The consequences of recent criticisms of statistical tests have breathed brand new life into some very old howlers, many of which have been discussed on this blog. What is not funny, though, is how standard notions such as frequentist error probabilities are being redefined in the process, and how we now have arguments built on equivocations. In fact, there are official guidebooks for the statistically perplexed giving inconsistent definitions to the same term (See for just 1 of many examples this post). How much more perplexed will that leave us! Since it's near the 5-year anniversary of this blog, tonight let's listen in to a new comedy hour mixing one from 3 years ago with some add-ons*.

With the explosion of data generation, getting optimal solutions to data driven problems is increasingly becoming a challenge, if not impossible.The importance of machine learning algorithms, which can handle this burst of data and assist in intelligent decision making, is thus realised among data scientists. Within this category of machine learning algorithms, a special focus area is bio-inspired algorithms. This review article provides the readers some inputs on the advances in the domain of bio inspired algorithms and their potential applications across domains. It is increasingly being recognised that applications of intelligent bio-inspired algorithms are necessary for addressing highly complex problems to provide working solutions in time, especially with dynamic problem definitions, fluctuations in constraints, incomplete or imperfect information and limited computation capacity. More and more such intelligent algorithms are thus being explored for solving different complex problems. While some studies are exploring the application of these algorithms in a novel context, other studies are incrementally improving the algorithm itself.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

NEW YORK CITY, NY – 26 Aug, 2016 – The Financial Policy Council, riding high on a series of successful events that began with a Global Financial Summit in the Bahamas in March, and culminated in a powerhouse symposium on Global Health presented by bigbang Health, announced it will host a special 6-person panel on Applied Artificial Intelligence in New York City on September 8th. The event will address the way that Applied AI is poised to radically reengineer the future of the service economy and its business models. From driverless cars, to healthcare, to finance, to supply chain, to outsourcing, to selection of human resources, artificial intelligence is restructuring the business models and solutions of tomorrow. FPC Chairman, Ziad Abdelnour, said, "We are excited that the FPC is jumping right into the heart of the Artificial Intelligence conversation, and are looking forward to a highly-engaged and positively explosive event." Evangelized by Mark Minevich, AI Expert, CTO, High-Level Fellow and Tech Advisor at US Think tanks and Institutes, and Venture Partner at GVA Capital Group, the panel includes Guruduth Banavar, one of the leading executives from IBM's Watson Research Division, Lucy Wang of Greycroft Partners, Dr. Long Phan, CEO of Top Flight Technologies, Heiko Schmidt, CEO of PhiFactor Technologies, Bruce Gallager, Partner at True Global Ventures and member of the New York Angels.

Who will remain a loyal customer and who won't? Which messages are most effective with which segments? How can customer value be maximized? This book supplies powerful tools for extracting the answers to these and other crucial business questions from the corporate databases where they lie buried. In the years since the first edition of this book, data mining has grown to become an indispensable tool of modern business.

Sydney legal startup LegalVision announced today that it has secured 4.2 million in a Series B round to continue its growth in the Australian online legal market. The funding round was led by commercial law firm Gilbert Tobin, who previously made a strategic investment into LegalVision last November. LegalVision delivers legal services through a tech-driven business model, helping businesses around Australia access quality resources by providing startups and SMBs with access to more than 3,000 legal articles and 40 free legal documents. In just over three years the startup reports that it has assisted more than 15,000 business around the country. CEO of LegalVision, Lachlan McKnight said the backing of Gilbert Tobin and the latest round of funding is validation of the startup's goal and progress to date.

Data has been the focal point of technology, machine-learning and artificial intelligence for decades now. While technology has evolved, so has the need for data. As per estimates from American multinational corporation Computer Sciences, we are expected to consume 44 times more data in 2020 than we did a decade ago. This is also evident from the fact that the vocabulary for data has changed over the years. While we would recognise terms like'gigabyte' and'terabyte', the millennials are now talking about'petabytes' and'zettabytes'.

Machine learning (ML) is all the hotness right now. There is literally a new story every week about a complicated problem that was solved using ML. Most of my coworkers and friends in the industry have expressed interest in learning about ML, but have not been able gain a foot hold. I believe the problem is that the current books and online classes are overwhelming; scaring away students before they have a chance to build up confidence. The problem I had when I started learning ML was that the tutorials insisted on teaching the math that is fundamental for machine learning to work.

Over the past two months, its team of nine developers has made it possible for the app to run offline, without connecting to its servers. The update, available Tuesday for iOS devices, is a big deal because Prisma previously needed a large amount of computing power in remote servers to process each image. That work can now be performed on individual phones thanks to the improved efficiency of the app. If you haven't used Prisma, it works a lot like Instagram, without the social network component: Upload or take a photo, and the free app will transform it into artwork in the style of famous masterpieces. You can make your selfie look like Edvard Munch's The Scream, or your backyard resemble Katsushika Hokusai's The Great Wave.

Katherine Johnson as she received the Medal of Freedom. Johnson played a pivotal role in the American space program. She was one of the first African-American women to work at NASA (and the agency's predecessor, the National Advisory Committee for Aeronautics). A mathematician, she worked as a "human computer" performing calculations for the Mercury, Apollo, and Shuttle programs. A NASA biography of Johnson says she was so respected by her peers that "John Glenn requested that she personally re-check the calculations made by the new electronic computers before his flight aboard Friendship 7--the mission on which he became the first American to orbit the Earth."