Competitive Machine Learning with Anthony Goldbloom
How can competition teach machine learning? Carl and Richard talk to Anthony Goldbloom of Kaggle about competitive machine learning. Kaggle hosts competitions provided by industry and academia to find machine learning solutions on different data sets. While the competitive aspects tend toward only particular types of data sets, Anthony talks about how two very different machine learning algorithms - Gradient Boosting Machine and Deep Recurrent Neural Networks - have risen to the top. Want to learn machine learning in a hurry? Join a competition!
Guests:
Anthony Goldbloom
Anthony Goldbloom is co-founder and CEO of Kaggle. Kaggle is best known for hosting machine learning competitions, where data scientists download data and upload solutions to very difficult problems. they have worked with companies ranging from Merck, GE and Shell on problems like predicting which chemical compounds will make for good drugs, to improving the efficiency of oil production. They have a community of over 500,000 data scientists who build 100,000 machine learning models each month to compete in their competitions. <br/><br/> Before founding Kaggle, Anthony worked as a statistician at the Reserve Bank of Australia and before that at the Australian Treasury. <br/><br/> In 2011 and 2012, Forbes Magazine named Anthony as one of the 30 under 30 in technology, in 2013 the MIT Tech Review named him one of top 35 innovators under the age of 35 and the University of Melbourne awarded him an Alumni of Distinction Award. He holds a first call honors degree in Econometrics from the University of Melbourne. Anthony has published in the The Economist and the Harvard Business Review.
Links:
- MVC Controller Explained https://medium.freecodecamp.com/model-view-controller-mvc-explained-through-ordering-drinks-at-the-bar-efcba6255053
- Kaggle https://www.kaggle.com/