Big Data Mining & Machine Learning

Category: Big Data Analytics

Snake Make Snakemake Workflow Management Tool Workflow Engine Data Analysis Bioinformatics Python Reproducibility Scalability Portability Cloud Grid Cluster

Big Data Analytics

Snake Make

Snake Make is a workflow management system used for reproducible and scalable big data analysis. It is often used in bioinformatics, but can be used also in other application areas. It is a user-friendly...

Euler Equation Fluid Dynamics Eulerian Functions Materials Fluids Liquids Velocity Pressure Density Kinematic Viscosity External Forces Navier-Stokes Model

Big Data Analytics

Euler Equation

Euler equation refers actually to a set of equations named after Leonhard Euler. These equations are used in physical sciences in the field of fluid dynamics. They are also known as Eulerian functions of...

Physical System Deep Learning Complex Physics Functions Physical Functions Continuous Models Numerical Methods Known Physical Laws Simulations Scales

Big Data Analytics

Physical System

Physical system means that data and variables that are used to describe real world physical systems often take the form of complex physics functions with high dimensionality. Often continuous models are used to describe...

Deep Learning in Physics Data-Driven Inference Temporal Evolution Physical Functions Systems Long Short Term Memory Convolutional Neural Network Fluid Flow

Big Data Analytics

Deep Learning in Physics

Deep learning in Physics refers to the use of deep learning models with big data in context of physical functions or systems. Please refer to our article on describing a physical system for more...

Qubit Quantum Bit Quantum Computing Quantum Computer Superposition Entanglement Quantum Systems Electron Nucleus Calculations Decoherence Encryption States

Big Data Analytics

Qubit

Qubit or quantum bit refers to a key element in a new form of computing called quantum computing that is useful when processing big data. Please refer to our article on quantum computing for...

Quantum Computing Quantum Computer Qubit Quantum Bits Superposition Entanglement Quantum Systems Electron Nucleus Calculations Decoherence Encryption

Big Data Analytics

Quantum Computing

Quantum computing refers to a new form of computing that can be beneficial to process big data in general and within machine learning algorithms in particular. The key element of quantum computers are based...

Deep Learning AMI Amazon Machine Image Amazon Web Services Elastic Compute Cloud EC2 TensorFlow PyTorch MXNET CNTK Caffe Chainer Theano cuDNN CUDA Keras

Big Data Analytics

Deep Learning AMI

Deep Learning AMI is one specific type of an Amazon AMI that offers a pre-configured setup of known deep learning tools to be used with big data in Amazon Web Services (AWS) clouds. Deep...

Amazon AMI AWS EC2 Amazon Web Services Elastic Compute Cloud Amazon Machine Image Instance Deep Learning TensorFlow Keras PyTorch MXNet CNTK Chainer Caffe

Big Data Analytics

Amazon AMI

Amazon AMI refers to an Amazon Machine Image (AMI) template that consists of specific software configurations including an operating system. An AMI template can be used to launch a machine image instance using Amazon...

GPU Memory Graphics Processing Unit Device Memory Host Memory Transfer Problem Big Data Tips Tools Analysis Analytics Algorithms Classification Clustering

Big Data Analytics

GPU Memory

GPU memory is essential for the understanding why Graphics Processing Units (GPUs) are so successful to tackle big data problems. A more general information about the architecture can be obtained from our article on...

Descriptive Analytics Descriptive Modeling Descriptive Model Explanatory Machine Learning Big Data Tips Tools Analysis Analytics Algorithms Classification

Big Data Analytics

Descriptive Analytics

Descriptive Analytics refers to a technique that uses descriptive modeling with big data. In this context a machine learning model serves as an explanatory tool in order to distinguish between data objects.. This analytics...