We propose a simple model-free solution to compute any confidence interval and to extrapolate these intervals beyond the observations available in your data set. In addition we propose a mechanism to sharpen the confidence intervals, to reduce their width by an order of magnitude. The methodology works with any estimator (mean, median, variance, quantile, correlation and so on) even when the data set violates the classical requirements necessary to make traditional statistical techniques…Continue
Summary: GANs (Generative Adversarial Nets) originally thought to be a tool for inexpensively creating DNN training data have instead become the tools for creating deep fake images. However the deep fake technology is now finding uses in the commercial world and promises valuable results.
Added by William Vorhies on May 6, 2019 at 7:57am — No Comments
I had the great fortune to sit on an Ericsson-Wired Magazine panel with some outstanding thought leaders to debate the ramifications of the Fourth Industrial Revolution. We debated whether the era was a revolution or just an evolution (I argued revolution because it will force organizations to think differently about their business and operational models) and whether IoT had failed so far (I said that to date it had “under-performed” from a business value…Continue
Added by Bill Schmarzo on May 6, 2019 at 4:34am — No Comments
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.
Added by Vincent Granville on May 5, 2019 at 10:00am — No Comments
Added by Stephanie Shen on May 5, 2019 at 8:35am — No Comments
When we look at broadly different kinds of Machine Learning that are used in practice in Artificial Intelligence
Historically, there have been several approaches in Machine learning for AI like supervised learning, unsupervised learning, reinforcement learning, case-based reasoning, inductive logic programming, experience based generalisation etc. there have been several examples of waves of machine learning for different AI problems. But, of them the 3 most important categories of…Continue
Added by Mahesh Kumar CV on May 5, 2019 at 1:00am — No Comments
"AI will be the most defining technology for the banking industry."
-Ravi Narayanan, HDFC Bank
Such a comment, coming from an organization (HDFC) which has taken a gigantic leap in adopting conversational banking in the form Eva, India’s first AI bank agent, isn’t surprising. However, make no mistake, AI is being accepted globally as the new UI for banks to interact with their customers. Industry thought leaders increasingly agree that…Continue
Added by Mahesh Kumar CV on May 4, 2019 at 10:00am — No Comments
Global trends like fuel price fluctuations, geopolitical events and government regulations have a huge impact on the airline industry. In an industry at the mercy of unpredictable trends, it is all the more important for companies to gather, analyze and apply data intelligently to all business processes.
Some key use cases where AI will provide tons of value in the aviation industry are as follows:
1. Optimizing MRO via Preventive Maintenance
Added by Mahesh Kumar CV on May 4, 2019 at 10:00am — No Comments
AI is a new buzzword but there has been a lot of talk around analytics and prospects over a decade. Here we present a perspective that AI is a continuum of Analytics
Let us see how...
Different approaches in Data Science and analytics have been originated in the field of statistics.
AI has emerged on the other hand out of computer science as a practice and science of studying "intelligent agents".
The way is to treat AI as extending conventional analytics with a…Continue
Added by Mahesh Kumar CV on May 4, 2019 at 9:28am — No Comments
"We used computer vision, deep learning algorithms and sensor fusion, much like you’d find in self-driving cars. We call it -Just Walk Out’ technology"
Much to the surprise of everyone in the retail industry, Amazon launched a new format of stores called "Amazon Go." The most interesting feature of these stores is that shoppers will not have to check out at a counter with a clerk or even with an automated kiosk. Shoppers simply have to swipe into the store with an app,…Continue
Added by Mahesh Kumar CV on May 4, 2019 at 9:00am — No Comments
This crash course features a new fundamental statistics theorem -- even more important than the central limit theorem -- and a new set of statistical rules and recipes. We discuss concepts related to determining the optimum sample size, the optimum k in k-fold cross-validation, bootstrapping, new re-sampling techniques, simulations, tests of hypotheses, confidence intervals, and statistical inference using a unified, robust, simple approach with easy formulas, efficient…Continue
We live in a world where the amount of data has increased on a large scale in various fields. Websites track user activities, marketers collect the customer’s purchasing history, so-called “Quantified-Selfers” collect the user’s sleeping patterns and heart rates, and so on.
With the availability of vast amounts of data, most industries have started focusing on leveraging valuable insights from it. Those insights can give businesses a competitive advantage in the market and…Continue
The concept of efficiency is not always easy to grasp. People go to work. They do their job. They follow the pace. What exactly is efficiency in the scheme of things? I think it is important to be able to distinguish between how hard different workers are working. It is not really possible to discuss efficiency if this kind of comparison is not performed. Improving efficiency is about getting more from a person or process. Therefore in order to determine whether or not efficiencies…Continue
Added by Don Philip Faithful on May 4, 2019 at 6:58am — No Comments
Artificial Intelligence (AI) and the technologies associated with it have disrupted the market and created room for bigger and better opportunities. Based on the insights from the data, these technologies require a lot of trust and assurances. Since organizations are…Continue
Added by Ronald van Loon on May 3, 2019 at 10:30pm — No Comments
Machine learning gives us the ability to train a model, which can convert data rows into labels in such a way that similar data rows are mapped to similar or the same label.
For example, we are building SPAM filter for email…Continue
Added by Sergey Zelvenskiy on May 2, 2019 at 8:43pm — No Comments
Artificial intelligence (AI) seemingly has been discussed everywhere over the last few years, and now it’s made its way into the commercial insurance industry. Organizations are using AI and machine learning for everything from streamlining operations to offering more personalized care and better customer service. There is an increasing sense of urgency about getting started on the AI journey. The question is how. Do they develop a custom solution in-house or purchase a third-party solution…Continue
Added by Ji Li on May 2, 2019 at 3:00pm — No Comments
These 25 queries using our own data science search engine, return hundreds of articles and resources, sorted by popularity and recency. This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, …Continue
Added by Vincent Granville on May 2, 2019 at 5:00am — No Comments
Added by Marco Tavora on May 1, 2019 at 4:57am — No Comments
It is a well-known fact that neural networks can approximate the output of any continuous mathematical function, no matter how complicated it might be. Take for instance the function below:…
Added by Marco Tavora on May 1, 2019 at 4:52am — No Comments