USE OF LINEAR ALGEBRA AND PARTIAL DERIVATIVES IN SUPERVISED LEARNING (ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING)When we talk about new technologies and the advancement in the field of Computer Science, the first thing that comes to our mind is Artificial Intelligence and Machine Learning. Artificial...
Ambainis, A.: Variable time amplitude amplification and quantum algorithms for linear algebra problems. In: STACS’12 (29th Symposium on Theoretical Aspects of Computer Science), vol. 14, pp. 636–647. LIPIcs (2012). https://bit.ly/3IldDGR Andersen, E.D., Roos, C., Terlaky, T., ...
MIT18.06: Linear Algebra 🌟🌟🌟Think you have already been expert in these three courses ? Trust me, spend some time reading the course notes, it will deepen your understanding !1.2 Basics of Information theoryCourse LinkDifficulty MIT6.050J: Information theory and Entropy 🌟🌟This...
in particular Large Language Models (LLMs), has resulted in considerable public discourse [30]. Technical universities, often at the forefront of technological evolution, are facing unique challenges and opportunities integrating the widespread availability and rapid improvement...
In the case of linear regression, the coefficients can be found by least squares optimization, which can be solved using linear algebra. In the case of logistic regression, a local search optimization algorithm is commonly used. It is possible to use any arbitrary optimization algorithm to train...
Linear Algebraa free book by Jim Hefferon Seeing Theory- A visual introduction to probability and statistics Questionable Conferences and Predatory Publishers Edsger Dijkstra - The Man Who Carried Computer Science on His Shoulders Panel discussion on programming language designwith Guido van Rossum, James...
TensorFlow and PyTorch are direct competitors because of their similarity. They both provide a rich set of linear algebra tools, and they can run regression analysis. Scikit-learn has been around a long time and would be most familiar to R programmers, but it comes with a big caveat: it is...
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The Lean mathematical library Mathlib features extensive use of the typeclass pattern for organising mathematical structures, based on Lean’s mechanism of instance parameters. Related mechanisms for typeclasses are available in other provers including Agda, Coq and Isabelle with varying degrees of adopt...
Coding games are widely used to teach computational thinking (CT). Studies have broadly investigated the role of coding games in supporting CT learning in