How Data Science Is Helping to Detect Child Abuse
Image Source: pixabay.com
There is no good way to begin a conversation about child abuse or neglect. It is a sad and oftentimes…
Seq2seq models and simple attention mechanism: backbones of NLP tasks
This is the second article of my article series "Instructions on Transformer for people outside NLP field, but with examples…
Data Mining Process flow – Easy Understanding
1 Overview
Development of computer processing power, network and automated software completely change and give new concept…
Digital Data Taxes in China: How Would Big Tech Be Affected?
As 2020 came to a close, Chinese officials hinted at new data regulations on the horizon. Yao Qian, a Chinese securities…
On the difficulty of language: prerequisites for NLP with deep learning
This is the first article of my article series "Instructions on Transformer for people outside NLP field, but with examples…
Role of Data Science in Education
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Data science is a new science that appeared thanks to a lot of reasons. The first reason is that nowadays,…
Digital und Data braucht Vorantreiber
2020 war das Jahr der Trendwende hin zu mehr Digitalisierung in Unternehmen: Telekommunikation und Tools für Unified Communications…
Die Notwendigkeit von DevOps in Data Science
/0 Comments/in Data Engineering /by Lea KrauseDatenwissenschaft und maschinelles Lernen werden häufig mit Mathematik, Statistik, Algorithmen und Datenstreitigkeiten in Verbindung gebracht. Während diese Fähigkeiten für den Erfolg der Implementierung von maschinellem Lernen in einem Unternehmen von zentraler Bedeutung sind, gewinnt eine Funktion zunehmend an Bedeutung – DevOps for Data Science. DevOps umfasst die Bereitstellung der Infrastruktur, das Konfigurationsmanagement, die kontinuierliche Integration und […]
How Data Science Is Helping to Detect Child Abuse
/0 Comments/in Insights /by Luke SmithImage Source: pixabay.com There is no good way to begin a conversation about child abuse or neglect. It is a sad and oftentimes sickening topic. But the fact of the matter is it exists in our world today and frequently goes unnoticed or unreported, leaving many children and young adults to suffer. Of the nearly […]
Seq2seq models and simple attention mechanism: backbones of NLP tasks
/0 Comments/in Uncategorized /by Yasuto TamuraThis is the second article of my article series “Instructions on Transformer for people outside NLP field, but with examples of NLP.” 1 Machine translation and seq2seq models I think machine translation is one of the most iconic and commercialized tasks of NLP. With modern machine translation you can translate relatively complicated sentences, if you […]
How to Efficiently Manage Big Data
/0 Comments/in Big Data, Main Category /by Edward HuskinThe benefits of big data today can’t be ignored, especially since these benefits encompass industries. Despite the misconceptions around big data, it has shown potential in helping organizations move forward and adapt to an ever-changing market, where those that can’t respond appropriately or quickly enough are left behind. Data analytics is the name of the […]
Data Mining Process flow – Easy Understanding
/0 Comments/in Artificial Intelligence, Data Mining, Data Science, Deep Learning, Machine Learning, Main Category, Predictive Analytics, Statistics /by Ahamed Al Farabi1 Overview Development of computer processing power, network and automated software completely change and give new concept of each business. And data mining play the vital part to solve, finding the hidden patterns and relationship from large dataset with business by using sophisticated data analysis tools like methodology, method, process flow etc. On this paper, […]
Digital Data Taxes in China: How Would Big Tech Be Affected?
/1 Comment/in Data Science News /by Shannon FlynnAs 2020 came to a close, Chinese officials hinted at new data regulations on the horizon. Yao Qian, a Chinese securities official, stated that China should impose a digital data tax on some tech companies. Considering big tech’s prominent presence in the country, these taxes, if enacted, could have considerable impacts on the industry. The […]
On the difficulty of language: prerequisites for NLP with deep learning
/0 Comments/in Artificial Intelligence, Big Data, Data Mining, Data Science, Data Science Hack, Deep Learning, Machine Learning, Main Category, Natural Language Processing, Python, TensorFlow, Text Mining /by Yasuto TamuraThis is the first article of my article series “Instructions on Transformer for people outside NLP field, but with examples of NLP.” 1 Preface This section is virtually just my essay on language. You can skip this if you want to get down on more technical topic. As I do not study in natural language […]
Operational Data Store vs. Data Warehouse
/0 Comments/in Data Engineering, Data Warehousing /by Edward HuskinOne of the main problems with large amounts of data, especially in this age of data-driven tools and near-instant results, is how to store the data. With proper storage also comes the challenge of keeping the data updated, and this is the reason why organizations focus on solutions that will help make data processing faster […]
Role of Data Science in Education
/0 Comments/in Education / Certification, Sponsoring Partner Posts /by Editorial StaffAd / Sponsored Post Data science is a new science that appeared thanks to a lot of reasons. The first reason is that nowadays, we have enough capacity to gather data and later work with it. The second reason is that society accumulates a lot of information every minute, and gadgets can save and then […]
Digital und Data braucht Vorantreiber
/0 Comments/in Gerneral, Insights, Main Category /by Benjamin Aunkofer2020 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 […]