Appalling forces are re-establishing the relationship between humans and water.
In the past, communities developed slowly, while the weather remained constant. Water sources never depleted at tumultuous rates as it has today. Water is no longer a dependable resource. That’s why many countries and cities are embracing smart technologies to manage water efficiently and preserve it for the coming generations.
As we observe the United Nations World Water Day on Wednesday, 22nd March, it is apt to assess the development being made in conserving this diminishing resource.
Do you follow your instincts instead of data and insights?
Do you prefer storing data in different databases, in separate formats with varying values?
Habits are subject to change. Though it may take some time, but eventually it evolves. Good and bad habits make a person. Good habits don’t demand attention, but bad habits often need to be looked into.
In supreme and sophisticated geospatial realm, data have been predominant. Or, should I say it is the matured fosterling of Geographic Information Systems (GIS). Choose, whatever suits you; subject to whom you work for or what you need to work on. The meat and potatoes? To excel on location analytics, concentrate only on the best most current data.
Can the film industry leverage more on data analytics?
Film making as an industry is as dependent on good marketing as it is on good content.
And it is here that data analytics comes to the picture, for not only does it govern marketing strategies of a Studio but in future it might govern the creative half as well.
With the increase in use of machine learning, for taking important corporate as well as national operational decisions, it is important to set across some core social domains. They will work to make sure that these decisions are not biased with discrimination against certain categories whatever they may be applied into.
In this post, we will discuss the crucial matters of “threshold classifiers”, a part of some machine learning operations that is critical to the issues of discrimination. With a threshold classifier one can essentially make a yes/no decision, which in turn helps to put things in perspective with one category or the other. Here we will take a look at how these classifiers work, the ways in which they can potentially be biased and how one may be able to turn an unfair classifier into a much fairer one.
Do these following questions clog your mind?
I aspire to become a business analytics professional, but I don’t know what skills to possess?
I am sceptical; which training should I opt for in order to establish my career in the sphere of business analytics?
I am looking forward to switch my career into data analytics, but I don’t know which skills to imbibe for better prospects?
Answer: Yes, they do.
Erik Schmidt, a Senior Scientist at Pandora is going to propose an insight of recommendations and deeper challenges involved with Pandora at the Machine Intelligence Summit. This global tech event will take place in San Francisco on 23rd and 24th of March 2017.
Business Intelligence combined with Big Data analytics is stimulating the progress of Enterprises across the globe, along with pulling whooping amount of investment within the Big Data community. The infographic given below on big data in shaping everyday lives elucidates people about how Big Data is making our lives better.
Uber is here as a mobile app, which allows you to request for a ride, but this company has never deemed itself to be a mere transportation service provider, rather it prefers to call itself a technology service provider, more like some logistics company.
More than a year ago, Danny Lange was appointed as the head of Machine Learning at Uber and he along with his team associates started operations from San Francisco. Being an ardent believer of the benefits that Machine learning can bring upon the society, Lange considers that AI and Machine Learning, if combined together can absolutely solve any business discrepancies, irrespective of the nature of the problem.
A major misconception about artificial intelligence is the fact that today’s robots possess a very generalized intelligence, however, we are fairly efficient in leveraging large datasets to accomplish otherwise complex tasks. Nevertheless we still fail and fall flat at the prospect of replicating the breadth of human intelligence.
Care to contribute to AI development in today’s world? Then take up a Machine Learning course online with us. But in order to move forward a generalized intelligence, Facebook is ensure that we know how to evaluate the process. In a recently released paper, Facebook’s AI research (FAIR) lab has outlined just that as a part of its CommAI framework.