AI is revolutionizing so many aspects of our lives. From the way we operate appliances in our homes to the way that children play with toys. AI is also starting to have a significant effect on the way e-commerce businesses attract and retain customers. In fact, a survey by Gartner predicts that by 2020, 85% of a client's relationship with a business will be managed without interacting with any human. For a better understanding of how AI is shifting e-commerce, check out the five applications below.

There wasn't any one big product announcement at Google I/O keynote on Wednesday, the annual event when thousands of programmers meet to learn about Google's software platforms. Instead, it was a steady trickle of incremental improvements across Google's product portfolio. And almost all of the improvements were driven by breakthroughs in artificial intelligence -- the software's growing ability to understand complex nuances of the world around it. Companies have been hyping artificial intelligence for so long -- and often delivering such mediocre results -- that it's easy to tune it out. AI is also easy to underestimate because it's often used to add value to existing products rather than creating new ones.

In this tutorial we look at the word2vec model by Mikolov et al. This model is used for learning vector representations of words, called "word embeddings". This tutorial is meant to highlight the interesting, substantive parts of building a word2vec model in TensorFlow. This basic example contains the code needed to download some data, train on it a bit and visualize the result. But first, let's look at why we would want to learn word embeddings in the first place.

People have a lot of views of what AI is and how it shows up in your daily life,

Artificial Intelligence has been the topic of detailed discussion since it's advent. Microsoft Cortana, Google Now, Apple Siri are the popular and exciting examples of AI. Scientists have always been trying to make life easier and better for humans. So, there's been substantial advancement in almost every field of science be it Medical science, computer science or mechanics. Recently, you may have heard the news of unprecedented complete head transplant from one body to another which is going to be done by the end of this year on Valery Spiridonov, a 31-year-old Russian program manager in the software development field who suffers from Werdnig-Hoffman disease, a muscle-wasting disorder, by Italian neurosurgeon Sergio Canavero.

The last few metres of the journey to HTC's glossily efficient, sci-fi white Taipei HQ are a lolloping dash through puddles and driving showers under grey umbrellas – HTC-branded, of course. Inside, the central atrium (cooled by the natural flow of air rather than aircon, I'm told) is dominated by a huge video screen that is playing a video loop of ketchup being squeezed, a bulging bicep being squeezed, a rubber toy being squeezed, a… well, you get the idea. I'm here to see the new HTC U11, a mobile phone that you can squeeze. In the next 40 minutes, execs from the Taiwanese manufacturer describe why squeezing the sides of a mobile is a natural gesture that adds innovative functionality to the new handset. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

In the 2001 blockbuster, 'What Women Want', Mel Gibson's macho character is in an accident that allows him to hear what women are thinking. And when it comes to online dating, researchers suggest that men would be wise to follow suit and get into the mind-set of women – albeit without going through an accident. A new study has found that men are more likely to be successful in online dating if they create profiles that are more like the women they hope to attract. The researchers looked at three months' worth of anonymous data from a popular dating site, including the profiles and clickstreams of 410,000 active users from 10 metropolitan areas. Together, these users wrote 25 million messages, generated 286 million clicks on the site and rated other users' profiles 864 million times.

But a team of researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and ETH Zurich hope to make drone cinematography more accessible, simple, and reliable. Then, on the fly, it generates control signals for a camera-equipped autonomous drone, which preserve that framing as the actors move. With our solution, if the subject turns 180 degrees, our drones are able to circle around and keep focus on the face. The researchers tested the system at CSAIL's motion-capture studio, using a quadrotor (four-propeller) drone.

Whenever I read articles about data science I feel like there is some important aspect missing: evaluating the performance and quality of a machine learning model. There is always a neat problem at hand that gets solved and the process of data acquisition, handling and model creation is discussed, but the evaluation aspect too often is very brief. But I truly believe it's the most important fact, when building a new model. Consequently, the first post on this blog will deal with a pretty useful evaluation technique: lift analysis. Machine learning covers a wide variety of problems like regression and clustering.

Summary: Want to win a Kaggle competition or at least get a respectable place on the leaderboard? These days it's all about ensembles and for a lot of practitioners that means reaching for random forests. Random forests have indeed been very successful but it's worth remembering that there are three different categories of ensembles and some important hyper parameters tuning issues within each Here's a brief review. The Kaggle competitions are like formula racing for data science. Winners edge out competitors at the fourth decimal place and like Formula 1 race cars, not many of us would mistake them for daily drivers.