Summary: Recently we’ve been profiling Automated Machine Learning (AML) platforms, both of the professional variety, and particularly those proprietary one-click-to-model variety that are being pitched to untrained analysts and line-of-business managers. Since our first article, readers have suggested some additional companies we should look at which are profiled here along with some interesting observations about who is buying and why.
Added by William Vorhies on August 15, 2017 at 2:21pm — No Comments
Manipulating and processing data in R
Data structures provide the way to represent data in data analytics. We can manipulate data in R for analysis and visualization.
One of the most important aspects of computing with data in R is its ability to manipulate data and enable its subsequent analysis and visualization. Let us see few basic data structures in R:
Added by Shreya Gupta on August 11, 2017 at 12:00am — No Comments
R is a free software programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis and visualization.
Let us now look at some key capabilities of R:
Added by Shreya Gupta on August 11, 2017 at 11:30pm — No Comments
Last weekend I went to attend one event hosted by GE digital in association with T-HUB and Idea labs.
The event was about industrial IoT and Predix Platform developed by GE Digital for IIOT.
It was a very much informative event, and I also had the privilege to meet some awesome people over there who are part of this platform development.
GE is the well-known company we all know.
Now coming to the usage of IoT and analytics in this. GE Develops a lot of turbines…Continue
Added by balram prasad on August 11, 2017 at 9:30pm — No Comments
Functions are used to simplify a series of calculations.
For instance, let us suppose that there exists an array of numbers which we wish to add to another variable. Instead of carrying out separate calculations for each number in the array, it would be much easier to simply create a function that does this for us automatically.
A function in R generally works by:
(a) Defining the variables to include in the function and the calculation. e.g. to add two…Continue
Added by Michael Grogan on August 12, 2017 at 5:30am — No Comments
The images on this blog are from an algorithmic environment that I first developed about 15 years ago - rendered using a graphical system that I wrote in Java. A “differential lattice” is a structured array of differences between two points: e.g. the difference between the closing price of a stock on day T-0 (today) and T-6 (a week ago). Consequently, if the closing prices are $10.10, $10.20, $10.30, $10.40, and $10.50 (today), then 0/3 is from T-0/T-3 or $10.50 less $10.20 = $0.30. A…Continue
Added by Don Philip Faithful on August 12, 2017 at 5:30am — No Comments
Added by Sandeep Raut on August 12, 2017 at 10:00pm — No Comments
Added by George Vyshnya on August 13, 2017 at 5:30am — No Comments
Given a set of labeled images of cats and dogs, a machine learning model is to be learnt and later it is to be used to classify a set of new images as cats or dogs.
Added by Sandipan Dey on August 14, 2017 at 1:00pm — No Comments
In the past year I have also worked with Deep Learning techniques, and I would like to share with you how to make and train a Convolutional Neural Network from scratch, using tensorflow. Later on we can use this knowledge as a building block to make interesting Deep Learning applications.
The contents of this blog-post is as follows:
Added by Ahmet Taspinar on August 15, 2017 at 4:00am — No Comments
I describe here an interesting and intuitive clustering algorithm (that can be used for data reduction as well) offering several advantages, over traditional classifiers:
You don't need to know K-NN to understand this article -- but click here if you want to…Continue
Summary: Whether you are a startup person or data science-minded executive in a larger organization what logic can you apply to spot the most compelling opportunities for AI in your organization.
Added by William Vorhies on March 12, 2017 at 9:00am — 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.
Added by Vincent Granville on August 12, 2017 at 1:30pm — No Comments
In the last article of this series, we had discussed multivariate linear regression model. Fernando creates a model that estimates the price of the car based on five input parameters.…
As a type of front-end data service intended for end-users, reports in applications have received a lot of concerns about their performances. It’s all users’ wish that parameters in and query and aggregate results out in no time. Though less than twenty seconds’ waiting time is within a tolerant range, three to five minutes will threaten to extend beyond a user’s patience with the worst product experience.
But why is a report so slow? And how shall we optimize its…Continue
Added by HAN Lijun on August 10, 2017 at 12:30am — No Comments
The increasing complexity of smart products, more demanding users, and stiff competition are driving the focus of electronics OEMs (original equipment manufacturers) on product quality and productivity. These companies are struggling to improve their operations to increase their production yield, operational efficiency, and product quality. This has been driving demand for Data Visualization & Analytics solutions over the past few years and as part of their…Continue
Added by Shantanu Chaturvedi on August 10, 2017 at 1:00am — No Comments
Over the past few years, an increasing protocol complexity has garnered a lot of attention among clinical trial experts. It has lead to various important studies beginning from meditating insights metrics warehouse which reveal that clinical studies have reached to a significant level of complexity in the recent times. In spite of a larger increase in metrics in the first half of the past decade and continued warnings from experts, the complexity continues to be on an upward surge through…Continue
Added by Mark on August 10, 2017 at 5:30pm — No Comments
Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field,…
Added by Sanjiban Sekhar Roy on August 11, 2017 at 8:00am — No Comments
Deep Learning, Neural Networks and AI
About this course: If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly…Continue
Added by Vincent Granville on August 10, 2017 at 2:00pm — No Comments
The development of Big Data, artificial intelligence and predictive analytics has created extravagant expectations for enterprise productivity growth — and aroused popular anxiety about intelligent information systems taking jobs from human workers. It is ironic, against that backdrop, that…Continue
Added by David Sweenor on August 10, 2017 at 6:24am — No Comments