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… Read More »Identifying Traffic Signs with Deep Learning
Strategic application of data and analysis often involve driving decisions. According to Merriam-Webster, a ‘decision’ can be defined as a determination arrived at after consideration. … Read More »Hierarchy for Analytic Confidence
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… Read More »R Clustering – A Tutorial for Cluster Analysis with R
Originally posted on Data Science Central This infographic came from Medigo. It displays data from the World Health Organization’s “Projections of mortality and causes of death,… Read More »Mortality and causes of death in 2015 and 2030 – Infographics
This article was written by Michael Rundell. A Curated List of Data Science Interview Questions Preparing for an interview is not easy – naturally there… Read More »100+ Common Data Science Interview Questions
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… Read More »Can a Machine Learning algorithm predict the next fight with your girlfriend?
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 revisited the five contenders… Read More »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 revisited… Read More »Data Scientists Automated and Unemployed by 2025 – Update!
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… Read More »How Big Data Helps Fight Climate Change
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 Summarization, Conversational Modeling,… Read More »Seq2seq for NLP: encoder-decoder framework for Tensorflow
