Machine Learning Methods
Machine learning methods can be roughly categorized in three different areas in order to analyse big data. The figure below shows an overview of all the three different areas. Those machine learning methods can...
Author: www.big-data.tips
Prerequisites for Machine Learning
Prerequisites for machine learning are essentially three key elements followed by certain skills in order to get the most out of learning from big data. The first prerequisite is that there must be a...
Recurrent Neural Network
Recurrent Neural Network refers to a specific architecture of an artificial neural network that work well for arbitrary sequence datasets of big data. Such a Recurrent Neural Network (RNN) consists of cyclic connections that...
Long Short Term Memory
Long Short Term Memory (LSTM) represents a specific architecture of a recurrent neural network (RNN) that works well with big data. It is perfectly suited to model temporal sequences and long-range dependencies thus outperforming...
Long Short Term Memory Tutorial
Long Short Term Memory Tutorial offers a collection of rated resources and pieces of information about using this innovative deep learning technique in order to work with big data. The Long Short Term Memory...
Tensor Machine Learning
Tensor Machine Learning refers to a concept of using a multi-dimensional array when learning from big data in a specific way. More general information about a tensor can be found in our article What...
What is a Tensor
What is a Tensor is an often asked question whereby a short answer often used is that it is a multi-dimensional array used in big data analysis often today. In particular with deep learning...
AlexNet
AlexNet is considered as a standard architecture for a Convolutional Neural Network that is able to learn from big data. It is a relatively large CNN model with five convolution layers and three fully...
Neural Network Learning
Neural network learning is a well defined process but involved a wide variety of hyper-parameters in order to correctly learn from big data. More general information about the architectures and types of an artificial...
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...
