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Platform Scale: How an emerging business model helps startups build large empires with minimum...

Over the last decade or so, we're seeing the emergence of a new form of scale. Today's massively scaling startups - which rapidly grow to millions of users and billions in valuation - do not sell a product or...

Books that BA should not miss

The books mentioned in the titles are definitely those that Business Analyst (BA) should read to improve and widen the knowledge. 1. Guide to the Body of Knowledge Analysis Business (BABOK Guide) This is a document for Business Analyst "classic" by...

ClonAR: Rapid redesign of real-world objects

One of the greatest challenges for this is to provide realistic lighting of the virtual objects that match the real world lighting. This becomes even more difficult with the limited capabilities of mobile phone GPUs. The approach of this paper...

Discover the huge data repository for Business Analysts

Business Analyst is a fairly new profession in Vietnam. Perhaps that is why those who intend to learn about this profession, the Business Analysts (BA) who want to improve their qualifications have encountered many difficulties. Partly because of the...

Deep contextualized word representations

The papers introduce a new type of deep contextualized word representation that models both (1) complex characteristics of word use (e.g., syntax and semantics), and (2) how these uses vary across linguistic contexts (i.e., to model polysemy). Word vectors...

What is a scientific paper?

What is a scientific paper? In this article, we will cover three main aspects: classification of scientific articles, scientific journals, and peer-review mechanism. In scientific research, scientific paper or paper plays a very important role. It is not just a...

Applying Deep Learning to Airbnb search

The application to search ranking is one of the biggest machine learning success stories at Airbnb. Much of the initial gains were driven by a gradient boosted decision tree model. The gains, however, plateaued over time. This paper discusses...

Predicting & discovering linguistic structure with Neural Networks

In the field of natural language processing, recent research has shown that deep neural network models are quite brittle when confronting linguistically motivated attacks. In order to build NLP systems that can generalize and work well in practice, it...

Gated-Attention architectures for Task-Oriented Language Grounding

To perform tasks specified by natural language instructions, autonomous agents need to extract semantically meaningful representations of language and map it to visual elements and actions in the environment. This problem is called task-oriented language grounding. The paper proposes...

Knowledge Base Construction in the Machine-learning Era

Three critical design points: Joint-learning, weak supervision, and new representations. This installment of Research for Practice features a curated selection from Alex Ratner and Chris Ré, who provide an overview of recent developments in Knowledge Base Construction (KBC). While knowledge...

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