How Data Science Can Be Applied To Machine Learning - A Boom in Data Analytics

摘要

Intelligent computing technologies invented by human, have reached and jumped over the level of human accuracy level with time. Intelligence software on machine learning like Image recognition systems have reached the accuracy level from 72% to 96% from 2010 to 2015. ML is a technology that works at the crossroads of data science, computer science and statistics as shown in figure 1. As a result, it is using essentials of all the three fields, collects, learn from data & patterns based on it for future predictions and action to be taken. Almost every field in our daily life is occupied by machine learning applications. Healthcare, education, anomaly detection and pattern, voice recognition are some of the examples of Machine learning. According to Investors Guide to Artificial Intelligence published on 2017, by 2021, The Business Intelligence (BI) & analytics market within, Data Science objectives that support machine learning are envisioned to grow at a 13% CAGR.