Tag: deep learning

Deep Learning: Techniques to Avoid Overfitting and Underfitting

Machine Learning is all about striking the right balance between optimization and generalization. Optimization means tuning your model to squeeze out every bit of performance from it. Generalization refers to making your model generic enough so that it can perform…

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Using AI for database administration automation – extracting useful information from log files

When talking about automation for Oracle Database Administration, besides automation of software installation and patching, with the use of techniques from machine learning, we can also try to automate a few other tasks. This is especially true since it is…

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A comparative analysis of Amazon SageMaker and Google Datalab

Amazon SageMaker and Google Datalab have fully managed cloud Jupyter notebooks for designing and developing machine learning and deep learning models by leveraging serverless cloud engines. However, as much as they have in common, there are key differences between the…

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Supervised machine learning: a conversational guide for executives and practitioners

This post gives a systematic overview of the vital points to consider when building supervised learning models. We address in Q&A style some of the key decisions/issues to go over when building a machine learning/ deep learning model. Whether you…

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Demystifying deep learning

Learning is a non-trivial task. How we learn deep representations as humans are high up there as one of the great enigmas of the world. What we consider trivial (and to some others natural) is a complex web of fine-grained…

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