Machine Learning in Pharo
List of projects, books, booklets, papers, and applications related to machine learning, AI, data science in Pharo – GitHub – pharo-ai/awesome-pharo-ml: List of projects, books, booklets, papers, a…
Read more »Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book
Machine Learning with PyTorch and Scikit-Learn has been a long time in the making, and I am excited to finally get to talk about the release of my new book. …
Read more »Machine Learning for Kids (using Skittles candy)
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Read more »SmartSim: Machine Learning for HPC Simulations (v0.4.0 release)
SmartSim Infrastructure Library. . Contribute to CrayLabs/SmartSim development by creating an account on GitHub.
Read more »Lambda’s Machine Learning Infrastructure Playbook and Best Practices
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Read more »Machine Learning Is Still Too Hard for Software Engineers
For a software engineer, the hardest thing about developing Machine Learning functionality should be finding clean and representative ground-truth data, but it often isn’t. If you already have a source of good quality data (perhaps because it is already g…
Read more »Transparency of Artificial Intelligence/Machine Learning-enabled Medical Devices
The role of transparency that enhances trust and safe use of AI/ML-enabled devices will be discussed, with an emphasis on information sharing methods.
Read more »Inverse Design of Inflatable Soft Membranes Through Machine Learning
Soft devices that can shape morph in response to an external stimulus are becoming increasingly popular across many fields of science. Here, a platform that allows programmable transformation of 2D s…
Read more »Survey: Machine Learning Algorithms for Detecting Ransomware Encryption Activity
A survey of machine learning techniques trained to detect ransomware is presented. This work builds upon the efforts of Taylor et al. in using sensor-based methods that utilize data collected from built-in instruments like CPU power and temperature monito…
Read more »Machine Learning Street Talk Podcast
Welcome! We at MLST are inspired by scientists and engineers and each week we have a hard-hitting discussion with the leading thinkers in the AI space. Street Talk is unabashedly technical and non-commercial, so you will hear no annoying pitches. Corporat…
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