How Microsoft Azure Is Impacting Financial Companies
Microsoft Azure has taken a large chunk of the cloud marketplace, transforming companies with the speed and security of the…
Zusatz-Studium „Data Science and Big Data“ an der TU Dortmund
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Rethinking linear algebra part two: ellipsoids in data science
*This is the fourth article of my article series "Illustrative introductions on dimension reduction."
1 Our expedition of…
Moderne Business Intelligence in der Microsoft Azure Cloud
Google, Amazon und Microsoft sind die drei großen Player im Bereich Cloud Computing. Die Cloud kommt für nahezu alle möglichen…
How to make a toy English-German translator with multi-head attention heat maps: the overall architecture of Transformer
If you have been patient enough to read the former articles of this article series Instructions on Transformer for people…
Leveraging Data Science for Vaccine Access and Administration
As people across the world become eligible for receiving their doses, governments and pharmaceutical companies must act efficiently…
The Role Data Plays in Customer Relationship Management
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The longevity of your business is dependent on your customer relationships. The depth of your customer…
Positional encoding, residual connections, padding masks: covering the rest of Transformer components
This is the fourth article of my article series named “Instructions on Transformer for people outside NLP field, but with…
5 AI Tricks to Grow Your Online Sales
The way people shop is currently changing. This only means that online stores need optimization to stay competitive and answer…
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
/1 Comment/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
/2 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 […]
CRISP-DM methodology in technical view
/0 Comments/in Business Analytics, Data Mining, Data Science, Machine Learning, Main Category, Projectmanagement /by Ahamed Al FarabiOn 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 […]