without being explicitly programmed
就是让机器自行去学习（不需要给予制定的程序）
一些文献里的经典内容（可以去google翻译了）
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Machine learning is based on algorithms that can learn from data without relying on rules-based programming." - McKinsey & Co.
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"Machine learning algorithms can figure out how to perform important tasks by generalizing from examples." – University of Washington
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"The field of Machine Learning seeks to answer the question “How can we build computer systems that automatically improve with experience, and what are the fundamental laws that govern all learning processes?" – Carnegie Mellon University
- "Machine learning research is part of research on artificial intelligence, seeking to provide knowledge to computers through data, observations and interacting with the world. That acquired knowledge allows computers to correctly generalize to new settings." - Yoshua Bengio, Université de Montréal
让我们看看现代人工智能的应用：
这是手写体的识别，然后识别出来后进行判断
这个照片相当于x，花的学习就是y，x 结合函数 f 就转换成了 y 这种形式
等等等等，人工智能在我们生活中的应用还是挺多的！
机器学习基础概念
建模的一些基础概念：
函数(模型）
标签：Machine,机器,AI,第五课,浙大,学习,人工智能,监督,learning From： https://www.cnblogs.com/Alaso687/p/17031070.html