DEDHAM, MA--(Marketwired - Dec 7, 2016) - RAGE Frameworks, a provider of artificial intelligence (AI) for the Enterprise, today announced that a leading diversified investment and financial services company has deployed RAGE LiveSpread to automate the extraction, interpretation and processing of financial statements and other documents needed for credit analysis. RAGE LiveSpread is a contextual, traceable machine learning solution built on the RAGE-AI platform. Dealing with variations in form (electronic files, pdfs, and paper statements), format, language, accounting standards across countries, and data delivery methods makes financial statement automation a major challenge. Currently, this is a manual, error-prone, and non-scalable process at every major bank around the world. At this leading investment and financial services company, RAGE's solution completely automates the ingestion, extraction, interpretation of investment reports, bank statements and Income Tax returns.

If you asked the average person what they know about artificial intelligence (AI), they would probably launch into stories about intelligent computers taking over the world and rebellious robots running amok. While the misconception the movies have created may be wildly wide of the mark, AI is an area of technological development having a massive impact in all corners of our lives for generations to come. That's why Stanford University has launched a long-term project to study the impact of AI on society. A study that's not necessarily going to offer solutions, but will promote a dialogue about AI to guide us through the ethical, legal, and technological challenges machine intelligence might bring. I think that's a pretty cool undertaking.

"We are to admit no more causes of natural things than such as are both true and sufficient to explain their appearances." "When you have two competing theories that make exactly the same predictions, the simpler one is the better." One famous example of Occam's Razor in action is found in conspiracy theories surrounding the NASA moon landings. Many conspiracy theorists believe that the first Moon Landing was staged and filmed in a studio, part of an elaborate hoax. Their justification relies upon many twisted and convoluted theories, whereas the NASA argument is fairly straightforward.

A/B Testing - In marketing, A/B testing is a simple randomized experiment with two variants, A and B, which are the control and treatment in the controlled experiment. It is a form of statistical hypothesis testing. Other names include randomized controlled experiments, online controlled experiments, and split testing. In online settings, such as web design (especially user experience design), the goal is to identify changes to web pages that increase or maximize an outcome of interest (e.g., click-through rate for a banner advertisement). Adaptive Boosting (AdaBoost) - AdaBoost, short for "Adaptive Boosting", is a machine learning meta-algorithm formulated by Yoav Freund and Robert Schapire who won the prestigious "Gödel Prize" in 2003 for their work.

A knowledge of algorithms (maths and stats) is the main differentiator between traditional programming and analytics -based programming. Having said that, it helps to start with programming and approach the maths (initially) through APIs and libraries. I find that this technique works better because more people are familiar with programming than with maths. Techniques used in Data Science such as Data transformations, Exploratory data analysis, Feature engineering, Ensemble strategies, and Visualization (story telling) all involve maths and stats. Future versions of this tutorial will elaborate on this.

Clinton's campaign: Could machine learning and Java have prevented their failure to handle big ... Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

It's the Law of Accelerating Returns: When tech pundits try to predict the future, they always underestimate. The scientific reasoning: The more advanced a technology is, the faster it can progress -- precisely because it's more advanced. Just take a look at not only the progress of artificial intelligence and machine learning, but its proliferation of use cases, which is moving inevitably into the marketing realm. And this is the kind of growth explosion you want to be at the forefront of. It's why here at the tail end of 2016, we've watched over 200 AI-focused companies raise nearly $1.5 billion in funding, and have seen a 6X increase in equity deals to AI startups from 70ish in 2011 to almost 400 in 2015.

Uninformed Search: This is used when creating an action sequence that doesn't account for any changes along the way. Heuristic Functions: These allow for decisions to be made without accurate or complete information. Adversarial or Moving Agent Search: This is used when there are other entities making decisions that influence one another. Piotr Gmytrasiewicz, associate professor in the department of computer science at the University of Illinois at Chicago, teaches three courses: Artificial Intelligence 1, Artificial Intelligence 2 and Applied Artificial Intelligence.

I will update this article regularly. An old version can be found here and has many interesting links. All the material presented here is not in the old version. This article is divided into 11 sections. A laptop is the ideal device. I've been using Windows laptops for years, and I always installed a Linux layer (acting as an operating system on top of Windows), known as Cygwin. This way, you get the benefits of having Windows (Excel, Word, compatibility with clients and employers, many apps such as FileZilla) together with the flexibility and pleasure of working with Linux. Note that Linux is a particular version of UNIX. So the first recommended step (to start your data science journey) is to get a modern Windows laptop (under $1,000) and install Cygwin. Even if you work heavily on the cloud (AWS, or in my case, access to a few remote servers mostly to store data, receive data from clients and backups), your laptop is you core device to connect to all external services (via the Internet). Don't forget to do regular backups of important files, using serives such as DropBox. Once you installed Cygwin, you can type commands or execute programs in the Cygwin console.

You may know Watson as IBM's Jeopardy-winning, cookbook-writing, dress-designing, weather-predicting supercomputer-of-all trades. Starting today, 40 organizations will rely upon the clever computers cognitive power to help spot cybercrime. The Watson for Cybersecurity beta program helps IBM too, because Watson's real-world experience will help it hone its skills and work within specific industries. After all, the threats that keep security experts at Sun Life Financial up at night differ from those that spook the cybersleuths at University of New Brunswick. IBM researchers started training Watson in the fundamentals of cybersecurity last spring so the computer could begin to analysize and prevent threats.