I am from Kashmir, a region prone to earthquakes and floods. When I was 17 years old, in 2005, 70,000 people lost their lives in an earthquake in my hometown. This event compelled me to study engineering and specifically in 2005, start performing earthquake engineering research. Then, in 2014, a combination of two events on different sides of the world inspired the creation of One Concern. In 2014, during a break from graduate school at Stanford, I was visiting my parents in Kashmir when a large flood engulfed the state.

For the past few months, I've been working on a project that involved machine learning, a subject that I was previously quite unfamiliar with. Though I'm still very much a novice, the resources here helped give me an overview of the subject, or are ones that I plan on exploring further.

Here are choice articles on hot leadership topics culled from the business schools, the business press and major consulting firms, to start off your work week. Highlights include leading in the digital age, changing the game in industrial goods through digital services, the rise of machine learning, how women and men internalise the glass ceiling, and the explosion of wearing work on our wrists. Note: Some links require you to register or are to publications that have some form of limited paywall. "Servant leadership is not a new concept. Robert Greenleaf introduced the idea back in 1977. In recent years, however, concrete evidence has emerged that the approach delivers more than warm, fuzzy feelings. Last month, the first quantitative study that begins to explain a connection between servant leadership and improved individual performance was published by researchers in Canada. This new evidence may help move servant leadership from a niche practice to one adopted by more executives."

Figuring out where to live is never easy. Do you settle in the house next to the elementary school or the one a few miles away that's cheaper? You decide to confide in your robotic assistant, who asks you a series of questions about what's most important to you: Nearby schools, bars, or parks? After some back-and-forth, it tells you your affordable dream home is two miles away from a reputable public school. Within the next decade, bots (in our phones and not) will be able to do that and more, says Andrew Moore, the dean of Carnegie Mellon's School of Computer Science.

This class is self paced. You can begin whenever you like and then follow your own pace. It's a good idea to set goals for yourself to make sure you stick with the course. Take a look at the "Class Summary," "What Should I Know," and "What Will I Learn" sections above. If you want to know more, just enroll in the course and start exploring.

Telstra Network Disruptions challenged Kagglers to predict the severity of service disruptions on their network. Using a dataset of features from their service logs, participants were tasked with predicting if a disruption was a momentary glitch or a total interruption of connectivity. Mario Filho, a self-taught data scientist, took first place in his first "solo win". In this blog, he shares a high-level view of his approach. My background in machine learning is completely "self-taught". It all began in 2012 when I decided to learn Calculus on my own through the videos from a MIT class.

It's hard to tell if there's anything left to invent. While the world is full of infinite possibilities, sometimes it seems that every n 1 of those possibilities has already been addressed. A platform for selling musical instruments to strangers or post fetish wanted ads? How about a robot that instantly pulls and returning info from the internet when requested? Sixteen years ago, three guys had that exact idea--and it didn't exist.

If venture capital and research funding are any indication, artificial intelligence will play a leading role in shaping our future. And few tech innovators in the private or public sector have been as prominent in defining that role as Andrew Ng, chief scientist at China's search giant Baidu. Ng has taught AI at Stanford, led the Google Brain project, founded online education pioneer Coursera, and just last year took his post at "China's Google" in hopes of figuring out how to teach computers to see and hear, and to do that for the world's most populous country. Small wonder why China represents such a huge opportunity for machine intelligence applications. Baidu is the world's fifth most trafficked website.

KOCHI: Saarang Sumesh made robots on his own long before he started going to school. The seven-year-old Class II student of Choice School, Tripunithura, is the youngest maker of robots in the state and, probably, the youngest in the country as well. The Palluruthy native, son of Sumesh V S and Srijaya, started building complex machines like internal combustion engine models from the age of three. By four, he began building the LEGO NxT robot models and started making his own robot models - walking stick for the visually challenged, house-cleaning robot, robotic hand, tricycle, humanoid robot - by the time he turned five. Now, he learns and makes new Arduino projects using micro-control kit (electronic kit) and Raspberry Pi. ''When I got the Lego robotic kit I was thrilled to make robots out of it.

A neural-analogue calculator based upon a probability model of reinforcement.