Artificial intelligence and machine learning have become the newest trend in business intelligence. Companies are rushing to secure resources to incorporate these new technologies into their business model. For the first time in decades, businesses have the opportunity to open up a new channel for business intelligence delivery to support informed business decision making with fast turnaround. In response to this trend in business intelligence, the labor market has started to demand more Data Scientists and Data Architects while demand for other careers decrease. What are these new technologies and how can they revolutionize the way companies do business?

In a recent post about Deep Learning applications, platforms, limitations and quantum computing we have announced a panel discussion on "How Artificial Intelligence is disrupting Industries" which took place on 25 May 2017 in Cape Town. This event was hosted by Far Ventures, a start-up studio and incubator that aims to foster technology entrepreneurship in Africa by founding and growing start-ups that can positively impact people's lives through technology. It was also supported by the Machine Intelligence Institute of Africa (MIIA), an innovative community and accelerator for Machine Intelligence and Data Science Research and Applications to help transform Africa. This post includes the links to the introductory presentation as well as the video of the panel discussion. Photos of the MIIA event can be found here. Photos of the MIIA event can be found here.

British Airways cancelled all its flights from London's two main airports until Saturday evening after a global computer system outage caused massive delays and left planes stuck on runways. BA said there was no evidence the problem had been caused by a cyber attack. The airline said terminals at Heathrow and Gatwick had become extremely congested because of the IT failure and all BA flights scheduled before 1700 GMT had been cancelled. "Please do not come to the airports. We have experienced a major IT system failure that is causing very severe disruption to our flight operations worldwide," the airline said in a statement.

I recommend using the "pip" Python package manager, which will allow you to simply run "pip3 install packagename " to install each of the dependencies: For actually writing and running the code I recommend using IPython, which will allow you to run modular blocks of code and immediately the view output values and data visualizations, along with the Jupyter Notebook as a graphical interface. With all of the dependencies installed, simply run "jupyter notebook" on the command line, from the same directory as the titanic3.xls The Data At First Glance: Who Survived The Titanic, And Why? Before we can feed our dataset into a machine learning algorithm, we have to remove missing values and split it into training and test sets. Interestingly, after splitting by class, the main deciding factor determining the survival of women is the ticket fare that they paid, while the deciding factor for men is their age(with children being much more likely to survive).

The big point here is that we are improving the optimization approach by adding clever noise into the gradient. By sampling different truncation lengths, the gradient estimate we obtain becomes stochastic. It doesn't come as much of a surprise that adding noise does slow down the training procedure. However, as mentionned, the noise we introduce is not any noise: it provides unbiasedness. Notably, this means that ARTBP considers some minima that Truncated Backprop does not see as minima, as it is biased.

However, if you are unable to fully understand the basic descriptive statistics terminology included herein, you are definitely lacking foundational knowledge that is needed to build a whole series of much more robust and useful professional concepts on top of. So here is a collection of 15 basic descriptive statistics key terms, explained in easy to understand language. Variance is not often used on its own, but can be a useful calculation on the way to a more descriptive statistical measurement, such as standard deviation. The standard deviation of a distribution is the average deviation between individual distribution scores and the distribution's mean.

In my recent blog, Marrying Kalman Filtering & Machine Learning, we saw the merger of Bayesian exact recursive estimation (algorithm for which is Kalman Filter/Smoother in the linear, Gaussian case) and Machine Learning. We developed a solution called Kernel Projection Kalman Filter for business applications that require static or dynamical, dynamical or time-varying dynamical, linear or non-linear Machine Learning, i.e., pretty much all applications - therefore, Kernel Projection Kalman Filter is a "universal" solution . . . But who needs anything more than STATIC Machine Learning (ML)? Indeed, university courses in ML largely teach static ML. Given a set of inputs and outputs, find a static map between the two during supervised "Training" and use this static map for business purposes during "Operation" (which is called "Testing" during pre-operation evaluation).

Are you a data scientist and do not know KDNuggets.com? Ok, go there right now, add a bookmark, and make this part of your daily reading list. But don't forget to come back here afterwards to read the rest of this post. KDNuggets is one of the most popular portals for data science, and is a great source for news and information. It probably will not be winning a design award any time soon.

USA TODAY's Jefferson Graham thinks the new gesture controlled DJI Spark drone is the wave of the future in computing. Today, we move to the hands. In one of the most jaw-dropping tech demos of the year, drone manufacturer DJI this week showed off a new quadcopter that can be flown with hand gestures. Move your palm left to fly that way, extend your hand to land it. As someone who spends a lot of time flying drones and juggling with video-game like controllers to operate them, this is the holy grail. No more worries about connections and keeping my head down to operate--just wave my hands in the air and let the drone soar.