分清big data,ML,AI之间的关系_data ml

How are big data and machine learning related?（大数据与机器学习间关系）

下面是回答：
1.
Big data and machine learning are not related, but when used together can do real wonder. （没有直接联系，但是在一起效果更好）

Machine Learning & Big Data: The learning comes from extensive calculations done over existing datasets to create a learning model(in most cases). A normal system can’t handle very large dataset calculation and data size is increasing day by day, thus the obtained model should be adapted accordingly. To obtain this we have to implement distributed computing using big data technologies like Apache Mahout, Spark, R-Hadoop or initial analytics processing in projects like hive/ pig and feed output to machine learning algorithms for model/ learning generation.（机器学习需要对已经存储的数据集进行广泛计算进而产生学习模型。但是常规的系统不能处理大量的数据集，并且数据大小与日俱增，随着时间推移，已经得到的模型需要进行更新。为了达成这个目标，我们需要用分布式计算，利用大数据的技术，来产生模型和机器学习算法。）

2.
You can apply machine learning algorithms to big data and/or you can apply big data processing techniques to machine learning.（两种技术可以相互渗透）

An example of the first case would be training a neural network or logistic regression with a large dataset using online gradient descent.（在大数据集上用在线梯度下降来训练神经网络或逻辑回归）

An example of the secon