In-memory Caching in Finance
Big data has been gradually creeping into a number of industries through the years, and it seems there are no exceptions…
How Data Science Is Helping to Detect Child Abuse
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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,…
New Era of Data Science in Today’s World
/1 Comment/in Data Science News, Insights /by Praveenkumar YadavIn today’s digital world, most organizations are flooded with data, both structured and unstructured. Data is a commodity now, and organizations should know how to monetize that data and derive a profit from the deluge. And valuing data is one of the best ways enterprises can become successful in distinguishing themselves in the marketplace. Data […]
Bias and Variance in Machine Learning
/1 Comment/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Main Category /by Pavan VadapalliMachine learning continues to be an ever more vital component of our lives and ecosystem, whether we’re applying the techniques to answer research or business problems or in some cases even predicting the future. Machine learning models need to give accurate predictions in order to create real value for a given industry or domain. While […]
Rethinking linear algebra: visualizing linear transformations and eigenvectors
/2 Comments/in Data Mining, Data Science, Machine Learning, Main Category, Mathematics /by Yasuto TamuraIn terms of calculation processes of Principal Component Analysis (PCA) or Linear Discriminant Analysis (LDA), which are the dimension reduction techniques I am going to explain in the following articles, diagonalization is what they are all about. Throughout this article, I would like you to have richer insight into diagonalization in order to prepare for […]
Zertifikatsstudium „Data Science and Big Data“
/0 Comments/in Certification / Training, Data Science News, Education / Certification /by RedaktionJetzt bewerben für das Zertifikatsstudium „Data Science and Big Data“ an der Technischen Universität Dortmund Im Februar startet das erfolgreiche berufsbegleitende Zertifikatsstudium „Data Science and Big Data“ an der Technischen Universität Dortmund zum fünften Mal. Renommierte Wissenschaftlerinnen und Wissenschaftlern vermitteln Ihnen die neuesten datenwissenschaftlichen Erkenntnisse und zeigen, wie dieses Wissen praxisnah im eigenen Big-Data Projekt […]
Online-Kurse zur Statistiksoftware R
/0 Comments/in Certification / Training, Data Science News, Education / Certification /by RedaktionR – ein unverzichtbares Werkzeug für Data Scientists. Lassen Sie sich auf den neusten Stand in der Open Source Statistiksoftware R aus der modernen Datenanalyse bringen. Zielgruppe unserer Fortbildungen sind nicht nur Statistikerinnen und Statistiker, sondern auch Anwenderinnen und Anwender jeder Fachrichtung aus Industrie und Forschungseinrichtungen, die mit R ihre Daten effektiv analysieren möchten. Sie […]
Die führende Fachkonferenz für Machine Learning
/0 Comments/in Data Science News, Recommendations /by eventsSeien Sie dabei, wenn sich am 16. bis 17. November 2020 Anwender, Entscheider und Experten von Predictive Analytics und Machine Learning virtual treffen, um sich über die neuesten Erkenntnisse und Fortschritte zu informieren. Vom Data Lab zu Data Ops Die Zeit des Experimentierens ist vorbei. Unternehmen erwarten, dass ihre Data Labs das liefern, was ihnen der KI-Hype […]
Connections Between Data Science & Finance
/0 Comments/in Carrier, Gerneral, Insights /by Luke SmithImage Source: pixabay.com The world of finance is changing at an unprecedented rate. Data science has completely altered the face of traditional finance management. Though data has long been a critical component to finances, the introduction of big data and artificial intelligence have created new tools that are strengthening the predictive ability of many financial […]
K Nearest Neighbour For Supervised Learning
/0 Comments/in Artificial Intelligence, Data Science, Machine Learning, Main Category, Mathematics /by Ram TavvaK-Nearest Neighbour (KNN) Algorithms is an easy-to-implement & advanced level supervised machine learning algorithm used for both – classification as well as regression problems. However, you can see a wide of its applications in classification problems across various industries. If you’ve been shopping a lot in e-commerce sites like Amazon, Flipkart, Myntra, or love watching […]
Spiky cubes, Pac-Man walking, empty M&M’s chocolate: curse of dimensionality
/3 Comments/in Artificial Intelligence, Data Mining, Data Science, Machine Learning, Main Category /by Yasuto TamuraThis is the first article of the article series Illustrative introductions on dimension reduction. “Curse of dimensionality” means the difficulties of machine learning which arise when the dimension of data is higher. In short if the data have too many features like “weight,” “height,” “width,” “strength,” “temperature”…., that can undermine the performances of machine learning. […]
Illustrative introductions on dimension reduction
/1 Comment/in Artificial Intelligence, Data Mining, Data Science, Machine Learning, Main Category, Mathematics /by Yasuto Tamura“What is your image on dimensions?” ….That might be a cheesy question to ask to reader of Data Science Blog, but most people, with no scientific background, would answer “One dimension is a line, and two dimension is a plain, and we live in three-dimensional world.” After that if you ask “How about the fourth […]