Register for Hardcore Data Science Day at Strata Hadoop World NYC 2015, which takes place September 29 to October 1. There are many algorithms with implementations that scale to large data sets (this list includes matrix factorization, SVM, logistic regression, LASSO, and many others). In fact, machine learning experts are fond of pointing out: if you can pose your problem as a simple optimization problem then you're almost done. Of course, in practice, most machine learning projects can't be reduced to simple optimization problems. Data scientists have to manage and maintain complex data projects, and the analytic problems they need to tackle usually involve specialized machine learning pipelines.

Steve Jurvetson has been referred to as "the smartest guy in the room," "the smartest person in Silicon Valley" and a "brainiac," among other laudatory monikers attesting to his prodigious intellect. The Internet is chock full of videos of lectures by and interviews with the venture capitalist, a partner at Draper Fisher Jurvetson. They span such topics as rockets and space, Moore's Law, machine learning, synthetic biology, technological innovation, the rich-poor gap and "the democratization of matter." That begins to reflect the breadth of Jurvetson's interests, and also his investments. Over the years, they have included companies that became transformational, from Hotmail (the Web as a platform) to Tesla (automaker as energy company).

The following interview is one of many included in the report. As part of my ongoing series of interviews surveying the frontiers of machine intelligence, I recently interviewed Yoshua Bengio. Bengio is a professor with the department of computer science and operations research at the University of Montreal, where he is head of the Machine Learning Laboratory (MILA) and serves as the Canada Research Chair in statistical learning algorithms. The goal of his research is to understand the principles of learning that yield intelligence. Yoshua Bengio: I have been researching neural networks since the '80s.

"Dry cleaning is really inconvenient," Norton said. "As we looked at this space we recognized the entire industry is outdated. We figured there had to be a better way to do it." So his team built an app and they created Press, what they call "the Uber of laundry and dry cleaning." Press is one of 15 startups that pitched Thursday night at Longhorn Startup Lab Demo Day at the Lady Bird Johnson Auditorium at UT.

Gary Grossman is a futurist and public relations and communications marketing executive with Edelman. It's easy to see a rainbow when it's in the distance, but more difficult to discern when you are in its midst. Klaus Schwab, the founder of the World Economic Forum, says the impending "transformation will be unlike anything humankind has experienced before." Digital technologies now surround us, with many people having multiple devices for business and personal use. When combined with the Internet of Things and its assortment of embedded sensors and connected devices in the home, the enterprise and the world at large, we will have created a digital intelligence network that transcends all that has gone before.

TokensRegex is a generic framework included in Stanford CoreNLP for defining patterns over text (sequences of tokens) and mapping it to semantic objects represented as Java objects. TokensRegex emphasizes describing text as a sequence of tokens (words, punctuation marks, etc.), which may have additional attributes, and writing patterns over those tokens, rather than working at the character level, as with standard regular expression packages. TokensRegex was used to develop SUTime, a rule-based temporal tagger for recognizing and normalizing temporal expressions. An included set of slides and the javadoc for TokenSequencePattern provide an overview of this package. Some additional information is available in some older slides.

With Congress revisiting how Pentagon units share authority under the 1986 Goldwater-Nichols Act, the intelligence agencies under the next presidential administration should likewise review their own unity of effort to become more agile and able to integrate, the top Defense intelligence official said Thursday. "The integration of intelligence of the past 15 years is a journey that is not finished," said Marcel Lettre, undersecretary of Defense for intelligence, at a banquet for agency and industry professionals in the nonprofit Intelligence and National Security Alliance. "I hope the new administration finds clear progress from the last 15 years and takes it on with a mantle of seriousness, or even sees an opportunity to redouble the effort." Lettre, who was sworn in in December to preside over a 17 billion budget, eight components and 110,000 employees, said he also hopes the next administration will "institutionalize and make irreversible" the intelligence community's digital data sharing modernization effort known as the Intelligence Community Information Technology Enterprise (pronounced "eyesight"). "Key critical data sets are the coin of the realm for the intel community," he said.

Artificial intelligence (A.I. as many refer to it) is quickly becoming our reality. And even though its technology is all around us, many of us don't understand what that technology is. The "misconception" about artificial intelligence, is that it's a "robot," says Tim Urban, whose stick-figure-filled explainer on the technology has been read by more than 4 million people on his website, Wait But Why. The robot, however, is merely the "container" for the artificial intelligence, Urban told Olivia Stern for "Sunday TODAY with Willie Geist." "The A.I. is the software inside the container. The A.I. is, in particular, software that can make decisions."

Today on In Case You Missed It: The Smart Tissue Autonomous Robot performed surgery on its own (with a human standing by) and turns out, makes such fine, consistent stitches that it actually beats those done by real counterparts. Carnegie Mellon created a wristwatch display and ring system that makes the skin of your forearm a touch pad to interact with the screen. And McDonald's made something called the McTrax placemat in the Netherland's and music folk everywhere want one, asap. We also rounded up the week's big headlines in TL;DR and hope your weekend conversations touch on whether the UAE should build an artificial mountain to get more rain. As always, please share any great tech or science videos you find by using the #ICYMI hashtag on Twitter for @mskerryd.

This weekend's race is as Kansas Speedway, a 1.5-mile tri-oval with variable banking in the corners. The race is a Saturday night race, so be sure to set your DraftKings NASCAR Kansas lineups on Saturday, not Sunday! With 267 laps scheduled, dominators are important, but perhaps not as important as other races. At Las Vegas earlier this year four drivers led at least 10 percent of the laps, with one other missing the cutoff by three laps led. At the Kansas night race last year, four drivers led 10 percent or more, and that doesn't include race winner Jimmie Johnson who only led a small handful of laps, but took home the all important race win.