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...
Tagged: machine learning
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...
Generalization in Machine Learning
Generalization in Machine Learning is a very important element when using machine learning algorithms with big data. For example the key goal of a machine learning classification algorithm is to create a learning model...
Deep Learning vs Machine Learning
Deep learning vs machine learning is an interesting comparison but quite easy to understand even if both take advantage of big data equally today. Traditional machine learning applied feature engineering before modeling but this...
Machine Learning Applications
Machine learning applications can be found in a wide variety of application domains that take advantage of learning from big data. Applications in this area are given when the problem to be solved changed...
Spark Machine Learning
Spark machine learning algorithms are implemented in the machine learning library (MLlib) of Apache Spark that is able to handle Big Data. It is a scalable and parallel machine learning library with a number...
Convolutional Neural Network
A Convolutional Neural Network (CNN), also often called ConvNets, is a machine learning model that belongs to the field of deep learning. It works particularly well for big data especially for a large set...
Machine Learning
Machine learning refers to algorithms and techniques to learn from Big Data. It is used when there is not a direct mathematical formula to describe the data and there is an assumption that some...
