Data Science Blog – Applied Data Science

Digital und Data braucht Vorantreiber

January 14, 2021/0 Comments/in Gerneral, Insights, Main Category /by Benjamin Aunkofer

2020 war das Jahr der Trendwende hin zu mehr Digitalisierung in Unternehmen: Telekommunikation und Tools für Unified Communications & Collaboration (UCC) wie etwa Microsoft Teams oder Skype boomen genauso wie der digitale Posteingang und das digitale Signieren von Dokumenten. Die Vernetzung und Automatisierung ganz im Sinne der Industrie 4.0 finden nicht nur in der Produktion […]

CRISP-DM methodology in technical view

January 6, 2021/0 Comments/in Business Analytics, Data Mining, Data Science, Machine Learning, Main Category, Projectmanagement /by Ahamed Al Farabi

On this paper discuss about CRISP-DM (Cross Industry Standard Process for data mining) methodology and its steps including selecting technique to successful the data mining process. Before going to CRISP-DM it is better to understand what data mining is? So, here first I introduce the data mining and then discuss about CRISP-DM and its steps […]

Instructions on Transformer for people outside NLP field, but with examples of NLP

December 30, 2020/0 Comments/in Artificial Intelligence, Data Mining, Data Science, Deep Learning, Machine Learning, Main Category, Mathematics, Natural Language Processing, Predictive Analytics /by Yasuto Tamura

I found it quite difficult to explain mathematical details of long short-term memory (LSTM) in my previous article series. But when I was studying LSTM, a new promising algorithm was already attracting attentions. The algorithm is named Transformer. Its algorithm was a first announced in a paper named “Attention Is All You Need,” and it […]

Select the Right career path between Software Developer and Data Scientist

December 27, 2020/0 Comments/in Carrier, Gerneral, Insights /by Matthew Simons

In today’s digital day and age, a software development career is one of the most lucrative ones. Custom software developers abound, offering all sorts of services for business organizations anywhere in the world. Software developers of all kinds, vendors, full-time staff, contract workers, or part-time workers, all are important members of the Information Technology community. […]

How Healthcare Is Cracking Down on Data Privacy

December 19, 2020/0 Comments/in Data Security /by Shannon Flynn

The COVID-19 pandemic emerged more than a year ago, and come March, the United States will also pass the one-year anniversary of the novel coronavirus’ arrival in our nation. Hospitals have become overrun with patients, having to adjust for space even when they’re at full capacity. The colder months are bringing on more infections as […]

Top 10 Python Libraries Of All Time

December 4, 2020/0 Comments/in Data Science Hack, Insights, Python, Tool Introduction /by Harikrishna Kundariya

Python is a very popular and renowned language that has replaced several programming languages in the market. Its amazing collection of libraries makes it a convenient programming language for developers. Python is an ocean of libraries serving an ample number of purposes and as a developer; you must possess sound knowledge of the 10 libraries. […]

Turbocharge Business Analytics With In-memory Computing

December 3, 2020/0 Comments/in Big Data, Data Engineering, InMemory, Main Category /by Edward Huskin

One of the customer traits that’s been gradually diminishing through the years is patience; if a customer-facing website or application doesn’t deliver real-time or near-instant results, it can be a reason for a customer to look elsewhere. This trend has pushed companies to turn to in-memory computing to get the speed needed to address customer […]

The algorithm known as PCA and my taxonomy of linear dimension reductions

November 23, 2020/0 Comments/in Artificial Intelligence, Big Data, Data Mining, Data Science, Machine Learning, Main Category, Mathematics, Statistics /by Yasuto Tamura

In one of my previous articles, I explained the importance of reducing dimensions. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are the simplest types of dimension reduction algorithms. In upcoming articles of mine, you are going to see what these algorithms do. In conclusion, diagonalization, which I mentioned in the last article, is […]

Web Scraping Using R..!

November 18, 2020/0 Comments/in Data Engineering, Data Migration, Data Science Hack, Main Category, R Statistics, Tool Introduction, Tutorial /by Gyan Vardhan

In this blog, I’ll show you, How to Web Scrape using R..? What is R..? R is a programming language and its environment built for statistical analysis, graphical representation & reporting. R programming is mostly preferred by statisticians, data miners, and software programmers who want to develop statistical software. R is also available as Free […]

Determining Your Data Pipeline Architecture and Its Efficacy

November 9, 2020/0 Comments/in Data Engineering, Main Category /by Shannon Flynn

Data analytics has become a central part of how many businesses operate. If you hope to stay competitive in today’s market, you need to take advantage of all your available data. For that, you’ll need an efficient data pipeline, which is often easier said than done. If your pipeline is too slow, your data will […]