Machine Learning Models

Why Data Annotation is Important for Machine Learning?

Data Annotation is the process of attaching labels to datasets that are used for training machines. About 80% of Artificial Intelligence project development time is spent on data preparation. The success of any AI or Machine Learning project is directly proportional to the quality of the annotated data fed to the algorithms for training them. […]

What is Training Data?

Machines are replacing humans in routine and manual jobs because of the faster processing speed and storing knowledge advantage they have over humans. One can even leverage their speed and turn them into intelligent machines. Here is where the Training data comes into the picture. By feeding them with relevant data, machines can be trained […]

7 Artificial Intelligence Predictions for 2019

Artificial Intelligence (AI) hogged the limelight in the year 2018 by successfully automating more functionalities. The general public has been receptive to interacting with the machines daily and more companies have started exploring the various AI applications. In 2019, the stage is set for AI to transform the society, add spark to discussions and give […]