Data Engineering & MLOps

Neural Networks are used when we have large amount of data, large dimension, and we are not sure what features affects the outcome. Many cases we need bunch of servers to train these neural networks, that's where we @ DataMaking can help you.

We can set up pipelines which can clean up, format the data and feed into frameworks like Spark, thus making it easy to scale. This ensures you can train and evaluate your prediction system with Terabytes of data with ease and within a short time.

Another thing we can do is to scale up the compute when training, and reduce it during evaluation and deployment. We have invested significantly into Spark and Dask, and hence could help your team build models with mountain loads of data without breaking a sweat.