Machine Learning is an emerging technique based on the idea that systems can learn from data, identify hidden patterns, and make decisions with minimal human intervention. It is a field of research that relies on the theory, performance, and properties of learning systems and algorithms. There are many types of Machine Learning Techniques such as Supervised, Unsupervised, Semi-Supervised, Reinforcement, and Evolutionary Learning. Machine learning techniques provide possible solutions to extract the potential rich information hidden in the data, and it has been widely adopted in many massive and complex data-intensive fields such as medical sciences, weather forecasting, image analysis, opinion mining, textual forensics, fake news identification, wireless sensor networks, Internet of Things, and many others.
Numerous Machine learning literature surveys presents different machine learning approaches and techniques. Even though the machine learning techniques provide great achievement in processing social media data, data grows bigger and bigger every day. The existing machine learning techniques encounter several shortcomings and great difficulties in handling the large volume of data and uncertainty. Thus, there is a great need to develop efficient and intelligent learning methods to cope with future data processing demands.