No one wants to miss the experience of Virtual Reality. During Adobe’s recent summit event held in London, the company revealed a new virtual reality (VR) application that it has in the works by the name of Project New View.
Adobe’s Project New View will help the marketing Professionals in the future to make decisions by analyzing through VR mode. Check its glimpse below and comment you opinion.
Data Mining is the process of identifying trends in large data sets.
Steps are as following:
- Business understanding
- Data understanding
- Data preparation
The data is usually collected and stored in data warehouses.
Then we apply suitable data mining algorithms for identifying trends.
Most popular algorithms are clustering and regression trees.
Data Mining can be done for:
- Mining for patterns
- Mining for associations
- Mining for correlations
- Mining for clusters
- Mining for predictive analysis
A deep neural network (DNN) is an artificial neural network (ANN) with multiple hidden layers between the input and output layers. DNNs can model complex non-linear relationships. DNN architectures generate compositional models where the object is expressed as a layered composition of primitives. The extra layers enable composition of features from lower layers, potentially modeling complex data with fewer units than a similarly performing shallow network.
Deep architectures include many variants of a few basic approaches. Each architecture has found success in specific domains. It is not always possible to compare the performance of multiple architectures unless they have been evaluated on the same data sets.
DNNs are typically feedforward networks in which data flows from the input layer to the output layer without looping back.
Recurrent neural networks (RNNs), in which data can flow in any direction, are used for applications such as language modeling. Long short-term memory is particularly effective for this use.
Convolutional deep neural networks (CNNs) are used in computer vision. CNNs also have been applied to acoustic modeling for automatic speech recognition (ASR).
Many application is developed for Deep Learning which are very help to other famous applications.
With the help of Web Services API R-studio can be used to connect Adobe Analytics.
The Web Services APIs provide programmatic access to marketing reports and other Suite services that let you duplicate and augment functionality available through the Analytics interface.
Analytics > Admin > Company Settings > Web Services
RSiteCatalyst is a kind of good package of R.
SCAuth Store Credentials For The Adobe Analytics API
SCAuth(key, secret, company = “”, token.file = “”, auth.method = “legacy”, debug.mode = FALSE, endpoint = “”, locale = “en_US”)
Client id from your app in the Adobe Marketing cloud Dev Center OR if you are using auth.method=’legacy’, then this is the API username (username:company)
Secret from your app in the Adobe Marketing cloud Dev Center OR if you are using auth.method=’legacy’, then this is the API shared secret
Your company (only required if using OAUTH2 AUTH method)
If you would like to save your OAUTH token and other auth details for use in future sessions, specify a file here. The method checks for the existence of the file and uses that if available.
Defaults to legacy, can be set to ‘OAUTH2’ to use the newer OAUTH method.
Set global debug mode
Set Adobe Analytics API endpoint rather than let RSiteCatalyst decide (not recommended)
Set encoding for reports (defaults to en_US)
Authorize and store credentials for the Adobe Analytics API
Global credentials list ‘SC.Credentials’ in AdobeAnalytics (hidden) environment
The list of locale values can be obtained from the Adobe Analytics documentation:
After loading the library by library(RSiteCatalyst) command use the below command to authenticate.
Note:It a sample for example purpose only,use your own correct user key and secret.
Sample Code :
metrics = “visits”,
elements = c(“evar10″,”mobiledevicetype”),
segment.id = c(“s300000988_5be8bc302b36874afe33502f”,”s300000899_5bedfc3e706e9e558c910e1a”),
date.granularity = “day”,
interval.seconds = 300,
top = 30000
,expedite = TRUE
,enqueueOnly = TRUE
trended<-GetReport(trended_id, interval.seconds = 5, max.attempts = 5)
Note: RSiteCatalyst is a community-driven, open-source effort, not an official package from Adobe. As such, bug fixes and improvements rely on a vibrant community of users and developers contributing their free time and resources.
Recently I was struggling to open Large CSV files and I was using Excel 2013 on Windows 7 64-bit machine.When I was opening big CSV it was throwing error.
With Excel 2013,it is said that the limit is now gone the only restriction is your machines memory. However, you can still not edit the raw data, only handle (DAX) and aggregate (pivot tables) them! The row limit in Excel 2013 is still 1,048,576.
At that point I started searching for Software which can open large file,then I came across Delimit and it was very helpful.
Features are as follow:
- Quickly open any delimited data file.
- Edit any cell.
- Easily convert files from one delimiter to another like CSV to TAB.
- Split-up any delimited file into file parts of equal size.
- Join multiple delimited files into one resulting file.
- Quickly select which columns to extract and in which order.
- Extract data from any delimited file by specifying the columns,rows and/or filter to apply.
- Sort any delimited data file based on cell content.
- Remove duplicate rows based on user specified columns.
- Bookmark any cell for quick subsequent access.
- Open large delimited data files; 100s of MBs or GBs in size!
- Open data files up to 2 billion rows and 2 million columns large!
- Work with: character delimited, string delimited, fixed column width or just plain text files.
- Quickly see all your bookmarks, double-click to jump to any of them or click to rename.
- Keep track of long running operations.
- Keep track of the current selection.
- Scroll to any part of the file or split the view into multiple panes.
- Freeze the 1st row of any file.
- Open multiple files and quickly switch between them.
- Configure built-in and custom file delimitation rules for automatic parsing of files.
It is available with 15 day free Trial and can be downloaded from http://www.delimitware.com/
Other option to open big file is Sublime Text.It is a proprietary cross-platform source code editor with a Python application programming interface.Click here to download.
Recently I came across another tool which is also helpful: https://www.emeditor.com/download/