Things in machine learning are repeated over and over and hence machine learning is iterative in nature. Therefore, to know machine learning, one has to understand the machine learning process. The machine learning process is a bit tricky and challenging. It is very rare that we find the machine learning process easy. The reason for it being so complex is very clear – a large amount of complex data is involved in this process and out of which we try to find out meaningful predictive patterns and model. That’s why, as I mentioned in my last article that this is dealt by data scientists who are actually specialists in this space. In my last article, I also mentioned how rewarding a machine learning process could be. The benefits out of this process could be outstanding, but we should also keep in mind that the process may not always succeed but can fail, but that’s too rare. Let’s focus on the processes and scenarios used in Machine learning in this article.