Welcome to the Supervised Learning and Its Applications in Marketing course! Supervised learning is the process of making an algorithm to learn to map an input to a particular output. Supervised learning algorithms can help make predictions for new unseen data. In this course, you will use the ...
Welcome to Supervised Learning, Tip to Tail! This week we'll go over the basics of supervised learning, particularly classification, as well as teach you about two classification algorithms: decision trees and k-NN. You'll get started programming on the platform through Jupyter notebooks and star...
We are working with 3 of the top 10 quantitative hedge funds, and with many mid-sized and boutique firms. Our platform leverages diverse data sources and innovative algorithms to deliver actionable insights that drive smarter investment decisions. By joining Sov.ai, you'll be part of a dynamic...
shark - A fast, modular, feature-rich open-source C++ machine learning library. Shogun - The Shogun Machine Learning Toolbox. sofia-ml - Suite of fast incremental algorithms. Stan - A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampli...
8923 COMPARATIVE STUDY OF TOKENIZATION ALGORITHMS FOR END-TO-END OPEN VOCABULARY KEYWORD DETECTION 8418 COMPARING AND COMBINING AUDIO PROCESSING AND DEEP LEARNING FEATURES FOR CLASSIFICATION OF HEARTBEAT SOUNDS 7423 Comparing data-driven and handcrafted features for dimensional emotion recognition 7402 COMPARI...
This notebook showcases 4 different algorithms: Face Detection, Content Summarizer, Latent Dirichlet Allocation and Optical Character Recognition.notebook-installationanacondaAnaconda is a free distribution of the Python programming language for large-scale data processing, predictive analytics, and scientific...
半监督/自监督学习 | Semi/Self-Supervised Learning 对比学习 | Contrastive Learning 表示学习 | Representation Learning (Embedding) 度量学习 | Metric Learning 强化学习 | Reinforcement Learning 迁移学习 | Transfer Learning 元学习 | Meta-learning
Semi-supervised ranking is a relatively new and important learning problem. Some semi-supervised learning to rank algorithms have been proposed by adapting existing pair-wise ranking algorithms into the semi-supervised setting. In contrast, there is comparatively little work in developing semi-supervised...
1000- autonomous-learning-library: 用于建立深度强化学习代理的 PyTorch 库。 1000- flambe: 一个用于加速研究及其生产路径的ML框架。https://flambe.ai 1000- pytorch-optimizer: Collections of modern optimization algorithms for PyTorch, includes: AccSGD, AdaBound, AdaMod, DiffGrad, Lamb, RAdam, RAdam, Yo...
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, ... VS Lalapura,VR Bhimavarapu,J Amudha,... - 《Algorithms》 被引量: 0发表: 2024年 Survey on Machine Learning in Speech Emotion Recognitio...