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md.ekstrandom.net | ||
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doughellmann.com
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| | | | | [AI summary] This book provides examples of using Python 3's Standard Library modules to enhance application development, covering topics like text processing, data structures, algorithms, and networking. | |
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blog.nelhage.com
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| | | | | I have spent many years as an software engineer who was a total outsider to machine-learning, but with some curiosity and occasional peripheral interactions with it. During this time, a recurring theme for me was horror (and, to be honest, disdain) every time I encountered the widespread usage of Python pickle in the Python ML ecosystem. In addition to their major security issues1, the use of pickle for serialization tends to be very brittle, leading to all kinds of nightmares as you evolve your code and... | |
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tomaugspurger.net
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| | | | | This work is supported by Anaconda, Inc. and the Data Driven Discovery Initiative from the Moore Foundation. This is part three of my series on scalable machine learning. Small Fit, Big Predict Scikit-Learn Partial Fit Parallel Machine Learning You can download a notebook of this post [here][notebook]. In part one, I talked about the type of constraints that push us to parallelize or distribute a machine learning workload. Today, we'll be talking about the second constraint, "I'm constrained by time, and would like to fit more models at once, by using all the cores of my laptop, or all the machines in my cluster". | |
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www.starburst.io
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| | | A Data lake is a cost effective storage technology designed to house large amounts of data from multiple sources in the cloud or on-prem. | ||
