Dataconomy

MAY 24, 2017

Welcome to Part 2 of How to use Elasticsearch for Natural Language Processing and Text Mining. It’s been some time since Part 1, so you might want to brush up on the basics before getting started. This time we’ll focus on one very important type of query for Text Mining. The post How to use ElasticSearch for Natural Language Processing and Text Mining — Part 2 appeared first on Dataconomy.

Natural Language Processing 185

Natural Language Processing Data Science 185

Dataconomy

MAY 23, 2017

The R language is often perceived as a language for statisticians and data scientists. Quite a long time ago, this was mostly true. However, over the years the flexibility R provides via packages has made R into a more general purpose language. R was open sourced in 1995, and since. The post Boost Your Data Wrangling with R appeared first on Dataconomy.

Data Wrangling 164

Data Wrangling Data Scientist Data Science 164

Dataconomy

MAY 26, 2017

Data processing today is done in form of pipelines which include various steps like aggregation, sanitization, filtering and finally generating insights by applying various statistical models. Amazon Kinesis is a platform to build pipelines for streaming data at the scale of terabytes per hour. Parts of the Kinesis platform are. The post Amazon Kinesis vs.

Apache Kafka 155

Apache Kafka Data Analysis Data Analysis Big Data 155

Dataconomy

MAY 22, 2017

For people in the know, machine learning is old hat. Even so, it’s set to become the data buzzword of the year — for a rather mundane reason. When things get complex, people expect technology to ‘automagically’ solve the problem. Whether it’s automated financial product consultation or shopping in the supermarket of. The post Keep it real — say no to algorithm porn!

Algorithm 79

Algorithm Machine Learning Machine Learning Data Science 79

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