This is part 3 in a series. Part 1 is here and Part 2 is here.To announce Google’s AutoML, Google CEO Sundar Pichai wrote, “Today, designing neural nets is extremely time intensive, and requires an expertise that limits its use to a smaller community of scientists and engineers. That’s why we’ve created an approach called AutoML, showing that it’s possible for neural nets … [Read more...] about Google’s AutoML: Cutting Through The Hype
This is part 2 in a series. Check out part 1 here and part 3 here.Researchers from CMU and DeepMind recently released an interesting new paper, called Differentiable Architecture Search (DARTS), offering an alternative approach to neural architecture search, a very hot area of machine learning right now. Neural architecture search has been heavily hyped in the last year, … [Read more...] about An Opinionated Introduction To AutoML And Neural Architecture Search
This post is part 1 of a series. Part 2 is an opinionated introduction to AutoML and neural architecture search, and Part 3 looks at Google’s AutoML in particular.There are frequent media headlines about both the scarcity of machine learning talent (see here, here, and here) and about the promises of companies claiming their products automate machine learning and eliminate … [Read more...] about What Do Machine Learning Practitioners Actually Do?