What is the difference between tensorflow and pyspark?

What is the difference between tensorflow and pyspark?

Both are used to pre-process big data with distributed computing.
I don’t know the difference between the two frameworks. Why use pyspark for data preprocessing and analysis? Preprocessing with tensorflow was 30x faster.

@woker001,

Welcome to the Tensorflow Forum!

Tensorflow is an open-source machine learning framework that is used for building and training machine learning models where as PySpark is used for processing large-scale data sets.

Both have some overlapping functionality but they are fundamentally different tools designed for different purposes.

Thank you!