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A phd isn't even remotely necessary to use machine learning, and most competent employers know this. Research is slightly different, but most jobs out there aren't research and you probably don't want one of those jobs unless you've done a phd and love research anyway.
Summary. A machine learning PhD catapults you into a field of critical importance for humanity’s future. You can use the skills you gain to help positively shape the development of artificial intelligence, apply machine learning techniques to other pressing global problems, or, as a fall-back, earn money and donate it to highly effective charities.
They don’t. Putting this on the job requirements has a few benefits. 1. It weeds out the people who have completed an online course and basically don’t know what they’re doing. 2. It makes the job look more prestigious, so they get a higher calibr.
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A machine learning learning PhD doesn’t only open up some of the highest-paying jobs around, it sets you up to have an outsized positive impact on the world. This comprehensive guide on machine learning PhDs from 80,000 Hours (YC S15) will help you get started.
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Many complex real-world phenomena can be described through probabilistic models that char- acterize available data, and possibly relate them to other unknown quantities of interest. Fields where such systems can be found include environmental science, biology, econometrics, astron- omy, among many others. Unfortunately, for most probabilistic models of practical interest.
The main task of the PhD student in the doctoral work will be on devising new methodologies within machine learning (classical and deep learning) for classification and prediction tasks for computer vision applications. The successful candidate will perform research in the area of applied machine learning.
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I dont think that Phd is required for any machine learning positions. A good masters and an inquistive mind with mathematical curiosity is all what it needs. A Phd biases your approach towards your specialization which is undesirable. I work on core Machine learning algorithms, and codes most of them in the way i want.
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Efficient machine learning The position will be supervised by asst. prof. Robert Peharz and the successful candidate will have ample collaboration opportunities within the Department of Mathematics and Computer Science, and in particular within the AIc (groups Uncertainty in AI, Data Mining, and Databases).