I'm trying to understand why machine learning can be so costly. I know it involves complex algorithms and large datasets, but what are the specific factors that drive up the price?
7 answers
emma_anderson_scientist
Mon Nov 11 2024
Machine learning (ML) incurs significant expenses when implemented on a large scale.
Daniele
Mon Nov 11 2024
The primary reason for this is the immense computational power needed to process and analyze vast amounts of data.
GyeongjuGloryDaysFestivalJoy
Mon Nov 11 2024
High-performance computing resources are essential to handle complex algorithms and models used in ML.
Gianluca
Mon Nov 11 2024
Additionally, the requirement for large volumes of high-quality data adds to the overall cost.
BitcoinBaroness
Sun Nov 10 2024
Collecting, cleaning, and preparing this data for ML models is a resource-intensive process.