Coursera-Machine-Learning-Review-W3 Classification and Representation 我们在日常生活中还会遇到关于分类的问题,例如垃圾邮件分类,肿瘤良性与恶性的分类,在这种问题中我们倾向于以0和1来分别代表分类的两个值,所以我们需要一个能够进行分类的算法。利用之前学习的线性回归我们或许可以拟合一条直线,假设函数不变,接着对...
编号按照对应的内容,1-1代表第一大部分遇到的第一题,R代表Review,C代表运行的代码(Code)。 1-1 解:B 标记过多的数据为异常可以说明,我们的阈值太高了,导致正常数据也被划分到异常数据中了。 1-2 解:D 极大似然估计对的参数,用平均值求μ,用样本与平均值之差的平方和的平均值求σ方。 2-1 解:C 不...
Coursera-MachineLearning-Week1题目整理 ''编号按照对应的内容,1-1代表第一大部分遇到的第一题,R代表Review,C代表运行的代码(Code)。 1-1. 解:计算机的经验E,任务T,标准P。我们在垃圾邮件分类时,我们的任务T就是区分邮件是垃圾邮件还是不是垃圾邮件。 1-2. 解: 任务1:你有大量相同物品的库存。你想预测在...
Description:In the third course of theDeep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize...
Coursera-MachineLearning-Week3题目整理 ''编号按照对应的内容,1-1代表第一大部分遇到的第一题,R代表Review,C代表运行的代码(Code)。 1-1. 解:D A:如果线性回归不适用于分类任务,就像前面的视频中的示例一样,应用特征缩放不会有所帮助,错误。 B:如果训练集满足0<yi<1,则对于a的所有值(xi,yi),线性回归...
课程首页:Coursera-Stanford-Machine Learning 授课教授:吴恩达(Andrew Ng) Week 1 2018.10.10 Introduction Linear Regression with One Variable Linear Algebra Review 1
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Machine learning certification is a recognized accreditation of a data analyst or a data scientist’s machine learning skills and knowledge. Beginners and experienced professionals alike can acquire machine learning certifications to boost their knowledge and gain accreditation for their skills. The demand...
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-Build a classification model to predict sentiment in a product review dataset. -Analyze financial data to predict loan defaults. -Use techniques for handling missing data. -Evaluate your models using precision-recall metrics. -Implement these techniques in Python (or in the language of your choice...