How to measure Digital Transformation maturity?
The digital revolution has created significant opportunities and threats for every industry. Companies that cannot or do not make significant changes faster to their busi...
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What are the Limits of Deep Learning?
This article was written by Mariya Yao. Mariya is the CTO and Head of Research & Design at TOPBOTS, a strategy and research firm in applied artificial intelligence a...
Things to watch out for when using deep learning
Deep learning has provided the world of data science with highly effective tools that can address problems in virtually any domain, and using nearly any kind of data. Ho...
Benefits and use cases for blockchain in banking
This article comes from Consultancy.uk Blockchain, while still relatively new to the financial space, is seeing interest from around 90% of banking sector executives, acc...
CPG Industry Levels Playing Field with Power of One
Special thanks to Brandon Kaier (@bkaier) for his research and thoughts on the Digital Twins concept. Unilever, one of the Consumer Package Goods (CPG) industry’s titan...
Information Retrieval Document Search Engine in R
Introduction: In this post, we learn about building a basic search engine or document retrieval system using Vector space model. This use case is widely used in informati...
18 Great Blogs Posted in the last 12 Months
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
Analyzing the relationship of Twitter users towards brands (e. g. Air Berlin)
Social media platforms such as Twitter and Facebook enable everyone to voice their opinions about topics, companies, and products online. These comments are a great sourc...
Book: Mastering Feature Engineering
Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill...
Building Convolutional Neural Networks with Tensorflow
In the past year I have also worked with Deep Learning techniques, and I would like to share with you how to make and train a Convolutional Neural Network from scratch, ...