Here is the second part of my blog series on learning Azure Machine Learning. The sample walks through a really simple example of how can we use machine learning for predictive analysis using Machine Learning as a service feature. We will be building a predictive model on if the income of a person is greater than 50K based on his demographics. Step 2- Click new and select a Machine Learning workspace. Step 3 – Click on the newly creating workspace and you should see something similar to below.

The North Face wants its customers to get the perfect jacket for whatever they're doing - skiing in Vermont, ice skating in New York City or just trying to stay warm on the way home from work. So how do they give online customers that extra assistance and know-how? "The issue is that online shopping over the past two decades has been about a grid of products on a white background," said Cal Bouchard, senior director of e-commerce at The North Face. "That's how customers find their products. We've developed onsite search and navigation, but we still made the consumer do the work. We wanted to take the conversation you might have with an associate in a store and see if we could put that as a service online: 'Here's what I need. "We want to make it much more personal and much more intuitive," she added. "Consumers are going to get smarter and smarter and say, 'Really?

In his introductory keynote for Microsoft's Build 2016 developer's conference, CEO Satya Nadella explained the company's vision for the future of communication. The concept of "conversation as a platform" will serve as the foundation of how we will interact with technology and one another. "We want to take the power of human language and apply that more pervasively to all the computing interfaces and computing interactions," he said, also noting the future "is not going to be about man vs. machines, it's going to be about man with machines." This will require humans to teach computers human language, conversational understanding, and their personal preferences so technology can be more helpful day-to-day life. Nadella noted how as humans infuse intelligence into everything, it's important for Microsoft to have a principled approach and have a way to guide their communication design.

With improving technology and marketing and search engines getting more complex, use of artificial intelligence seems to be gearing up to play a major role in the search queries. Siri, Google Now and Cortana are already playing major roles in the operation of major devices. However, tech giants and marketers are seeking the advanced technology of these artificial intelligence to make better search queries. Marketers too are keen in including machine learning and the use of artificial intelligence within the marketing platform to use this technology optimally for the best form of marketing possible. With the aid of digital assistance that artificial intelligence provides, search queries and results are available at greater ease.

As machines are branching out into ever more unknown and unpredictable environments, so to is their ability to understand those environments improving. I recently wrote, for instance, about a project called the Visual Genome, which aims to provide a hub for understanding how machines are able (or not) to understand the world they operate in. The platform was developed by professors at the Stanford Artificial Intelligence Lab and aims to tackle some of the toughest questions in computer vision, with the eventual goal of developing machines that can understand what it sees. Researchers at Boston University are conducting work on the same topic, and have developed a robot that is capable of recognizing specific objects, and then maneuver around them without human support. The ability for robots to guide and navigate for themselves is hugely important and feeds into a vast range of possible applications.

The results are all over the map, but a few of the test images -- like the puppy and Monarch butterfly above -- look pretty good. The algorithms work using a few common sense rules (the sky is typically blue, dirt roads are usually brown and have a similar texture), and "hallucinating" a plausible colorized photo. But the results are far from perfect. For example, the neural net has a hard time coloring within the lines with more complex subjects like vegetables on a plate or keeping a heron bright white. When it does hit the mark, however, it's impressive. In fact, 20 percent of the folks surveyed for a "colorization Turing test" were fooled into thinking that the images weren't monochrome to start.

Forty years after Apple started, the tech giant's co-founder Steve Wozniak outlined his technology predictions for the next four decades. Wozniak said he does not believe computing power will increase as much as it has since he, Steve Jobs and Ronald Wayne founded Apple. But he contended several areas, including machine learning, self-driving cars and virtual reality, will make strides in the coming years. "We may come up with more clever ways of getting learning machines to act like the human brain," Wozniak told CNBC's "Fast Money" on Friday. "It could start thinking for itself and learning faster than humans can," he added.

It wasn't even April 1, but being the overachievers they are, Google had already started releasing its April Fools' Day announcements. Starting yesterday, we spotted a disco-clad pegman on Google Maps, a Google sock-finding app on Google's Australia blog, and a new "Flick" keyboard from Google Japan. There were also two Gmail hacks that rolled out: an emoji-powered smart reply feature and a "Send Mic Drop" option. The Gmail mic drop feature had a number of users up in arms after they unwittingly inserted a mic-dropping Minion gif into emails. By this morning, Google had disabled the prank and apologized for causing more headaches than laughs.

We are currently working with a client in the FMCG who is trying to unpack better customer segments or "clusters" in order to engage and market to them better. The problem is we are trying to solve is "How might we find customers that allow for better ROI on marketing initiatives?" Imagine however the ability to segment customers in a totally new way? Discover common needs or characteristics not humanly possible or conceivable? What if we allowed artificial intelligence to apply its own way to "segment" or "cluster" segments?

Mastering arcade games seems cute by comparison. Researchers at DeepMind, the Google-owned artificial intelligence lab, announced Wednesday they had achieved a breakthrough not thought possible for at least another decade: a computer program that defeats humans at Go, an enormously complicated strategy game. See Also: This robot can solve Rubik's Cube in one second This network was named by EContent Magazine to its "Trendsetting Products of 2014" list.