Illustrative introductions on dimension reduction
"What is your image on dimensions?"
....That might be a cheesy question to ask to reader of Data Science Blog, but most…
Spiky cubes, Pac-Man walking, empty M&M's chocolate: curse of dimensionality
"Curse of dimensionality" means the difficulties of machine learning which arise when the dimension of data is higher. In…
Back propagation of LSTM: just get ready for the most tiresome part
First of all, the summary of this article is "please just download my Power Point slides and be patient, following the equations."…
How to develop digital products and solutions for industrial environments?
In this article, we substantiate why Data Science and Engineering should be introduced as new engineering discipline in the Product Lifecycle Management process.
Understanding LSTM forward propagation in two ways
*This article is only for the sake of understanding the equations in the second page of the paper named "LSTM: A Search Space…
Hypothesis Test for real problems
A statistical hypothesis is a belief made about a population parameter. This belief may or might not be right. In other words, hypothesis testing is a proper technique utilized by scientist to support or reject statistical hypotheses. The foremost ideal approach to decide if a statistical hypothesis is correct is examine the whole population.
Must-have Skills to Master Data Science
The need to process a massive amount of data sets is making Data Science the most-demanded job across diverse industry verticals.…
Process Mining mit Celonis - Artikelserie
Insgesamt stellt Celonis ein unabhängiges und leistungsstarkes Process Mining Tool bereit, wobei der Anwender die Wahl zwischen einer on-Premise-Lösung sowie einer Cloud-Lösung hat. Die „prebuild Process-Connectors“ und die vordefinierten Analysen können ein Process Mining Projekt signifikant beschleunigen und somit die Time-to-Value lukrativ verkürzen. Die Analyse Tools sind leicht bedienbar und schaffen dank integrierter Machine Learning Algorithmen Optimierungspotentiale.
AI Voice Assistants are the Next Revolution: How Prepared are You?
According to Jeff Bezos, Amazon CEO, he says we’re already living in the golden era of artificial intelligence as such where the voice assistant flagship already exists, i.e. Alexa.
Krisenerkennung und -bewältigung mit Daten und KI
/0 Comments/in Artificial Intelligence, Big Data, Business Analytics, Data Science, Data Science News, Main Category /by Benjamin AunkoferWie COVID-19 unser Verständnis für Daten und KI verändert Personenbezogene Daten und darauf angewendete KI galten hierzulande als ein ganz großes Pfui. Die Virus-Krise ändert das – Zurecht und mit großem Potenzial auch für die Wirtschaft. Aber vorab, wie hängen Daten und Künstliche Intelligenz (KI) eigentlich zusammen? Dies lässt sich einfach und bildlich erläutern, denn […]
Einführung in die Welt der Autoencoder
/0 Comments/in Artificial Intelligence, Big Data, Data Mining, Data Science, Data Science Hack, Deep Learning, Main Category, Python, TensorFlow, Tutorial /by Hoang Tu NguyenAn wen ist der Artikel gerichtet? In diesem Artikel wollen wir uns näher mit dem neuronalen Netz namens Autoencoder beschäftigen und wollen einen Einblick in die Grundprinzipien bekommen, die wir dann mit einem vereinfachten Programmierbeispiel festigen. Kenntnisse in Python, Tensorflow und neuronalen Netzen sind dabei sehr hilfreich. Funktionsweise des Autoencoders Ein Autoencoder ist ein neuronales […]
Customer Journey Mapping: The data-driven approach to understanding your users
/2 Comments/in Business Analytics, Customer Analytics, Uncategorized /by Tap LondonBusinesses across the globe are on a mission to know their customers inside out – something commonly referred to as customer-centricity. It’s an attempt to better understand the needs and wants of customers in order to provide them with a better overall experience. But while this sounds promising in theory, it’s much harder to achieve […]
Article series: 5 Clean Coding Tips – 2. Name Variables in a Meaningful Way
/0 Comments/in Python, Tool Introduction, Tutorial /by Emilia CheladzeThis is the second of the article series “5 tips for clean coding” to follow as soon as you’ve made the first steps into your coding career, in this article series. Read the introduction here, to find out why it is important to write clean code if you missed it. When it comes to naming […]
How Important is Customer Lifetime Value?
/2 Comments/in Data Mining, Data Science, Experience, Insights, Tutorial, Use Cases /by Aakash ChughThis is the third article of article series Getting started with the top eCommerce use cases. Customer Lifetime Value Many researches have shown that cost for acquiring a new customer is higher than the cost of retention of an existing customer which makes Customer Lifetime Value (CLV or LTV) one of the most important KPI’s. […]
Matrix search: Finding the blocks of neighboring fields in a matrix with Python
/0 Comments/in Mathematics, Python, Tutorial /by Emilia CheladzeTask In this article we will look at a solution in python to the following grid search task: Find the biggest block of adjoining elements of the same kind and into how many blocks the matrix is divided. As adjoining blocks, we will consider field touching by the sides and not the corners. Input data […]
Article series: 5 Clean Coding Tips – 1. Be Consistent
/0 Comments/in Python, Tool Introduction, Tutorial /by Emilia CheladzeThis is the first of the article series “5 tips for clean coding” to follow as soon as you’ve made the first steps into your coding career, in this article series. Read the introduction here, to find out why it is important to write clean code if you missed it. Consistency is THE rule to […]
5 Applications for Location-Based Data in 2020
/1 Comment/in Data Science, Uncategorized /by Kaylae MatthewsLocation-based data enables giving people relevant information based on where they are at any given moment. Here are five location data applications to look for in 2020 and beyond. 1. Increasing Sales and Reducing Frustration One 2019 report indicated that 89% of the marketers who used geo data saw increased sales within their customer bases. Sometimes, […]
CAPTCHAs lösen via Maschine Learning
/1 Comment/in Artificial Intelligence, Data Science, Deep Learning, Insights, Machine Learning, Main Category /by Pavel ShipilovWie weit ist das maschinelle Lernen auf dem Gebiet der CAPTCHA-Lösung fortgeschritten? Maschinelles Lernen ist mehr als ein Buzzword, denn unter der Haube stecken viele Algorithemen, die eine ganze Reihe von Problemen lösen können. Die Lösung von CAPTCHA ist dabei nur eine von vielen Aufgaben, die Machine Learning bewältigen kann. Durch die Arbeit an ein […]
Article series: 5 Clean Coding Tips
/0 Comments/in Main Category, Python, Software Development, Tool Introduction, Tutorial /by Emilia CheladzeThis series of articles will cover 5 clean coding tips to follow as soon as you’ve made the first steps into your coding career, with the example of python. At the beginning of your adventure with coding, you might find that getting your code to compile without any errors and give you the output that […]