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Link Pack: Fun with Machine Learning

Link Pack: Fun with Machine Learning

Making data science accessible - Machine Learning – Tree Methods from Analyticbridge

“Tree methods are commonly used in data science to understand patterns within data and to build predictive models. As with any technique related to data science Tree Methods are one of many approaches you could take to solve a business problem using large amounts of data. The key is being able pick and choose when to take Tree Methods off the shelf. At a high level: Tree Methods may help you with a prediction problem, given the warning around potential over-fit.”

An Introduction to Machine Learning Theory and Its Applications: A Visual Tutorial with Examples from DataViz

Machine Learning (ML) is coming into its own, with a growing recognition that ML can play a key role in a wide range of critical applications, such as data mining, natural language processing, image recognition, and expert systems. ML provides potential solutions in all these domains and more, and is set to be a pillar of our future civilization.

Machine Learning as a Service: How Data Science Is Hitting the Masses from Huffington Post

“Machine learning and predictive techniques impact every major industry. It may soon be an essential line item in most companies’ budgets. But here’s a dirty secret: no matter how good the algorithm, no matter how good the scientist, the models can’t perform magic.”

Google has given its open-source machine learning software a big upgrade from The Verge

“TensorFlow has already been used in a number of interesting projects, including a program that learns how to play Pong (which also borrows machine learning elements from DeepMind's famous Atari-playing AI), and a neural network that invents fake but realistic-looking Chinese characters.”

10 Deep Learning Terms Explained in Simple English from Data Science Central

“Deep Learning is a new area of Machine Learning research that has been gaining significant media interest owing to the role it is playing in artificial intelligence applications like image recognition, self-driving cars and most recently the AlphaGo vs. Lee Sedol matches. Recently, Deep Learning techniques have become popular in solving traditional Natural Language Processing problems like Sentiment Analysis.”

Link Pack: Data & Climate Change

Link Pack: Data & Climate Change

Link Pack: Predictive Analytics

Link Pack: Predictive Analytics