Generative adversarial networks (GANs) are a class of neural networks that are used in unsupervised machine learning. They help to solve such tasks as image generation from descriptions, getting high resolution images from low resolution ones, predicting which drug…
Added by Luba Belokon on August 17, 2017 at 6:30am —
A common scenario that data analysts in general encounter is what I like to describe as "data denialism". Often, and especially while consulting, an analyst will find that the data tells a different story than what the customer holds to be true. It is also often the case that, when presenting this finding, the customer will outright deny the evidence, asserting that either the data or the analysis must be wrong. For example, it may be that a retailer focused on the… Continue
Added by Jesus Ramos on August 16, 2017 at 8:00am —
In the last few blog posts of this series, we discussed simple linear regression model. We discussed multivariate regression model and methods for selecting the right model.
Fernando has now created a better model.…
Added by Pradeep Menon on August 16, 2017 at 3:00am —
- Introduction of Powershell
- Need of powershell
- BackGround of Powershell
- Why its better than alternatives ?
- Top Most Administrative Powershell Commands
- Working with Pipeline
- Selecting, Sorting, Measuring, Exporting, Importing, Converting, Filtering, Passing Data in…
Added by Venkatesan M on August 15, 2017 at 8:30pm —
Top Neural Network Algorithms
Learning of neural network takes place on the basis of a sample of the population under study. During the course of learning, compare the value delivered by output unit with actual value. After that adjust the weights of all units so to improve the prediction.
There are many Neural Network Algorithms are available for training … Continue
Added by Sheetal Sharma on August 15, 2017 at 7:00pm —
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 2:00pm —
I describe here an interesting and intuitive clustering algorithm (that can be used for data reduction as well) offering several advantages, over traditional classifiers:
- More robust against outliers and erroneous data
- Executing much faster
- Generalizing well known algorithms
You don't need to know K-NN to understand this article -- but click here if you want to… Continue
Added by Vincent Granville on August 15, 2017 at 7:30am —
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:
- Tensorflow basics:
- 1.1 Constants and Variables
- 1.2 Tensorflow Graphs and Sessions
- 1.3 Placeholders and…
Added by Ahmet Taspinar on August 15, 2017 at 4:00am —
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.
- The original dataset contains a huge number of images, only a few sample images are chosen (1100 labeled images for cat/dog as training…
Added by Sandipan Dey on August 14, 2017 at 1:00pm —
Data is important. It is not a secret for anybody. We can even paraphrase famous saying mentioning that “who owns the data, owns the world”. And if you are a business person, you should know like no one else. Your activity can be changed for better if you use Big Data sources. Sales growth, clever marketing strategy - you can achieve it using Big Data. Let’s check it out what is Big Data and how you can make use of it.
Big Data - meaning and particularities
In fact, Big Data… Continue
Added by Nataliia Kharchenko on August 14, 2017 at 7:00am —
Data Science and DevOps Convergence
The primary mission of DevOps is to help the teams… Continue
Added by George Vyshnya on August 13, 2017 at 5:30am —
Data Visualization is not new, it has been around in various forms for more than thousands of years.
Ancient Egyptians used symbolic paintings, drawn on walls & pottery, to tell timeless stories of their culture for generations to come. Human brain understands the information via pictures more easily than writing sentences, essays,… Continue
Added by Sandeep Raut on August 12, 2017 at 10:00pm —
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.
Upcoming Webinars and Resources
Added by Vincent Granville on August 12, 2017 at 1:30pm —
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 —
R Introduction and Features
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:
- R is easily extensible through functions and…
Added by Shreya Gupta on August 11, 2017 at 11:30pm —
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 —
This article was written by Jason Brownlee.
Artificial neural networks are a fascinating area of study, although they can be intimidating when just getting started. There are a lot of specialized terminology used when describing the data structures and algorithms used in the field. … Continue
Added by Amelia Matteson on August 11, 2017 at 9:00am —
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 —
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:
a. Vectors in R
These are… Continue
Added by Shreya Gupta on August 11, 2017 at 12:00am —
Models of Artificial Neural Networks
There are various Artificial Neural Network Models. Main ones are
- Multilayer Perceptron – It is a feedforward artificial neural network model. It maps sets of input data onto a set of appropriate outputs.
- Radial Basis Function Network – A radial basis function network is an artificial neural network. It uses radial basis functions…
Added by Sheetal Sharma on August 10, 2017 at 7:30pm —