Machine-Learning-Programming-EPFLSu**us 上传89.41 MB 文件格式 zip 经典的机器学习算法通常包括线性回归、逻辑回归、决策树、支持向量机和k近邻算法。线性回归通过拟合数据点和目标变量之间的线性关系来预测连续值。逻辑回归则用于二元分类,基于输入特征对实例进行分类。决策树是一种树形结构,通过一系列决策节点将数据...
Collobert R, Bengio S, Mariethoz J (2002) Torch: a modular machine learning software library (no. epfl-report-82802). Technical report, IDIAP Collobert R, Kavukcuoglu K, Farabet C (2011) Torch7: a MATLAB-like environment for machine learning. In: BigLearn, NIPS workshop, EPFL-CONF-192...
University Munich with an emphasis on optimization. He joined The Mathworks in 2012 and works as an application engineer. His focus areas include Mathematics and data analytics, Machine & Deep Learning as well as the integration of MATLAB software components in other programming languages and ...
Kim HC, Aich S, Hui KL, Al-Absi AA, Sain M (2019) A supervised machine learning approach using different feature selection techniques on voice datasets for prediction of Parkinson’s disease. In: 2019 21st International Conference on Advanced Communication Technology (ICACT), (pp 1116–1121) K...
(EPFL). He currently heads data sciences R&D at Walmart Labs, India. He has spent the last eighteen years creating intellectual property and building data-based products in Industry and academia. In his current role, he heads machine learning platform development and data science foundation teams...
A comprehensive introduction to the fundamentals of machine learning is also provided, including open-source databases, feature engineering, machine learning algorithms, and analysis of machine learning model. Afterwards, the latest progress in data-driven materials science and engineering, including ...
which uses as input the chemical composition. The Automatminer then returns the best featurization and model among those that are implemented using automated machine learning with genetic programming (as implemented in the TPOT package61). We additionally tested a neural network, CrabNet (red line,...
as well as EPFL. The university in Lausanne. And we put our heads together and looked at specifically the question of generality. So, how can we create a benchmark that would push the research towards learning approaches that would learn not just to perform well on a single task wit...
A common way to distribute the learning task is through the An early version of this paper [23] appeared in the 39th Symposium on Principles of Distributed Computing (PODC), 2020. B Arsany Guirguis arsany.guirguis@epfl.ch 1 School of Computer and Communication Sciences (IC), Ecole ...
Fig. 1: Examples of research acceleration by machine learning-based systems in animal ecology. aThe BirdNET algorithm61was used to detect Carolina wren vocalizations in more than 35,000 h of passive acoustic monitoring data from Ithaca, New York, allowing researchers to document the gradual reco...