Earlier in January 2026, FICO released version 9.8 of its FICO Xpress Optimization suite, integrating NVIDIA CUDA-X libraries ...
A big part of AI and Deep Learning these days is the tuning/optimizing of the algorithms for speed and accuracy. Much of today’s deep learning algorithms involve the use of the gradient descent ...
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Mini-batch gradient descent in deep learning explained
Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch ...
The Annals of Applied Probability, Vol. 27, No. 6 (December 2017), pp. 3255-3304 (50 pages) The asymptotic behavior of the stochastic gradient algorithm using biased gradient estimates is analyzed.
FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups. The hybrid gradient algorithm is useful for getting faster solutions to ...
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Linear regression using gradient descent explained simply
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
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