Data visualization simply means the creation and analysis of data represented visually. Data abstraction and representation is done in various forms with several attributes and variables serving as units of information.
There are myriad of free Data Visualization Tools available over Internet, amongst them we have compiled a list of 20 Free Data Visualization Tools to serve your purpose, following tools allow end user to view all types of data and to better understand this data provided within a visually defined manner – and this is the definitive purpose
A conditional probability is the probability of an event, given some other event has already occurred. In the below example, there are two possible events that can occur. A ball falling could either hit the red shelf (we'll call this event A) or hit the blue shelf (we'll call this event B) or both.
If we know the statistics of these events across the entire population and then were to be given a single ball and told "this ball hit thered shelf (event A), what's the probability it also hit the blue shelf (event B)?" we could answer this question by providing the conditional probability of B given that A occurred or P(B|A).
Vital personal and business information flows over the Internet more frequently than ever, and we don't always know when it's happening. It's clear at this point that encrypting is something all of us should be doing. Then why don’t we use TLS (the successor to SSL) everywhere? Every browser in every device supports it. Every server in every data center supports it. Why don’t we just flip the switch?
Python is amazing. Created to be general-purpose, high-level programming language. Python is a "fun to use" language, named after Monty Python’s Flying Circus. Combines "remarkable power with very clear syntax" and provides a large and comprehensive standard library. The "standard library" is a collection of code already written and directly available to you. That’s a good thing: it means people have written code for most applications you could be thinking of. multi-paradigm programming language permitting several styles: object-oriented, structured,functional and aspect-oriented. Application domains: web development, database access, desktop GUIs, education, scientific and numeric computing, network programming, game and 3D graphics. "Python has been an important part of Google since the beginning, and remains so as the system grows and evolves. Today dozens of Google engineers use Python, and we're looking for more people with skills in this language." Peter Norvig, Director at Google, Inc.
Iranian pop star Morteza Pashaei has died of stomach cancer in the Iranian capital, Tehran.
Pashaei, with millions of Persian-speaking fans across the world, passed away in Bahman Hospital on Friday.
The 30-year-old had been suffering from stomach cancer for several months. On Tuesday, he was taken out of the Intensive Care Unit (ICU) of the hospital after his chemotherapy for the aggressive cancer failed him.The graphic design student was interested in art since childhood. He started music at 14 through playing the guitar.
Pashaei is to be buried at Behesht-e Zahra cemetery, south of Tehran, on Sunday.
Gole Bita, Yeki Hast (There's someone) and Esme Eshqe (The name of love) are among the albums released by Pashaei.
import.io is a web-based platform for extracting data from websites without writing any code. The tool allows people to create an API using their point and click interface. Users navigate to a website and teach the app to extract data by highlighting examples of data from the page, learning algorithms then generalise from these examples to work out how to get all the data on the website. The data that users collect is stored on import.io’s cloud servers and can be downloaded as CSV, Excel, Google Sheets or JSON and shared. Users can also generate an API from the data allowing them to easily integrate live web data into their own applications or third party analytics and visualization software. For more technical users, import.io offers real-time data retrieval through JSON REST-based and streaming APIs, integration with several common programming languages and data manipulation tools, as well as a federation platform which allows up to 100 data sources to be queried simultaneously.
In this article we will discuss how you can build easily a simple Facebook Sentiment Analysis tool capable of classifying public posts (both from users and from pages) as positive, negative and neutral. We are going to use Facebook’s Graph API Search and the Datumbox API 1.0v. Similar to the Twitter Sentiment Analysis tool that we built few months back, this implementation is written in PHP nevertheless you can build very easily your own tool in the computer language of your choice.The complete PHP code of the tool can be found on Github...
I am happy to announce that the Datumbox Machine Learning Framework is now open sourced under GPL 3.0 and you can download its code from Github!
What types of models/algorithms are supported? The framework is divided in several Layers such as Machine Learning, Statistics, Mathematics, Algorithms and Utilities. Each of them provides a series of classes that are used for training machine learning models. The two most important layers are the Statistics and the Machine Learning layer.
The Statistics layer provides classes for calculating descriptive statistics, performing various types of sampling, estimating CDFs and PDFs from commonly used probability distributions and performing over 35 parametric and non-parametric tests. Such types of classes are usually necessary while performing explanatory data analysis, sampling and feature selection.
The Machine Learning layer provides classes can be used in a large number of problems including Classification, Regression, Cluster Analysis, Topic Modeling, Dimensionality Reduction, Feature Selection, Ensemble Learning and Recommender Systems. Here are some of the supported algorithms: LDA, Max Entropy, Naive Bayes, SVM, Bootstrap Aggregating, Adaboost, Kmeans, Hierarchical Clustering, Dirichlet Process Mixture Models, Softmax Regression, Ordinal Regression, Linear Regression, Stepwise Regression, PCA and more.