H2O.ai is on a mission to empower everyone with the tools to easily develop high performance, production-ready, machine learning models and we are inviting you to join us on this journey! H2O is an open source, distributed machine learning platform with interfaces in R, Python, Scala, Java, REST/JSON, as well as a web interface called Flow. H2O can train models on a large Hadoop or Spark cluster just as easily as training models on a laptop. H2O.ai is the startup headquartered in Mountain View, CA, behind the H2O software product. Data Science Intern, you'll be tasked to apply your analytical skills to industry-focused data science applications, in addition to development of the H2O software itself.

Text clustering is a widely used techniques to automatically draw out patterns from a set of documents. This notion can be extended to customer segmentation in the digital marketing field. As one of its main core is to understand what drives visitors to come, leave and behave on site. One simple way to do this is by reviewing words that they used to arrive on site and what words they used ( what things they searched) once they're on your site. Another usage of text clustering is for document organization or indexing (tagging).

However, mastery in the subject can only be achieved by adding profundity to one's knowledge. One such facet involves learning how to deal with the assumptions and drawbacks of the various algorithms being used. In a post for KDnuggets, Ex-Google engineer Cheng-Tao Chu goes into seven mistakes to avoid for the aspiring Machine Learning expert. Among his seven points, Chu talks about picking a suitable evaluation metric for your model that fits the domain in which it is being applied, being cognizant of and dealing with outliers carefully, and avoiding models which tend to overfit when dealing with data where the number of features outnumbers the number of data points.

The app contains Online content since adding offline content will make the app heavy. It consumes very small amount of data since it is only notes and diagrams which are being fetched.

As the CSIRO reported last Friday, artificial intelligence, cognitive computing, robotics and automation are transforming the world of work. This transformation will be bigger and faster than the industrial revolution, and the waves of changes will be ongoing. By 2035, three-quarters of Australian jobs will be significantly altered by the digital revolution, resulting in over 6 million full-time jobs disappearing, according to recent research by The Boston Consulting Group. In just two decades over one-third of jobs as we know them will be automated, prompting the public and private sectors to consider how best to re-educate the workforce for a future of innovation and jobs previously unimagined. Governments will be challenged by a rate of job destruction that will be at'recession' like levels for decades.

AlphaGo has won the fifth of five games of Go against South Korean grandmaster Lee Se-dol. The final game was a close-run thing, spilling into overtime with the AI just half-a-point ahead at one stage. The best-of-five tournament, which saw the software win 4-1, is considered to be a significant moment in the development of artificial intelligence. Go is a sophisticated game with more potential moves than there are atoms in the observable universe, requiring a greater capacity for on-the-fly "thinking". In a post on Google's Asia-Pacific blog, top American go player Michael Redmond said: "It was difficult to say at what point AlphaGo was ahead or behind, a close game throughout. "AlphaGo made what looked like a mistake with move 48, similar to the mistake in Game Four in the middle of the board.

If you think the pace of technology change has been speeding up, prepare for a shock -- you ain't seen nothing yet. After the transistor gave us pervasive computing and the Internet made us all digitally connected, we've started to discover how much our world can change in just a few years. Now that advances in artificial intelligence are starting to kick in, that rate of change is set to surge to unprecedented new heights. We are at the next inflection point in humanity. The rate of change is now going to be measured in years or months.

In an unassuming two-storey Victorian town house in Bristol, the occupants are being filmed, monitored, and tracked by invisible sensors as they go about their business, 24 hours a day. What they lose in privacy could be our gain in life expectancy, if the long-term data bears out. Pivotal to the 15-million Sensor Platform for Healthcare in a Residential Environment (SPHERE) project, the house has been invisibly fitted with dozens of cameras and sensors while its occupants are asked to don wearable devices. The aim is to reveal how health is related to everyday lifestyle and living conditions over time. The smart home observes how long the occupants slouch in front of the TV as opposed to sitting or walking or exercising.

Artificial intelligence (AI) may conjure up far-fetched ideas of robot assistants, or perhaps an all-seeing presence like HAL 9000, the sentient machine in the movie 2001. But the likelier truth is that AI will come in the form of software running in your data center. And it will be coming very soon: Research firm Gartner predicts that "smart machines" will have a widespread impact on business within the next four years. In general terms it's likely that AI will be able to help IT departments do their job - and help businesses be more productive – by ensuring that "processes get applied, stuff is accurate, errors are eliminated, and compliance is met," according to Dr Stuart Anderson, a research fellow at the Future of Humanity Institute at the University of Oxford. It will also be quite unremarkable, according to some.

While traveling in Western Samoa many years ago, I met a young Harvard University graduate student researching ants. He invited me on a hike into the jungles to assist with his search for the tiny insect. He told me his goal was to discover a new species of ant, in hopes it might be named after him one day. Whenever I look up at the stars at night pondering the cosmos, I think of my ant collector friend, kneeling in the jungle with a magnifying glass, scouring the earth. I think of him, because I believe in aliens--and I've often wondered if aliens are doing the same to us.