Bayesian network is a model used for studying different statistical information based on conditional probabilities. The model consists of nodes and edges, forming a tree that is important for establishing a conditional connection between all the nodes. Click to know more!
Machine learning involves processes used in data mining and predictive modeling. What’s common in all these is looking up into the data for patterns and also monitoring the program actions accordingly. Click to learn about 5 machine learning algorithms!
The regression tree is a type of decision tree. With the regression tree, a user can visualize each step to help with decision-making.
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!
Robotics and Artificial intelligence are two areas that are now undoubtedly the most actively developing fields of science and technology. Click to know more about them!
On 14th January 2011, a Jeopardy match was played between three players – two humans and IBM Watson. The winner was IBM Watson, which used data analytics and AI to beat humans. Click to know how exactly IBM Watson AI won Jeopardy!
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!
