Causal Inference Techniques for ML
In the world of machine learning, we often train models to find patterns and correlations in data.
Top Big Data Companies - Page 2
Advanced Hyperparameter Tuning Methods
In machine learning, a model's performance is not just a function of its algorithm and data.
Data Validation for Machine Learning
In the world of machine learning, a lot of attention is paid to a model's complexity, its architecture, and its performance metrics.
Model Compression via Knowledge Distillation
In the world of deep learning, bigger is often better.
Modern Open-Source Data Stack Architecture
The way companies handle data has changed dramatically.
Implementing Real-Time CDC with Debezium
In the past, data processing was often done in batches, a nightly or hourly job that would move data from one system to another.
Comparing OLAP Databases for Analytics
In today's data-driven world, the ability to quickly analyze vast quantities of data is a major competitive advantage.
Managing Schema Evolution in Data Lakes
In an ideal world, data would flow into our systems with a perfectly consistent structure.
