Bayesian Reasoning and Machine Learning by David Barber has a chapter on Approximate Sampling Christophe Andrieu et al. have written an introductory tutorial (pdf) on MCMC methods that covers most of the MCMC algorithms Dr. Daphne Koller offers an online course on Coursera, Probabilistic Graphical Models, which also covers the Gibbs Sampler and the Metropolis-Hastings Algorithm Dr. A. Taylan Cemgil has prepared very useful lecture notes (pdf) for his Monte Carlo methods course

India is home to the world's largest population of blind people and not nearly enough optometrists to provide the care the country needs. But recently, some doctors there have been receiving help in the fight against eye disease from an unexpected source. As Mashable reports, machine learning is being used to better understand the spread of blindness and predict the success rates of eye surgeries. The initiative is part of a collaboration between Microsoft and the Indian not-for-profit LV Prasad Eye Institute (LVPEI). At the center of the project are their Azure machine learning and Power BI services: After analyzing the anonymous records of 1.1 million people, the AI system can trace patterns of eye disease.

Microsoft's plan to use machine learning to improve eyecare in India Competition that results in better care for people suffering from visual impairments is the right kind of competition. Following a path similar to that of Google's DeepMind, Microsoft India announced this morning that it's launching a new research group, the Microsoft Intelligent Network for Eyecare, to bring data-driven eyecare services to India. Whereas DeepMind's swing at ophthalmology targeted the UK, Microsoft's ambitions are a considerably more global. The tech company is working alongside researchers from the United States, Brazil, Australia and, of course, India to train machine learning models that can identify conditions that can lead to blindness. Microsoft's key strategic partnership is with the L V Prasad Eye Institute in Hyderabad, India, one of the most prestigious hospitals in the country.

The Artificial Intelligence (AI) market is booming, with nearly every major player in the enterprise space vying for a foothold. IBM, Amazon, GE, Microsoft, Google, Cisco, SAP, HPE, Verizon--you name it, anybody and everybody, even folks who used to sell hardware--are actively working on and/or want to stake a claim in a piece of the AI pie. What encompasses the AI market? Machine learning, natural language processing (NLP), voice recognition and image processing, application and geography are what we're looking at, with mobile devices and cloud being the enablers. And just what will the AI market be?

Competition that results in better care for people suffering from visual impairments is the right kind of competition. Following a path similar to that of Google's DeepMind, Microsoft India announced this morning that it's launching a new research group, the Microsoft Intelligent Network for Eyecare, to bring data-driven eyecare services to India. Whereas DeepMind's swing at ophthalmology targeted the UK, Microsoft's ambitions are a considerably more global. The tech company is working alongside researchers from the United States, Brazil, Australia and, of course, India to train machine learning models that can identify conditions that can lead to blindness. Microsoft's key strategic partnership is with the L V Prasad Eye Institute in Hyderabad, India, one of the most prestigious hospitals in the country.

Hundreds of millions of people around the world suffer from visual impairment. A new program from Microsoft utilizes machine learning techniques and artificial intelligence to help diagnose and treat the condition, according to a report from Mashable. Earlier this year, Microsoft teamed with the not-for-profit LV Prasad Eye Institute (LVPEI) in India, which provided the computing giant with access to more than one million anonymized medical records. Those records were tossed into Microsoft's cloud-based machine learning program and processed. The data gave Microsoft the ability to look through and analyze a wide range of procedures, providing a better understanding as to why a certain operation is chosen and the results of different surgeries for the eye patients.

New school ones like studio Butterscotch Shenanigans' Crashlands let you scoop those rewards up off the battlefield, drag them back to your base, then turn them into cool, usable objects. Killer aliens meets goofball storytelling and characters meets a weighty crafting system brimming with hundreds of recipes, Crashlands (for PC, Mac, iOS and Android devices) is everything predictable RPGs aren't.

Though robots and artificial intelligence may not replace our doctors entirely in the foreseeable future, they are already starting to make a difference. Microsoft is now using machine learning and artificial intelligence to help doctors in India to diagnoze and treat eye diseases. Earlier this year, Microsoft began working with the not-for-profit LV Prasad Eye Institute (LVPEI) in India to have its Azure machine learning and Power BI services analyze patterns among cases and predict the surgical outcome of eye surgery patients. The collaboration saw Microsoft going through a trove of data -- anonymized records of 1.1 million people -- and provide doctors with insights into how the blindness spreads in the country, Anil Bhansali, Managing Director of Microsoft India (R&D), explained to Mashable India in a conversation. Microsoft says it utilized Azure machine learning service to crunch the numbers and Power BI service to visualize those numbers to make sense out of them.

Though robots and artificial intelligence may not replace our doctors entirely in the foreseeable future, they are already starting to make a difference. Microsoft is now using machine learning and artificial intelligence to help doctors in India to diagnoze and treat eye diseases. Earlier this year, Microsoft began working with the not-for-profit LV Prasad Eye Institute (LVPEI) in India to have its Azure machine learning and Power BI services analyze patterns among cases and predict the surgical outcome of eye surgery patients. The collaboration saw Microsoft going through a trove of data -- anonymized records of 1.1 million people -- and provide doctors with insights into how the blindness spreads in the country, Anil Bhansali, Managing Director of Microsoft India (R&D), explained to Mashable India in a conversation. Microsoft says it utilized Azure machine learning service to crunch the numbers and Power BI service to visualize those numbers to make sense out of them.

Pulling these threads together, recently a gaming AI defeated a US Air Force expert combat pilot in simulated combat.