Data scientists are often drawn to the profession excited by the chance to spend their days on cutting-edge research and development and working with fantastic new machine learning algorithms. While this is indeed a fun and exciting part of the job, as most data scientists in the field will tell you, much of one's time is spent cleaning, transforming, and engineering the data. The common wisdom is that, given enough data, most standard algorithms will be able to (eventually) detect the signal. This is the thesis that in large N, when you have enough data points, all machine learning algorithms tend to converge on the same answer.

This ANN introduction only covers the basic fundamentals. In the next chapter, we will learn about further techniques that gives ANN its powerful predictive capabilities. Subscribe below to be notified once the next part is out. Enter your email address to follow this blog and receive notifications of new posts by email.

Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask.

It has been a rough few weeks for robots. In mid-February, Google threw its self-driving car under the bus, and not just metaphorically. Google blamed one of its cars for hitting a public bus, the first time the company accepted responsibility for a self-driving crash. Then, after revealing its latest biped robot, Google decided to sell its Boston Dynamics robotics unit.

Just months after announcing a pizza delivery truck with built-in heaters, the pizza purveyor is upping the ante with the world's first pizza delivery robot. The company's Australian arm announced plans to deploy a Domino Robotic Unit (DRU). Essentially an autonomous vehicle, DRU can, according to Domino's, follow a map, navigate sidewalks, avoid obstacles and keep your pizza hot and fresh while delivering it to your front door. While this sounds like an elaborate marketing stunt, a Domino's spokesperson confirmed to Mashable that the robot is real. "DRU is cheeky and endearing and we are confident that one day he will become an integral part of the Domino's family. He's a road to the future and one that we are very excited about exploring further," said Domino's Group CEO and Managing Director Don Meij in a release.

Microsoft created Tay as an experiment to learn more about how artificial intelligence programs can engage with Web users in casual conversation. The project was designed to interact with and "learn" from the young generation of millennials. Tay began its short-lived Twitter tenure on Wednesday with a handful of innocuous tweets. In one typical example, Tay tweeted: "feminism is cancer," in response to another Twitter user who had posted the same message. Lee, in the blog post, called Web users' efforts to exert a malicious influence on the chatbot "a coordinated attack by a subset of people." "Although we had prepared for many types of abuses of the system, we had made a critical oversight for this specific attack," Lee wrote.

There are a lot of creepy things you can do with the data gleaned from an online and mobile maps service used by 302 million people, but there are helpful ways to use it too. Baidu, China's version of Google, is making the case that it can use queries made on its maps service to predict areas where overcrowding may put people at risk for fatal accidents. In a paper titled "Early Warning of Human Crowds Based on Query Data from Baidu Map: Analysis Based on Shanghai Stampede," three Baidu researchers based in Beijing lay out an approach to using big data to give early warnings about potential crowd disasters 1-3 hours in advance. This data is already used by Chinese city planners to help them place transportation, facilities, and shops, according to MIT Technology Review. Now it can be used in the interest of public safety, the researchers assert.

TECH ENTREPRENEUR Elon Musk has been warning that the Age of the Robots is coming soon -- and it might not be pleasant for us. He may be right and he may be wrong on that, but one thing is sure: One robot certainly gave the anti-Whites a headache just this week. On Wednesday, tech giant Microsoft, the third largest corporation on Earth in terms of market value, launched and then immediately withdrew an Artificial Intelligence robot in the persona of a 19-year-old American girl called "Tay." Tay was a "chatbot," which interacted with real humans on the social media platform Twitter and was designed to learn from its interactions. Tay learned so fast that Microsoft pulled her offline in less than a single day.

SAN FRANCISCO • The resounding win by a Google artificial intelligence (AI) programme over a champion in the complex board game Go this month was a statement - not so much to professional game players as to Google's competitors. Many of the tech industry's biggest companies, like Amazon, Google, IBM and Microsoft, are jockeying to become the go-to company for AI. In the industry's lingo, they are engaged in a "platform war". A platform, in technology, is essentially a piece of software that other companies build on and that consumers cannot do without. Become the platform and huge profits will follow.

Elon Musk and Stephen Hawking warned us about this. Nobody was harmed -- physically --by Microsoft's MSFT, 0.44% foul-mouthed Twitter chat robot, of course, but what started out as a fun experiment in artificial intelligence turned ugly in a hurry. To some, that doesn't bode well for the future of robot-human relations: Microsoft initially created "Tay" in an effort to improve the customer service on its voice recognition software. "She" was intended to tweet "like a teen girl" and marketed as having "zero chill." Not so sure about the first part, but they definitely nailed the second part. Microsoft said Tay was designed to "engage and entertain people where they connect with each other online through casual and playful conversation."