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Machine Learning: The High Interest Credit Card of Technical Debt – Google AI
Machine learning offers a fantastically powerful toolkit for building complex systems quickly. This paper argues that it is dangerous to think of these quick wins as coming for free. Using the framework of technical debt, we note that it is remarkably easy to incur massive ongoing maintenance costs at the system level when applying machine learning. The goal of this paper is highlight several machine learning specific risk factors and design patterns to be avoided or refactored where possible. These include boundary erosion, entanglement, hidden feedback loops, undeclared consumers, data dependencies, changes in the external world, and a variety of system-level anti-patterns.
machinelearning  ml 
2 days ago by euler
Ten Machine Learning Algorithms You Should Know to Become a Data Scientist - ParallelDots
Machine Learning Practitioners have different personalities. While some of them are “I am an expert in X and X can train on any type of data”, where X = some algorithm, some others are “Right tool for the right job people”. A lot of them also subscribe to “Jack of all trades. Master of one” strategy, where they have one area of deep expertise and know slightly about different fields of Machine Learning. That said, no one can deny the fact that as practicing Data Scientists, we will have to know basics of some common machine learning algorithms, which would help us engage with a new-domain problem we come across. This is a whirlwind tour of common machine learning algorithms and quick resources about them which can help you get started on them.
algorithms  machinelearning 
2 days ago by euler
RLN keras tutorial
This is a quick tutorial of the use of the Keras RLN implementation.
First, let's import and create the train and test set. In this tutorial, we're using the Boston housing price regression dataset, with additional noise features.
Statistics  MachineLearning  NeuralNetworks  DeepLearning  keras  regularization 
2 days ago by csantos
Dask-ml makes it easy for data scientists to scale workloads from their laptops to thousands of no…
machinelearning  from twitter_favs
2 days ago by rukku

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