The MLOps Blog

JANUARY 26, 2024

Related article How to Build ETL Data Pipelines for ML See also MLOps and FTI pipelines testing Once you have built an ML system, you have to operate, maintain, and update it. Some ML systems use deep learning, while others utilize more classical models like decision trees or XGBoost. All of them are written in Python.

Machine Learning 72

Machine Learning Machine Learning ML ML 72

Pickl AI

AUGUST 9, 2024

Data Warehousing Solutions Tools like Amazon Redshift, Google BigQuery, and Snowflake enable organisations to store and analyse large volumes of data efficiently. Students should learn about the architecture of data warehouses and how they differ from traditional databases.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

APRIL 26, 2024

What are the advantages and disadvantages of decision trees ? Advantages: It is easy to interpret and visualise, can handle numerical and categorical data, and requires fewer data preprocessing. Data Warehousing and ETL Processes What is a data warehouse, and why is it important?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52