Big Data refers to humongous volumes of data that cannot be processed effectively with the traditional applications that exist. Anantics brings expertise in Big Data solutions design and implementation, and helping our customers in delivering the values for data perspective.
With a rich heritage from information management and analytics, we bring Big Data Technology as a Software-Utility that is designed to Analyze, Process and Extract the information from an extremely complex and large data sets which the Traditional Data Processing Software could never deal with.
Anantics brings content mining and analytics solution, which transforms complex and time-consuming manipulation of large-scale data resources into a fast and intuitive process.
Data is one of the important features of every organization because it helps business leaders to make decisions based on facts, statistical numbers and trends. Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.
Our data scientist address the exploration of data sets with different quantitative methods motivated from statistical modelling.
Machine learning algorithms find natural patterns in data that generate insight and help you make better decisions and predictions. They are used every day to make critical decisions in medical diagnosis, stock trading, energy load forecasting, and more.
Representation: how to represent knowledge. Examples include decision trees, sets of rules, instances, graphical models, neural networks, support vector machines, model ensembles and others.
Evaluation: the way to evaluate candidate programs (hypotheses). Examples include accuracy, prediction and recall, squared error, likelihood, posterior probability, cost, margin, entropy k-L divergence and others.
Optimization: the way candidate programs are generated known as the search process. For example combinatorial optimization, convex optimization, constrained optimization.
We understand that each client’s requirement is unique in a way, so please contact us at email@example.com to start the communication.