Artificial intelligence (AI) and machine learning are the golden children in technology for the coming years. What role are data scientists playing in this? This interesting topic came to our attention from DATAVERSITY in their article, “Data Scientists and Machine Learning Algorithms for the Data-Driven World.”
Are data scientists using their skills to develop better machine learning algorithms? What is difference between a data scientist and a machine learning engineer?
The data scientist does the statistical analysis and research to determine which machine leaning approach to use. The machine learning engineer will often partner with the data scientist to take the machine leaning model prototyped by the data scientist and make it work well in a production environment.
The data scientist is typically trained to be stronger in statistics, while the machine leaning engineer is typically trained to be stronger in computer science. However, it is important that these two know a lot about what the other does and can work together to perform at optimum.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
