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All Blog Posts Tagged 'dsc_code' (107)

Recent Java enhancements for numeric calculations

In the past, slow evaluation of mathematical functions and large memory footprint were the most significant drawbacks of Java compared to C++/C for numeric computations and scientific data analysis. However, recent enhancements in the Java Virtual Machine (JVM) enabled faster and better numerical computing due to several enhancements in evaluating trigonometric functions.

In this article we will use the DataMelt (https://datamelt.org) for our…

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Added by jwork.ORG on November 7, 2020 at 10:21am — No Comments

Solving a few AI problems with Python: Part 1

In this blog we shall discuss about a few problems in artificial intelligence and their python implementations. The problems discussed here appeared as programming assignments in the edX course CS50’s Introduction to Artificial Intelligence with Python…

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Added by Sandipan Dey on November 6, 2020 at 1:30am — No Comments

Java: What Makes it the Top Choice for Data Science

Data science uses algorithms, tools, and technologies to identify patterns in data and eventually glean valuable insights from the raw data. Simply put, it allows us to make sense of all that abundance of data that we seem to have all around us. We don’t have to tell you why data science has quickly gained popularity globally, with more and more companies and enterprises seeking to integrate it into their operations. It is by undertaking the development of relevant tools and software, of…

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Added by Ryan Williamson on November 3, 2020 at 3:00am — No Comments

Applied Data Science with Python

The demand and the supply gap for a data scientist are ever-increasing. In fact, in one of its surveys, IBM predicts increment in data science jobs to be 364,000 to 2720,000 in 2020 which is only going upwards in the subsequent years. Python, as a programming language, is immensely popular for building data science-based applications owing to its simplicity, and large community support and ease of deployment.

Our Data Science with Python online course has been…

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Added by Lokesh on October 19, 2020 at 1:00am — 2 Comments

Genius Tool to Compare Best Time-Series Models For Multi-step Time Series Modeling

Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…

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Added by Sharmistha Chatterjee on October 17, 2020 at 10:30pm — No Comments

Post-scripting to Deal with Complex SQL Queries

SQL (or the stored procedure) can handle most of the database computations. If the computations are complex or hard to deal in SQL, we use another programming language to read data out of the database to manipulate it. Such a programming language handles the data read and manipulation with a simple script. So we call the process the post-SQL scripting.

The scenarios that SQL is not good at handling include complex set-based operations, order-based operations,…

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Added by Jerry Cruise on October 1, 2020 at 8:30am — No Comments

Most Useful C/C++ ML Libraries Every Data Scientist Should Know

Importance of C++ in Data Science and Big Data

Introduction and Motivation – Why C++

C++ is ideal for dynamic load balancing, adaptive…

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Added by Sharmistha Chatterjee on September 24, 2020 at 8:30am — 2 Comments

CALL SYMPUT in SAS Explained with Examples

CALL SYMPUT and CALL SYMPUTX



CALL SYMPUT and CALL SYMPUTX in SAS are the most commonly used DATA Step call routines to interact with the Macro Facility in SAS. Both are used to assign a value of DATA step to a macro variable.

SYNTAX:

CALL SYMPUT(macro-variable, value);



Arguments are macro-variable and can be one of the following items:

  • a character string that is a SAS name, enclosed in quotation…
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Added by Subhro Kar on September 17, 2020 at 7:30pm — No Comments

4 Steps to Building a Video Search System

Image for post

As its name suggests, searching for videos by image is the process of retrieving from the repository videos containing similar frames to the input image. One of the key steps is to turn…

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Added by Kate Shao on September 11, 2020 at 10:30pm — No Comments

A Programming Guide with Probability and Statistics

Probability and Statistics- the terms which resonate together to create the vast applications of the fields of Data Science and Machine Learning, have immensely grown a huge followers’ base in this era. But programming the concept sometimes gets tricky and requires a lot of contemplation on the code. Allen B. Downey, in his ‘Think’ series has written a book to solve just the problem for everyone.…

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Added by Andrea Manero-Bastin on August 25, 2020 at 5:30am — No Comments

New book "Hands-on Machine Learning with C++".

Hi, I'm introducing a book I wrote, "Hands-on Machine Learning with C++." It can help you to discover new ways of using C++ for Machine learning development. It will show you how to use C++ libraries for different aspects of ML from fundamentals to real-world examples. You will see examples of product recommendations, ensemble learning, anomaly detection, image classification, sentiment analysis, and others. Programming examples are written with modern C++ libraries such as PyTorch C++ API,…

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Added by Kyrylo Kolodiazhnyi on August 25, 2020 at 4:30am — No Comments

Summarizing Most Popular Text-to-Image Synthesis methods with Python

Comparative Study of Different Adversarial Text to Image Methods

Introduction

Automatic synthesis…

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Added by Sharmistha Chatterjee on August 17, 2020 at 2:00am — No Comments

Feature engine python package for feature engineering

 

In this post, we explore a new python package for feature engineering

 

Feature engineering is the process of using domain knowledge of the data to transform existing features or to create new variables from existing ones, for use in machine learning. Using feature engineering, we can pre-process raw data and make it suitable…

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Added by ajit jaokar on August 1, 2020 at 5:52am — No Comments

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,…

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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

Heat / Diffusion Equation

f15 f17

The following animation shows how the temperature changes on the bar with time (considering only the first 100 terms for the Fourier series for the square wave).…

heat3

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Added by Sandipan Dey on July 12, 2020 at 10:00am — 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…

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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…
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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…

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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…

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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…

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Added by jwork.ORG on June 21, 2020 at 5:30pm — 2 Comments

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