Word2vec
Word2vec: Word2vec is a technique used to create a “word embedding”, which is a vector representation of a word. This can be used to better understand the relationships between words, as well as to train machine learning models.
Word2vec: Word2vec is a technique used to create a “word embedding”, which is a vector representation of a word. This can be used to better understand the relationships between words, as well as to train machine learning models.
Definition of Kurtosis Kurtosis: A measure of the peakedness or flatness of a distribution, Kurtosis is determined by calculating the fourth moment of the distribution about its mean. Distributions with high kurtosis are more peaked than those with low kurtosis, while distributions with low kurtosis are more spread out. How is Kurtosis used? Kurtosis is…
Definition of PageRank PageRank is a link analysis algorithm created by Google co-founder Larry Page. It assigns a numerical weight to each page in order to determine its importance within the web. The algorithm is based on the idea that important pages will be linked to by other important pages.
Bayes’ Theorem is a mathematical formula that calculates the likelihood that a particular event will happen, based on the conditional probability of that event occurring, given that some other event has…
Definition of Mean Mean: Mean is a mathematical calculation used to calculate the average of a set of numbers. How is the Mean used? The Mean is a statistical measure used in data analysis and machine learning to evaluate the central tendency of a given set of numerical values. It is calculated by adding up…
Definition of HDFS HDFS: HDFS (Hadoop Distributed File System) is a distributed file system that enables high throughput access to data across large clusters of commodity servers. HDFS is designed to scale to support very large data sets up to petabytes in size. What is a HDFS used for? HDFS, or Hadoop Distributed File System,…
Definition of Predictive Analytics Predictive analytics is the practice of using data mining and machine learning techniques to make predictions about future events. Predictive analytics can be used to predict things such as how likely a customer is to churn, or what the probability is that a particular disease will occur in a population.