Role of machine learning in Data Science: A detailed study

The machine learning empowers data science to reduce human efforts and become a most valuable asset for business needs through pattern recognition, prediction, analysis and efforts. Now-a-days, organizations really emphasize using data to improve their product needs, where machine learning makes the day of Data Scientist easier by automating the task, and by analyzing enormous amount of data which proves that Data scientist should have in-depth knowledge of Machine learning to improve their prediction process. Machine learning is a subset of Artificial Intelligence, a set of algorithms which trains machine or computers the ability to predict the data on their own. In this paper, a detailed overview of different structures of Data Science and address the impact of machine learning on steps such as Data Collection, Data Preparation, Training the model, Model Evaluation and Prediction. Also, a study on detailed 3 keys on machine learning algorithms such as Classification, regression and clustering is been discussed in this paper