Data analytics and machine learning

In Hadoop, and for general big data, analytics is the key interest area, as Hadoop is a powerful tool to process complex programs and algorithms to improve the process and business. Data analytics can identify deep insights and can help to optimize the process and stay ahead in the competition. Due to the powerful processing nature of Hadoop, machine learning has been in focus and a lot of development in the algorithms and techniques have been adapted for Hadoop. Machine learning techniques are also used in predictive analytics. Data analytics and machine learning is needed by competitive organizations to stay ahead in the competition and by some researchers, especially in life sciences, to process genes and medical records' patterns to generate much important and useful insights and details that are quite necessary in the medical field. This is also needed by researchers in the field of robotics to provide intelligence to machines for performing and optimizing...