9 relations: Deeplearning4j, Dimensionality reduction, HeuristicLab, Nonlinear dimensionality reduction, Outline of machine learning, Perturb-seq, Single-cell transcriptomics, Tag cloud, Word embedding.
Eclipse Deeplearning4j is a deep learning programming library written for Java and the Java virtual machine (JVM) and a computing framework with wide support for deep learning algorithms.
In statistics, machine learning, and information theory, dimensionality reduction or dimension reduction is the process of reducing the number of random variables under consideration by obtaining a set of principal variables.
HeuristicLab is a software environment for heuristic and evolutionary algorithms, developed by members of the at the.
High-dimensional data, meaning data that requires more than two or three dimensions to represent, can be difficult to interpret.
The following outline is provided as an overview of and topical guide to machine learning: Machine learning – subfield of computer sciencehttp://www.britannica.com/EBchecked/topic/1116194/machine-learning (more particularly soft computing) that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.
Perturb-seq (also known as CRISP-seq and CROP-seq) refers to a high-throughput method of performing single cell RNA sequencing (scRNA-seq) on pooled genetic perturbation screens.
Single-cell transcriptomics examines the gene expression level of individual cells in a given population by simultaneously measuring the messenger RNA (mRNA) concentration of hundreds to thousands of genes.
A tag cloud (word cloud, or weighted list in visual design) is a novelty visual representation of text data, typically used to depict keyword metadata (tags) on websites, or to visualize free form text.
Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.