Nacho ZobianinPython in Plain EnglishLeveraging Advanced Data Management and Experimentation Techniques in MLOpsIntroduction: The Importance of Advanced Data Management in MLOpsMay 13May 13
Nacho ZobianinPython in Plain EnglishInsights from a Study on Next-Generation Activation Functions for Neural NetworksIn deep learning, the continuous improvement of neural network components is crucial. I recently explored an insightful study that…May 8May 8
Nacho ZobianinPython in Plain EnglishKolmogorov-Arnold Networks: A Leap Forward in Neural Network DesignMay 4May 4
Nacho ZobianinPython in Plain EnglishAdvanced Strategies in MLOps for Model Optimization and Fine-TuningExplore advanced MLOps strategies for model optimization and fine-tuning using hyperparameter tuning, model pruning, AutoML, and Kubeflow.Apr 18Apr 18
Nacho ZobianinPython in Plain EnglishKubeflow: A Practical Guide with Code ExamplesWelcome to our next step in the MLOps journey, where we introduce Kubeflow, complete with practical code examples to empower your ML…Mar 23Mar 23
Nacho ZobianinPython in Plain EnglishMLOps: an Easy ExplanationIn today’s data-driven world, machine learning (ML) has emerged as a powerful tool for extracting insights and making predictions from vast…Mar 17Mar 17
Nacho ZobianinPython in Plain EnglishAgile Testing in PythonHello again! Today we’re embarking in a new journey on Agile Testing, a key part of software development often disregarded.Mar 41Mar 41
Nacho ZobianinPython in Plain EnglishAccelerating Data Preparation with cuDFWelcome to our comprehensive exploration of cuDF, the Python GPU DataFrame library that’s reshaping the landscape of data preparation…Feb 27Feb 27
Nacho ZobianRAG in LLMs: A Comprehensive ExplorationThe rise of transformers and self-attention mechanisms has reshaped the way machines comprehend language.Feb 52Feb 52