Hello everyone,
I’d like to get into data science/MLE. I have a scientific background and I do have some coding and ML experience. I’m thinking of doing a bootcamp (Springboard’s MLE track).
Any MLEs or recruiters on here that can give some advice on whether or not a bootcamp is a good route and worth the cost. I’m good at self learning, so it isn’t absolutely necessary. But I would like to make the transition ASAP.
Any advice would be much appreciated 🙏🏻
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Would recommend: If you want to be an MLE, show that you can productionize an ML project. Would be much more impressed if you can take a deep learning model and set up an automated retraining workflow based on a dataset which changes monthly (e.g. top posts from some Reddit subreddit), or that you have knowledge of big data tools like Spark/Ray, or containerization like Docker and Kubernetes.
Scientists are the ones who need Kaggle on their resume IMO: as an MLE you generally don't own the modeling part of the project (this varies from company to company) or write research papers.
Would recommend
Springboard is like any for-profit educational organization: ignore their marketing hype, and decide based on whether you identify that they can get you to where you want to be.