Confusion Matrix is a great tool to measure the performance of a classifier, be it a binary classifier or a multi-class classifier. Click to know more!
Data Lifecycle Management, also called as DLM, is a set of processes used to administer the data of the company from its definition to its withdrawal. It is a series of steps that the corporates apply in order to create, maintain and access their data. Click to know more about corporate life cycle and data!
Data science and artificial intelligence are creating buzz in today’s world. Most companies, including non-technology companies, are opening a separate department for data science and artificial intelligence for their organization to achieve a competitive advantage over others. Click to know more!
Sparse data is called so because the entire information that it represents is rare. This then turns to make the information very valuable for all the business owners. Click to know what is sparse data!
A Sparse Matrix is a matrix that is generally comprised of the zero values, and are distinct from matrices that have non zero values, which are then called as a dense. Click to know more about Sparse matrices!
Data governance is managing all the data of the organization. As most of the business decisions are based on the data and consumer behavior, it is important to manage the data carefully and efficiently. Click to know about the 5 most helpful data governance tools!
Plotting graphs from tabular data is commonly done in data analytics. It gives a better interpretation of the tabular data and also gives insights into interesting properties related to the data. Click to know how to make an R plot table!
Database testing is generally considered to be the most important part of testing that helps in checking the overall functionality of the specific software. Click to know more about database testing!
Forest data structure finds great use in Computer Science. It is always advisable to have a basic knowledge about it so that you can easily relate many technical papers and articles. Click to know more about the forest data structure!
The basis of data mining methods is all sorts of methods of classification, modeling and forecasting, based on the use of decision trees, artificial neural networks, genetic algorithms, evolutionary programming, associative memory, fuzzy logic. Click to know about 5 must-know data mining techniques!