machine learning-1

最新推荐文章于 2022-12-17 14:15:35 发布

渐远的思绪

最新推荐文章于 2022-12-17 14:15:35 发布

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本文链接：https://blog.youkuaiyun.com/ruishiyu18/article/details/99684628

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本文探讨了机器学习的基本概念，解释了它是如何通过算法使计算机从数据中学习并改进其性能的。文章强调了数学知识，特别是线性代数和概率统计在机器学习中的重要性，并讨论了大数据时代对机器学习的影响。

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Machine learning

Machine learning is a method of how to make the machines use basic algorithm to face different situations. The fact is that the people design the algorithms and “teach” machine to summarize and analyze the data. We tell the appropriate algorithms to machines, and give massive data to it for training. Machine learning could help machines build up new algorithms and summarize data like a human. Of cause it has a better calculating “brain” so that they can do it better than human. The guided algorithms depend on massive knowledge of math, especially Linear Algebra and the theory of probability and statistics. In fact, at the early stage machine’s ability of calculation is less insufficient than its guided algorithm. That is why machine learning wasn’t put into use massively until the period of big data comes.

It is not sure that whether machine learning can save data and whether training process follows the neural net of human. Therefore, it maybe is a method for human to excavate the potential of themselves.

References 《什么是机器学习》