Machine Learning
Our service offerings are aligned to the changing world of our customers. Our portfolio of services range from designing strategy to delivering impact.
Machine learning programs can perform tasks without being explicitly programmed to do so. It involves computers learning from data provided so that they carry out certain tasks. For simple tasks assigned to computers, it is possible to program algorithms telling the machine how to execute all steps required to solve the problem at hand; on the computer's part, no learning is needed. For more advanced tasks, it can be challenging for a human to manually create the needed algorithms. In practice, it can turn out to be more effective to help the machine develop its own algorithm, rather than having human programmers specify every needed step.
What do We offer?
Transform business processes into intelligent autonomous ones with the help of the machine learning services of Inbox Infotech. Offering both supervised, semi-supervised and unsupervised machine learning on structured and unstructured data, the services are aims at building, training, validating, the optimize, deploying, and testing machine learning models with the help of tools and technologies.
Why Choose This Service?
Simplify product marketing | Facilitate easier detection of spam | Accurate sales forecasts | Simplify data entry documentation | Customer segmentation | Upgrade precision pertaining to financial rules
How is machine learning different from deep learning?
Deep learning refers to a subfield of representation learning which a subfield of machine learning is. Deep learning, distinct from that machine learning extracts features automatically from the raw data and becomes efficient.
What is machine learning?
Machine learning is the system’s ability to comprehend a task without explicitly being programmed from a given data.
What are the four kinds of machine learning algorithms?
The four distinct kinds of machine learning algorithms are supervised algorithms, non-supervised algorithms, semi-supervised algorithms, and reinforcement learning algorithms