Where to Learn Deep Learning – Courses, Tutorials, Software. Deep Learning is a very hot Machine Learning techniques which has been achieving remarkable results recently. We give a list of free resources for learning and using Deep Learning. By Gregory Piatetsky, @kdnuggets, May 26, 2014. Deep Learning is a very hot area of Machine Learning Research, with many remarkable recent successes, such as 97.5% accuracy on face recognition, nearly perfect German traffic sign recognition, or even Dogs vs Cats image recognition with 98.9% accuracy. Many winning entries in recent Kaggle Data Science competitions have used Deep Learning. The term "deep learning" refers to the method of training multi-layered neural networks, and became popular after papers by Geoffrey Hinton and his co-workers which showed a fast way to train such networks. Yann LeCun, a student of Geoff Hinton, also developed a very effective algorithm for deep learning, called ConvNet, which was successfully used in late 80-s and early 90-s for automatic reading of amounts on bank checks.
17 short tutorials all data scientists should read (and practice) - Data Science Central. Statwing: Modern Data Analysis Software for Surveys, Business Intelligence Data, and More. The Learning and Intelligent OptimizatioN solver. Tableau Desktop. Extract tables from PDFs, download tweets, and scrape the web. School of Data - Evidence is Power.