Four Ways to Improve Back-end Performance for Multidimensional Analysis
By JIANG Buxing, Data Scientist Multidimensional analysis, commonly called OLAP, is an interactively data analysis process that performs operations, including rotati...
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Identifying Traffic Signs with Deep Learning
This article was written by Harshit Sharma. Successful detection and classification of traffic signs is one of the important problem to be solved if we want self driving ...
Hierarchy for Analytic Confidence
Strategic application of data and analysis often involve driving decisions. According to Merriam-Webster, a ‘decision’ can be defined as a determination arrived at ...
R Clustering – A Tutorial for Cluster Analysis with R
1.Objective First of all we will see what is R Clustering, then we will see the Applications of Clustering, Clustering by Similarity Aggregation, use of R amap Package, ...
Can a Machine Learning algorithm predict the next fight with your girlfriend?
Imagine yourself the following situation: You are sitting in a lecture hall, listening to a lecture on mechanics, bored to death, fantasizing the moment you kiss your g...
Data Scientists Automated and Unemployed by 2025 – Update!
Summary: A year ago we wrote about the emergence of fully automated predictive analytic platforms including some with true One-Click Data-In Model-Out capability. We ...
How Big Data Helps Fight Climate Change
This article was written by Hannah Augur. Global warming. For a topic as massive, important, and (somehow) controversial, big data is a clear option for sorting through t...
Seq2seq for NLP: encoder-decoder framework for Tensorflow
This document comes from Github. Introduction tf-seq2seq is a general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summ...
What is the Benefit of Modern Data Warehousing?
Access to relevant customer and industry information is the primary competitive advantage businesses have over their direct and indirect competitors today. It’s the sma...
Data Management Made Easy
Creating a data management strategy doesn’t have to be difficult. By understanding how your data flows through your business and teaming it with an intelligent manageme...