Machine Learning
MLOps: Bridging the Gap Between Development and Operations
MLOps is basically DevOps but with extra headaches. It’s about automating the entire ML lifecycle: from data ingestion to model training to deployment an…
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Machine Learning
Machine Learning
Version Control for Data and Models: DVC and Git
Git is great for code, but what about your 50GB dataset? Or the 100 different model versions you trained? I learned the hard way when I accidentally overwr…
Machine Learning
Cloud Computing for ML: AWS, GCP, or Azure?
At some point, your laptop won’t be enough. Training a deep learning model on a CPU is like trying to dig a pool with a spoon. I had to make the jump to…