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!