This interactive course will teach network security professionals machine learning techniques and applications for network data. This course is a continuation of the skills taught in the Crash Course in Data Science for Hackers. Students will learn various machine learning methods, applications, model selection, testing, and interpretation. Participants will write code to prepare and explore their data and then apply machine learning methods for discovery.

Instead of seeing each Machine Learning (ML) method as a "shiny new object", here is an attempt to create a unified picture. There is no consensus when it comes to an ontology for ML methods; organizational principles are simply ways to get our arms around knowledge so that we are not swamped by too many unconnected notions. A powerful organization of the concepts or Ontology of ML is based on conditional expectation. Conditional Expectation of Class'y' given input attributes, x, denoted by E[y x]. Implementation of estimation of the conditional expectation with various assumptions lead, one way or the other, to ALL the ML techniques that we have today in 2016.

For those who do not get the reference in the title: Wedding Crashers. For those trying to deepen their understanding of neural nets, IAmTrask's "A Neural Network in 11 lines of Python" is a staple piece. While it does a good job–a great job even–of helping people understand neural nets better, it still takes significant effort on the reader's part to truly follow along. My goal is to do more of the work for you and make it even easier. However I will try to make it as easy as possible.

It's almost a given that you'll ride in an autonomous car at some point in your life, and when you do, the AI controlling it just might have honed its skills playing Minecraft. It sounds crazy, but open-world games like Minecraft are a fantastic tool for teaching learning algorithms--which power the next generation of advanced artificial intelligence--how to understand and navigate three-dimensional spaces. Achieving that is a major stepping stone toward creating AI that can interact with the real world in complex ways. It's easy to consider videogames mindless escapism, but because they generate such vast amounts of information--think of the expansive world players create in Minecraft--they are exceptionally well suited to teaching an AI how to perceive the world and interact with it. "It's hard for a human to teach AI," says Xerox researcher Adrian Gaidon, because they are "worse than the worst toddlers in the world--you have to explain everything."

Mia is the future of communication between businesses and consumers,

It has already been cheerfully offering advice to customers hoping to buy a phone in Tokyo, but Pepper the'emotional' robot is now about to enrol in school. The expressive humanoid, which has been developed by Japanese corporation SoftBank Robotics, is designed to identify and react to human emotions. It is now due to attend classes at Shoshi High School in Waseda, in the Fukushima Prefecture of Japan – making it the first time a robot will'study' alongside human students. Pepper the robot has become the world's first humanoid to enroll into a high school. Pepper is intended to be used for customer service in banks, shops and for greeting people. However, SoftBank has said it – or he as they company seems to prefer – could become a companion in people's homes in the future too.

As a fully managed big data and advanced analytics suite, Cortana Intelligence is a powerful solution to transform your data into intelligent action. Connect, prepare, orchestrate, and monitor information at scale with data from websites, apps, and devices. Centralized repository of structured and unstructured data with elastic scale for enterprise-wide analytics. Powerful machine learning and Hadoop-based advanced analytics for driving action in real time. Transform data into rich visuals for you to organize and share so you can focus on what matters to you.

Peter Drucker famously said "what gets measured gets managed." This mantra has been embraced by companies worldwide and particularly in Silicon Valley. Firms are trying to optimize their their sales calls, their supply chain, their HR department and anything else they can put a number on. But with the rush to measure everything, many companies don't think about what the path to optimization looks like and whether their metrics match their goals. One recent example is Twitter's new feed algorithm which was supposed to surface the most relevant tweets rather than use the standard timeline.

The standard way to measure the impact of drought is by its economic effect. Last year, for example, the severity California's four-year drought was broadly characterized by an estimate that it would cost the state's economy 2.7 billion and 21,000 jobs. However, there are many experts who feel economic measures alone are inadequate to fully assess the impact of this complex phenomenon, which affected more than one billion people worldwide in the last decade. They argue that there is an urgent need to come up with better methods for measuring the overall effects of drought because the duration and severity of droughts are widely expected to increase in the future due to global warming. To provide such a comprehensive view, a pair of Vanderbilt doctoral students has assembled a multi-disciplinary team of graduate students from around the country to conduct a multi-faceted study of how people are affected by and responding to drought conditions in the United States.

Intel is cutting 12,000 workers as it faces the financial consequences of underestimating a profound shift in computing from desktop computers to pocket-sized devices. And more trouble may lie ahead. The rate at which Intel makes technological advances suddenly seems to be slowing, and other looming trends, including artificial intelligence and perhaps virtual reality, look set to benefit a different kind of computer architecture. The job cuts are a sign that Intel misjudged the speed with which people would abandon desktops in favor of smartphones and tablets, and failed to reposition its product line to ride that revolution. Only last week the research company Gartner reported that PC shipments were down 9.6 percent in the first quarter of the year.