The MLOps Blog

JUNE 27, 2023

For example, if your team is proficient in Python and R, you may want an MLOps tool that supports open data formats like Parquet, JSON, CSV, etc., Model versioning, lineage, and packaging : Can you version and reproduce models and experiments? and Pandas or Apache Spark DataFrames. Can you render audio/video?

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Heartbeat

JUNE 12, 2023

Data Quality: The accuracy and completeness of data can impact the quality of model predictions, making it crucial to ensure that the monitoring system is processing clean, accurate data. Model Complexity: As machine learning models become more complex, monitoring them in real-time becomes more challenging.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Snorkel AI

MAY 12, 2023

Model-ready data refers to a feature library. For example, where verified data is present, the latencies are quantified. It enables users to aggregate, compute, and transform data in some scripted way, thereby promoting feature engineering, innovation, and reuse of data. It is essentially a Python library.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

Model-ready data refers to a feature library. For example, where verified data is present, the latencies are quantified. It enables users to aggregate, compute, and transform data in some scripted way, thereby promoting feature engineering, innovation, and reuse of data. It is essentially a Python library.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

The MLOps Blog

MARCH 15, 2023

If you will ask data professionals about what is the most challenging part of their day to day work, you will likely discover their concerns around managing different aspects of data before they get to graduate to the data modeling stage. How frequently you would require to transfer the data is also of key interest.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59