FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
EL PAÍS English

How does artificial intelligence think? The big surprise is that it ‘intuits’

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...
Communications of the ACM

Building Intelligent Agents with Neuro-Symbolic Concepts

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
GitHub

NGO-Algorithm-Audit/python-synthpop

python-synthpop is an open-source library for synthetic data generation (SDG). The library includes robust implementations of Classification and Regression Trees (CART) and Gaussian Copula (GC) ...
GitHub

skybluejae126/Algorithm_Example_Python

[1_dataStructure_02_9093] (Date : 2024.10.30) / Source : https://www.acmicpc.net/problem/9093 [1_dataStructure_03_9012] (Date : 2024.10.30) / Source : https://www ...
IEEE

Demonstrating the Potential of Visualization in Education with the Manim Python Library: Examples from Algorithms and Data Structures

Abstract: Visualization is a powerful tool for learning and teaching complex concepts, especially in the field of computer science. However, creating effective and engaging visualizations can be ...