机器学习和预测分析之间的区别

1. 机器学习：
机器学习是人工智能的学科，它利用统计学、计算机科学和算术的基础知识来构建良好的判断力，以便算法运行预测和分类等项目。

2. 预测分析：
它需要对当前记录单元的统计数据进行某些操作，目的是找出一些新的特征和模式。然后使用这些趋势和模式来预测未来的结果和趋势。这样做的唯一目的是计算特定变量在未来时间因子的值。预测分析是加载的接近信息，而机器学习更多的是统计、编程和数学的组合。

机器学习和预测分析之间的区别：

S.No.	Machine Learning	Predictive Analytics
1.	It acts as an umbrella which covers different subfields including Predictive Analytics.	It is a subset of Machine Learning.
2.	Computer Science is the root of Machine Learning.	Its root is Statistics which plays important role in predictive analytics.
3.	It is in trend and latest technology as compared to Predictive Analytics.	It is not used much as compared to Machine Learning.
4.	To process task, it requires a lot of coding and a high amount of data as compared to Predictive Analytics.	To process task, it does not require a lot of coding compared to Machine Learning.
5.	Machine is responsible to take decision and process task without human intervention.	Human intervention is required to process a particular task.
6.	For solving a problem, there are various tools and languages are available such as Python, SaaS, etc.	To process task, there are various tools and languages are available such as Minitab, Excel, etc.
7.	Machine learning is very vast.	It is not very vast and has a limited area to look into.