Evolution of Machine Learning
We all know that how Machine Learning Applications like “Google Car”, “Cyber Fraud Detection“ or any others are directly or indirectly getting involved in our day to day life. Before talking about Evolution of Machine Learning, we all must know the aim of Machine Learning. Then we should know how to evolve it.
The aim is a very important factor in each field so first of all, we have to understand what is the actual aim of Machine Learning :
It mainly focuses on the development of computer program that can access data and use it learn for themselves.
What is Machine learning?
Machine Learning is a science that gives an ability to the Machine(i.e. Computer systems or Software Applications) to become more accurate in predicting outcomes without being explicitly programmed.
Basic premises of Machine Learning is Algorithms or we can count that it is strongly related to computational statistics and Mathematical Algorithms to predict result within acceptable Range.
We are living in the world in which machine deliver recommendations to people to make a decision in a world of endless choices. with the help of machine learning, recruiters find best possible candidates for their positions. Machine Learning has revolutionized the ways in which businesses relate to its customers.
With the help of machine learning, people are finding exactly what they are looking for. Let’s Take an Example When you buy something online like Smartphone- and it will recommend that you also buy the “Smartphone cases” or the “Screen protector” this are the online websites recommendations. while viewing video’s on your Facebook feed, if you notice you can see the video’s recommendations related to your clicks and interests this is Machine Learning. Machine learning is the ability for computers to learn and act without being explicitly programmed.
Evolution of Machine Learning:
Big Data and Cloud Storage play a vital role to evolve a Machine Learning and its importance. It obviously questions arises that how??
The volume of data is too large for comprehensive analysis and the range of potential correlations and relationship between disparate data sources from back-end customer DB to live web-based click streams are too great for the analyst to test all hypotheses and derive all value buries in data.
Traditional analytics tools are not well suited to for capturing accurate data from big data.
Machine learning platform is ideal for exploiting the opportunities hidden in Big Data. Unlike Tradition data Analytics the Machine Learning iterate the more data fed into a system the more it can learn and apply the result to higher quality insights.
Certainly, today we are closer than ever and we are moving towards that goal with increasing speed. Please contact us or comment below if you have more thoughts about same topic.