Predictive Analytics is a concept that has been in existence longer than machine learning. It is more likely to merge with machine learning in the future since machine learning is new, adaptive, and has more flexibility when it comes to solving problems. Predictive analytics has an intended audience while machine learning does not. The two are useful concepts that make predictions on data. In this article, we will help you make sense of these two critical tools.
Predictive Analytics utilizes predictive modeling which can also incorporate machine learning. It usually has a specific purpose which is to use historical data to foretell the likelihood of a future event happening. Predictive analysis is used in conjunction with machine learning. Predictive analysts look at machine learning as being a tool of their practice. They use machine learning to offer answers with confidence to more complicated problems. They offer answers to questions that have persisted over time. They also explore a new and different set of problems.
Machine learning is different when compared to predictive analytics. It is used to conduct statistical analysis and uses its learning feature to fine-tune the model parameters to fit data.
Companies that use machine learning include Google, Microsoft, and Amazon among others. They use machine learning in their social media services, online customer support, product recommendations, video surveillance, predictions, and malware filtering.
It is difficult to tell which of the two is the best for business as it all depends on where they are used. Predictive analysis is used to help brands to engage and identify a suitable market for their products and services. Machine learning is used to locate security risks and possible threats. It is also used to evaluate consumer behavior and establish the speed up of product discovery.
Predictive analytics makes use of advanced mathematics to evaluate patterns in the present and past data to predict the future. Machine learning automates predictive modeling by initiating algorithms to examine data patterns and behavior.
We hope that you are now able to tell which one is the better tool between predictive analytics and machine learning