4.2Machine Learning: Regression(机器学习: 回归问题) 这门课程关注机器学习里面的一个基本问题:回归(Regression), 也通过案例研究(预测房价)的方式进行回归问题的学习,最终通过 Python 实现相关的机器学习算法。 4.3Machine Learning: Classification(机器学习:分类问题) 这门课程关注机器学习里面的另一个基本问题:分类(...
入门级Python学习系列课程,涵盖Python基础, Python数据表示, Python数据分析, Python数据可视化等子课程,比较适合Python入门。这门课程的目标是让学生可以在处理实际问题是使用Python解决问题:Launch Your Career in Python Programming-Master the core concepts of scripting in Python to enable you to solve practical p...
Applied Machine Learning in Python Description:This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive stati...
Coursera - 在Python中应用机器学习 大小:540.48 MB | 时间:4小时| 视频:AVC(.mp4)960x540 29.97fps | 音频:AAC 44KHz 1ch类型:eLearning | 级别:中级| 英语语言 本课程将向学习者介绍应用机器学习,更多地侧重于技术和方法,而不是这些方法背后的统计。本课程将首先讨论机器学习与描述性统计的不同之处,并介...
[注]:吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现, 目前包括ex1, ex2, ex3, ex4, ex5,ex6.python代码是完全根据matlib代码修改而来,几乎一一对应。 一、线性回归 全部代码 1、代价函数 其中: 下面就是要求出theta,使代价最小,即代表我们拟合出来的方程距离真实值最近 ...
值得学习的Python课程在Coursera平台上涵盖了从初级到高级的多个方向,主要包括Python编程基础、数据科学与分析、人工智能与机器学习、网络爬虫与数据采集、Web开发等领域。接下来,我会深入探讨几个受欢迎的课程以及它们的特点和学习内容。 一、PYTHON编程基础
https://www.coursera.org/specializations/mathematics-for-machine-learning-and-data-science 机器学习与数据科学数学基础专业化[3门课程] (DeepLearning.AI) 58 Python for Everybody Specialization [5 courses] (UMich) ['University of Michigan']
If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start. Applied Learning Project By the end of this Specialization, you will be ready to: • Build machine learning models in Python using popular machine...
this course, you will use the Python programming language, which is an effective tool for machine learning applications. You will be introduced to the supervised learning techniques: regression and classification. The course will focus on the applications of these techniques in the domain of ...
This course will enable you mastering machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Sta