| Popis: |
Big Data provides answers to all the questions generated by data and one can get these answers through Machine Leaning and Artificial Intelligence. This chapter will tell us all about machine learning, the different algorithms used to generate a model, and how Machine Learning can be used to get highly valuable outcomes from big data. Machine Learning algorithms can work on structured, unstructured, and semi-structured big data and are classified based on signals and feedbacks that are used to train the machine, namely, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning. The type of output required differentiates machine learning models into regression, classification, and clustering. This chapter will also show how big data affects Natural Language Processing and will also deal with the concept of Deep Learning used in big data. At last the chapter will discuss how big data can be visualized using machine learning using a few graphical outputs and will also show how all this knowledge can be useful in the healthcare sector. |
