Machine learning is generating a lot of buzz these days in the technical vertical and therefore it doesn’t come as a surprise that more and more people are considering to become a Machine learning engineer. However, there are a lot of things that one needs to consider before opting for this field. The first thing that you need to understand is the key difference between data analyst and machine learning engineer. The major difference lies in the end goal of both the roles. Whilst the data analyst analyzes the data for producing insights, a machine learning engineer creates software that makes use of the machine learning technology. Now, let’s move forward and have a look at the skills that can make you an engineer in a machine learning Development Company without any hassles. 1. Fundamentals of Computer Science & Programming The fundamentals that are necessary for machine learning engineers are data structures, algorithms, complexity, computability, and c...
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