Big Data and Machine Learning: Where You May Need It (And Perhaps Not)
Big Data and Machine Learning are two technologies that have revolutionized industries worldwide. Big data are massive amounts of both structured and unstructured information created by the digital runnings machine learning and involves algorithms used to process this enormous amount of load. When used together, they may provide otherwise unattainable insights and conspire to foster genuine innovation. We discuss a range of examples in this article and offer our perspective on how big data can help drive machine learning forward. Data Collection and Storage Data is the backbone of any machine learning project. Big data technologies can be used to store, analyze and process a large volume of datasets from various sources such as social media, sensors,transactions etc. These data sets are what machine learning algorithms rely on to detect patterns, make predictions and refine decisions. What to expect in future: Innovative Data Management Systems Distributed databases and cloud storage s...