Posted on 2020-11-06
Machine Learning is a subset of Artificial Intelligence that allows an application to learn from sets of data to function as opposed to the traditional programming wherein an application is programmed to perform functions. In Machine Learning, the algorithm is derived from the output of training data. There are different approaches to train a model in Machine Learning, and it depends on the business problems that it is trying to solve.
There are different categories in machine learning and for this blog, we will just focus on the two:
Posted on 2020-11-04
At the start of pandemic, a lot of companies had quickly turned to technologies to continue to operate. The use of video conferencing and other collaboration tools were quickly implemented in most of the workplaces with remote work arrangements and social distancing protocols imposed as a result of the effect of the COVID-19 outbreak.
This global health crisis brought radical change and with no immediate end in sight. Companies found the need now to accelerate their Digital Transformation effort. It has become imperative now for small to medium size enterprises to look into digitization of their operations to continue to thrive whereas previously Digital Transformation was seen as a cost not an investment for future growth.
Here are some prRead More
Posted on 2020-09-01
In a nutshell, Machine Learning is an application of Artificial Intelligence wherein machines are trained through the use data and analyze it to produce an output. The input data that can be fed to a system can be as simple as providing a set of features to define what an object is or as complex as a recommendation algorithm that gather users’ behaviour overtime to push information relevant to them as used by businesses for marketing.