Many senior ML complain that new hires don’t know fundamentals. My plan is to start as a data engineer (learn the pipeline), transition to data science (do the stats), and then ML. Is this an excessively long path to choose?
Many senior ML complain that new hires don’t know fundamentals. My plan is to start as a data engineer (learn the pipeline), transition to data science (do the stats), and then ML. Is this an excessively long path to choose?