Amzi! 10.x is now an open source release. The very stable 9.x release of the software will remain as a supported commercial version. Amzi! Prolog source code debugger showing call stack, variable bindings, source code at a REDO port, index of predicates, and executing code. Amzi! Prolog Logic Server is an embeddable, extendable, highly portable implementation of ISO standard Prolog, including full support for ISO modules enabling large-scale application development. A rule language and reasoning engine that is embeded in Excel, allowing for the development of rule and pattern-matching applications integrated with Excel spreadsheet data.

Deep learning is a branch of machine learning that has shown incredible results on very difficult tasks like recognizing objects from an image, understanding speech and languages, and of course, playing board games. A bunch of smartest people have been working on it for decades, and it's absolutely state-of-the-art. Since you've clicked into a dummy's guide, chances are that you are a curious dummy. So first of all, let me answer a few questions I know a curious dummy might ask. It's software programs trying to mimic the human brain. The way it forms, the way it learns and the way it responds.

Time to get away from it all, enjoy our families, friends, and free time... and read up on the latest in data science, machine learning, and analytics. For those of us who can't completely disconnect, or are otherwise interested in reading up over the weekend, the following is a roundup of some of the best free recent ebooks and other online reading resources, as well as a classic throwback article worthy of the attention of newcomers to the field of machine learning. As reported earlier this week, the MIT Press Deep Learning book is finished, and the online version has been finalized. Written by deep learning heavyweights Ian Goodfellow, Yoshua Bengio, and Aaron Courville, the book is poised to become the deep learning book on the market. At over 700 pages, and being quite technical in content, this isn't a simple one-weekend read (at least, not for the majority of folks), but getting started this weekend means only a few more needed.

We've seen startling moves in artificial intelligence in 2015. Robots are doing the grunt work in factories. Driverless cars have become a reality. WiFi-enabled Barbie uses speech-recognition to talk (and listen) to children. Companies are using AI to improve their product and increase sales.

Bots seem to be all the rage this week, thanks to the release of Facebook's Messenger Bot program at F8, but not everyone sees bots as the way to keep up with the customer service glut. DigitalGenius, a former TechCrunch Disrupt Battlefield finalist, thinks there's a better way using artificial intelligence and machine learning.

Microsoft is the world's most valuable company, with a 261 billion market cap. And an IBM computer named Deep Blue defeats Garry Kasparov, reigning world chess champion and, at the time, the highest-ranked chess player to have ever lived.

It is a truth universally acknowledged that sentiment analysis is super fun, and Pride and Prejudice is probably my very favorite book in all of literature, so let's do some Jane Austen natural language processing. Project Gutenberg makes e-texts available for many, many books, including Pride and Prejudice which is available here. I am using the plain text UTF-8 file available at that link for this analysis. Let's read the file and get it ready for analysis. The plain text file has lines that are just over 70 characters long.

The days when a Facebook post would reach 90 percent of a page's audience have come and gone. In 2011, I was managing operations for Coca-Cola's global Facebook page, which had just surpassed Starbucks to become the largest CPG brand page on Facebook. The page was shared among dozens of markets because Facebook did not yet support regional pages. And each post was geotargeted to reach the right audience. One fine August day, Facebook dropped the targeting from a post specific to our Brazilian audience.

Machine learning packages for Python, Java, Big Data, Lua/JS/Clojure, Scala, C/C, CV/NLP, and R/Julia are represented using a cute but ill-fitting metaphor of a periodic table. We extract the useful links.

Machine learning has crossed from the lab to the business world. Machine learning provides insights that help to create more intelligent data-driven applications that improve business processes, operation, and easier decision making. In a conversation at Structure Data 2016 conference in San Francisco, Dr. Peter Lee, Corporate Vice President, Microsoft Research and Jack Clark, Bloomberg News – San Francisco, talked about the advances we made in Artificial Intelligence (AI) and machine learning in recent years. Dr. Lee is responsible for Microsoft Research New Experiences and Technologies. He said that AI is essentially used to really understand what customers want.