机器学习

机器学习课程介绍如何创建使用和分析大规模数据的系统。具体内容包括预测算法、自然语言处理以及统计模式识别。

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獲得您的學位

最受歡迎的机器学习課程

Apply by the final deadline on May 15th and launch your data science career.

Apply by 5/1 to earn an online Master's of Computer and Information Technology.

最佳机器学习和 AI 课程

最受好評的机器学习課程

掌握数据科学的基础数学技能和统计

机器学习中最受歡迎的證書

    關於 机器学习 的常見問題

  • Machine learning is a branch of artificial intelligence that seeks to build computer systems that can learn from data without human intervention. These powerful techniques rely on the creation of sophisticated analytical models that are “trained” to recognize patterns within a specific dataset before being unleashed to apply these patterns to more and more data, steadily improving performance without further guidance.

    For example, machine learning is making increasingly accurate image recognition algorithms possible. Human programmers provide a relatively small set of images that are labeled as “cars” or “not cars,” for instance, and then expose the algorithms to vastly larger numbers of images to learn from. While the iterative algorithms typically used in machine learning aren’t new, the power of today’s computing systems have enabled this method of data analysis to become more effective more rapidly than ever.