One of the questions I get asked more often is: "how can I become a data scientist?". In fact Machine Learning fundamentals can be explained in an intuitive way and can be acquired rather quickly. This talk reviews the 3 fundamental techniques of Machine Learning and details use cases for their application in business. It then suggests optimal paths for acquiring Machine Learning skills for teams and individuals, depending on previous experience, career goals, time and budget available. If you've been wondering whether you need a master, a PhD, a bootcamp, on-the-job training or online self-study, this talk is for you (and for your manager).
- managers looking to train their engineering team in machine learning
- technical and non-technical people interested in a career transition towards data science and machine learning