Tag: Data science
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Federated Learning: Challenges, methods, and future directions
Posted on November 12, 2019, Level beginner Resource Length medium
What is federated learning? How does it differ from traditional large-scale machine learning, distributed optimization, and privacy-preserving data analysis? Learn from the blog post by Carnegie Mellon University.
Tags machine-learning big-data data-science
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Using Tableau with Kafka: How to build a real-time SQL dashboard on streaming data
Posted on November 9, 2019, Level intermediate Resource Length medium
Scott Morris, Software Engineer at Rockset wrote this piece about building a real-time dashboard for operational monitoring and analytics on streaming event data from Kafka, which often requires complex SQL, including filtering, aggregations, and joins with other data sets.
Tags big-data data-science software-architecture apache
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Gentle introduction to Monte Carlo sampling for probability
Posted on November 4, 2019, Level intermediate Resource Length long
Jason Brownlee wrote this piece about Monte Carlo. Monte Carlo methods are a class of techniques for randomly sampling a probability distribution.
Tags big-data data-science machine-learning miscellaneous python
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Mocking is catching
Posted on November 1, 2019, Level intermediate Resource Length medium
When writing unit tests for a package, you might find yourself wondering about how to best test the behaviour of your package or you might even wonder how to test at least part of that package of yours that calls a web API or local database… without accessing the web API or local database during testing. By R-hub blog.
Tags programming tdd big-data data-science
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Keras vs tf.keras: What's the difference in TensorFlow 2.0?
Posted on October 27, 2019, Level intermediate Resource Length short
In this tutorial we will discover the difference between Keras and tf.keras (tf - TensorFlow), including what's new in TensorFlow 2.0. By Adrian Rosebrock.
Tags big-data data-science software machine-learning
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6 step field guide for building Machine Learning projects
Posted on September 30, 2019, Level intermediate Resource Length long
Daniel Bourke is author of this piece about what to do if you have data and want to know how you can use machine learning with it.
Tags big-data data-science miscellaneous
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Deep learning with Electronic Health Record (EHR) systems
Posted on September 26, 2019, Level intermediate Resource Length long
Goku Mohandas wrote this comprehensive look at recent machine learning advancements in health. There exists source of data, beyond imaging studies, that can change the way we approach health: the electronic health record (EHR).
Tags big-data data-science data-science machine-learning analytics
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Deep learning with Electronic Health Record (EHR) systems
Posted on September 26, 2019, Level intermediate Resource Length long
Goku Mohandas wrote this comprehensive look at recent machine learning advancements in health. There exists source of data, beyond imaging studies, that can change the way we approach health: the electronic health record (EHR).
Tags big-data data-science data-science machine-learning analytics
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Pytorch vs. Tensorflow: which framework is best for your deep learning project?
Posted on September 7, 2019, Level beginner Resource Length long
Written by Vihar Kurama. Author takes a look at two popular frameworks and compares them: PyTorch vs. TensorFlow.
Tags big-data programming data-science python miscellaneous
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A beginner's guide to natural language processing
Posted on July 23, 2019, Level beginner Resource Length medium
An article by M. Tim Jones about how natural language processing can help you to converse more naturally with computers.
Tags software big-data data-science machine-learning
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Processing satellite image collections in R with the gdalcubes package
Posted on July 19, 2019, Level intermediate Resource Length long
Marius Appel wrote this piece about processing satellite image collections. This blog post introduces the gdalcubes R package, aiming at making the work with collections and time series of satellite imagery easier and more interactive.
Tags programming data-science big-data
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How a quantum computer could break 2048-bit RSA encryption in 8 hours
Posted on July 13, 2019, Level beginner Resource Length short
A new study shows that quantum technology will catch up with today's encryption standards much sooner than expected. That should worry anybody who needs to store data securely for 25 years or so. Article open MIT Technology review (technologyreview.com) site.
Tags infosec data-science machine-learning