In machine learning, data quality isn't just a nice-to-have—it's make or break. Bad data can silently derail your models, leading to poor predictions, wasted resources, and lost trust. In this talk, we’ll explore how to bring data validation into your ML pipelines using three powerful open-source tools: Great Expectations, Deequ, and TensorFlow Data Validation. We'll look at how each tool helps...
power of Golang to streamline data transformation in AI workflows. With its high-performance concurrency and speed, Golang accelerates the preprocessing of large datasets, enabling faster, more efficient AI model training and real-time data processing boosting productivity.
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