Reporting with Power BI is very easy. You can use many different methods with regular monthly updates. In this series, we will be sharing monthly updates with you.
Overfitting In Machine Learning: Understanding And Avoiding It With Effective Techniques
Overfitting is a common problem in machine learning, where a model performs well on the training data but fails to generalize to new, unseen data. In other words, the model has learned the training data too well, and as a result, it fails to capture the underlying patterns in the data.
Data Architecture Modernization With Alışan Logistics
“In the modernization project of our data infrastructures, we quickly built the Synapse data warehouse environment with Trendify creating the data architecture suitable for our business processes. Currently, our reporting needs can be met from a single point within the company of Alışan Logistics. “
The Data Lakehouse architecture is an extremely well-performing technology that supports direct access data types, has first-level support for machine learning and data science but before talking more about Data Lakehouse architecture, we would like to briefly describe the structures used today with...
Overfitting In Machine Learning: Understanding And Avoiding It With Effective Techniques
Overfitting is a common problem in machine learning, where a model performs well on the training data but fails to generalize to new, unseen data. In other words, the model has learned the training data too well, and as a result, it fails to capture the underlying patterns in the data.
