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The data world can be confusing to say the least and it’s ever changing! Want to learn more about what’s involved in managing a data lifecycle? What to consider? What’s the difference between a data scientist and a machine learning engineer? What does MLOPs even mean? We can help. We’ve written some handy guides and filmed some video explainers on your common questions. If you’re a reader we’ve got detailed content for you or if you just want a quick overview you can watch a video. If you’ve an idea for something you want explained in clearer terms, we’d love to hear from you. Get in touch below.
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How to become a Machine Learning Engineer: Our concise list of AI/ML learning resources
Want to get started with AI/ML and Data Science, but not sure where to start? This is a intentionally short list of the most useful resources we’ve used. We will update this with only the best content/courses we find
November 20 2018
