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Buzzword Bingo: Data Science – Teil II

July 8, 2022/in Artificial Intelligence, Big Data, Business Analytics, Data Engineering, Data Mining, Data Science, Deep Learning, Insights, Machine Learning, Main Category/by Julius Meier

Im ersten Teil unserer Serie „Buzzword Bingo: Data Science“ widmeten wir uns den Begriffen Künstliche Intelligenz, Algorithmen und Maschinelles Lernen. Nun geht es hier im zweiten Teil weiter mit der Begriffsklärung dreier weiterer Begriffe aus dem Data Science-Umfeld.

5 Apache Spark Best Practices

July 4, 2022/in Big Data, Data Science Hack, Tool Introduction, Tools/by Sai Priya

Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner. Apache Spark began as a research project at UC Berkeley’s AMPLab, a student, researcher, and faculty collaboration centered on data-intensive application domains, in 2009.

Stop saying “trial and errors” for now: seeing reinforcement learning through some spectrums

July 1, 2022/in Artificial Intelligence, Data Science, Deep Learning/by Yasuto Tamura

Some of you might have got away with explaining reinforcement learning (RL) only by saying an obscure thing like “RL enables computers to learn through trial and errors.” But if you have patiently read my articles so far, you might have come to say “RL is a family of algorithms which simulate procedures similar to dynamic programming (DP).”

3 Types of Preventative Maintenance for Data Centers

June 28, 2022/in Predictive Analytics/by Shannon Flynn

Image Source: source unsplash.com Downtime for a data center can be extraordinarily costly — potentially leading to lost revenue, lost customers and a damaged reputation. Preventative maintenance (PM) helps keep […]

It’s All About Data: The Training of AI Models

June 20, 2022/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Main Category/by Benjamin Aunkofer

In deep learning, there are different training methods. Which one we use in an AI project depends on the data provided by our customer: how much data is there, is it labeled or unlabeled? Or is there both labeled and unlabeled data?

Buzzword Bingo: Data Science – Teil I

June 16, 2022/in Artificial Intelligence, Data Mining, Data Science, Deep Learning, Machine Learning, Main Category/by Julius Meier

Der im Bereich der Data Science u. a. am häufigsten genutzte Begriff ist derjenige der „Künstlichen Intelligenz“.

6 Faktoren, wie Process Mining Projekte zum Erfolg werden

June 13, 2022/in Business Analytics, Business Intelligence, Insights, Main Category, Process Mining/by Benjamin Aunkofer

Nach dutzenden Process Mining Projekten mit unterschiedlichen Rahmenbedingungen gebe ich hier nun sechs handfeste Hinweise, wie Process Mining Projekte generell zum Erfolg werden.

Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning

June 9, 2022/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Main Category/by Jieyun Hu

This article focuses on autonomous trading agent to solve the capital market portfolio management problem. Researchers aim to achieve higher portfolio return while preferring lower-risk actions. It uses deep reinforcement learning Deep Q-Network (DQN) to train the agent.

Wie Maschinen uns verstehen: Natural Language Understanding

June 3, 2022/in Artificial Intelligence, Data Mining, Data Science, Deep Learning, Insights, Machine Learning, Main Category, Natural Language Processing/by Niklas Lang

Natural Language Understanding (NLU) ist ein Teilbereich von Computer Science, der sich damit beschäftigt natürliche Sprache, also beispielsweise Texte oder Sprachaufnahmen, verstehen und verarbeiten zu können. Das Ziel ist es, dass eine Maschine in der gleichen Weise mit Menschen kommunizieren kann, wie es Menschen untereinander bereits seit Jahrhunderten tun.

How Online Businesses Can Mitigate Fraud Risk

June 2, 2022/in Insights/by Nadica Metuleva

Fraud has the potential to shatter businesses of all sizes and in all industries. Now that many businesses operate online at least partially, if not completely, the fraud risks are […]