All Blog Posts Tagged 'dsc_code' (37)

Overview on Forecasting Models in Power BI

Time Series forecasting in PBI is based on the thumb technique of smoothening time series prediction called Exponential Smoothening (ES). ES of time series data assigns exponentially decreasing weights for newest to oldest observations. ES is also be used for time series with trend and seasonality. This model is usually used to make short term forecasts, as longer-term forecasts using this technique can be quite unreliable. Collectively, the methods are sometimes referred to as ETS models,…


Added by Vigneswaran S on July 19, 2020 at 1:01am — No Comments

Fourier Series and Differential Equations with some applications in R and Python (Part 2)

This is the 2nd part of the article on a few applications of Fourier Series in solving differential equations. All the problems are taken from the edx Course: MITx - 18.03Fx: Differential Equations Fourier Series and Partial Differential Equations. The article…


Added by Sandipan Dey on July 4, 2020 at 5:00pm — No Comments

Fourier Series and Differential Equations with some applications in R (Part 1)

In this article, a few applications of Fourier Series in solving differential equations will be described. All the problems are taken from the edx Course: MITx - 18.03Fx: Differential Equations Fourier Series and Partial Differential Equations. The article will be posted in two parts (two separate blongs)

First a basic introduction to the Fourier series will be given and then we shall see how to solve the following ODEs / PDEs using Fourier series:

  1. Find…

Added by Sandipan Dey on July 4, 2020 at 5:00pm — 3 Comments

Getting Historical Data from Yahoo Finance in R

Yahoo Finance (below) is a website that gives us a good deal of information about the financial market, including information about stock trading.

To get the numbers for a specific stock, all you have to do is to search for its Yahoo code (ex: VALE - see figure below). This is not necessarily the company’s…


Added by Norton Trevisan Roman on June 26, 2020 at 10:00am — No Comments

Free book – for #datascience interviews - Guide to competitive programming

Recently Springer made some good books on maths free to download.

Competitive programming strategies are useful for many data science interviews and they help to improve your maths foundations.  There are not many books on this subject (although there are many good websites and YouTube resources).

So, I hope you find this book…


Added by ajit jaokar on June 23, 2020 at 12:00pm — 5 Comments

Stunning 3D visualization with JavaView

JavaView(http://www.javaview.de/) is a 3D geometry viewer and a mathematical visualization software known since 90x. The program is written in Java, and enables a smooth integration into commercial…


Added by jwork.ORG on June 21, 2020 at 5:30pm — No Comments

Herodotus Event Data Object - Glimpse Inside

I dropped out of university as a literature major in the 1980s.  (I needed time to find myself.)  Before I left, I read The Histories by the ancient Greek historian Herodotus.  I decided to name my new data object the Herodotus Event Data Object or HEDO.  A number of HEDOs can be stitched together to form codified narrative.  Those who follow my blogs might recall that I previously developed a system of codified narrative called BERLIN.  HEDOs represent my reinvention of BERLIN.  I…


Added by Don Philip Faithful on June 19, 2020 at 1:30pm — No Comments

Milvus × VGG: Building a Content-based Image Retrieval System


When you heard “Search by Image”, did you first think of the reverse image search function by search engines such as Baidu and Google? In fact, you can build your own image search system: build your own picture library; select a picture to search in the library…


Added by Kate Shao on June 17, 2020 at 3:00am — No Comments

Stock price prediction using LSTM (Long Short-Term Memory)

In this article, I am going to show how to write python code that predicts the price of stock using Machine Learning technique that Long Short-Term Memory (LSTM).

Algorithm Selection

LSTM could not process a single…


Added by Thenuja Shanthacumaran on June 13, 2020 at 8:30am — 3 Comments

Reinforcement Learning (Q-learning) - An Introduction (Part 1)

Have you heard about AI learning to play computer games on their own and giving tough competitions to expert Human gamers?

A very popular example being Deepmind whose AlphaGo program defeated the South Korean Go world champion in 2016. Other than this there are other AI agents developed with the intent of playing Atari games like…


Added by Nitin Agarwal on June 4, 2020 at 7:51pm — No Comments

Johns Hopkins Covid-19 Data and R, Part II, data.table functions and graphics, plus R-Naught.

Summary: This blog is part II of a series showcasing management and analytics of the daily U.S. Covid-19 case/death data published by the Center for Systems Science and Engineering at Johns…


Added by steve miller on June 2, 2020 at 8:33am — No Comments

5 Most Popular Measures For Capturing Forecasting Error For Time Series

This article is chunk from one of my blog posts on Arima time series forecasting with Python It is a pretty extensive tutorial and until and unless you are not really interested in learning in and outs of about ARIMA time series forecasting don't bother to click. 

But I do wanted to share this list of 5 very useful metrics for a…


Added by Mohit Sharma on June 1, 2020 at 8:30pm — No Comments

New Probabilistic Approach to Factoring Big Numbers

Product of two large primes are at the core of many encryption algorithms, as factoring the product is very hard for numbers with a few hundred digits. The two prime factors are associated with the encryption keys (public and private keys). Here we describe a new approach to factoring a big number that is the product of two primes of roughly the same size. It is designed especially to handle this problem and identify flaws in encryption algorithms.  

While at first glance it appears…


Added by Vincent Granville on May 27, 2020 at 8:00am — No Comments

Differential ML on TensorFlow and Colab

Brian Huge and I just posted a working paper following six months of…


Added by Antoine Savine on May 25, 2020 at 11:30am — No Comments

Entropy of rolling dices

The Entropy is one of the most important concepts in many fields like physics, mathematics, information theory, etc.

Entropy is related to the number of states that one stochastic system can take and how this system will evolve with time, in such a way that the uncertainty will be maximized.

This will happened y two ways, first, every system will choose the configuration with a higher degree of entropy among all that are available and second, if we let the system evolve, after…


Added by Pablo Gutierrez on May 21, 2020 at 6:53am — No Comments

A Data Scientist’s Perspective on Microsoft R

This article was written by Lixun Zhang.

As a data scientist, I have experience with R. Naturally, when I was first exposed to Microsoft R Open (MRO, formerly Revolution R Open) and Microsoft R Server (MRS, formerly Revolution R Enterprise), I wanted to know the answers for 3 questions:

  • What do R, MRO, and MRS…

Added by Andrea Manero-Bastin on May 5, 2020 at 10:30am — No Comments

What is Web Scraping and How Does It Work

Web scraping, also known as web harvesting and  web data extraction, basically refers to collecting data from websites via the Hypertext Transfer Protocol (HTTP) or through web browsers. 

How does web scraping work?

Generally, web scraping involves three steps: 

  • first, we send a GET request to the server and we will receive a response in a form of web…

Added by Erika Foo on March 16, 2020 at 12:30am — No Comments

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