Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Dot Physics on MSN
Understanding line integrals in vector fields using Python and paper
Learn how to understand and compute line integrals in vector fields using both Python and traditional paper methods! This video walks you step by step through the concepts of line integrals, ...
Dot Physics on MSN
Learn to calculate area under curves numerically with Python
Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
This small library (and example application) provides an easy API for sending and receiving messages over mesh radios. It also provides access to any of the operations/data available in the device ...
Vulture finds unused code in Python programs. This is useful for cleaning up and finding errors in large code bases. If you run Vulture on both your library and test suite you can find untested code.
Abstract: To address the passability issues of a corner module architecture intelligent electric vehicle (CAV) on deep-potholed roads during emergency rescue operations, the motion posture control of ...
In the 'first wave' of synthetic biology, researchers developed basic elements and modules that allowed transcriptional, translational and post-translational control of cellular processes. The 'second ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results