Tags

python r elasticsearch fulltext-search hive inverted-index kafka knitr ltr message-brokers r-markdown reproducible-research scoring sql amqp analytics api array athena avro bert bias boolean-mask complex curl data-preparation deep-learning document-frequency documentation dsl elastic extension forward-indexing jupyter kableextra machine-learning macos magic-commands map markdown mysql nlp one-hot-encoding pandas plot postgresql presto rabbitmq reporting rest seaborn search struct tables term-frequency word-embeddings word2vec working-directory yaml

python (3)

Mastering Data Preparation with Pandas: Subsetting, Filtering and Joining DataFrames - 18 August 2019
Plotting with Seaborn - 10 September 2019
Jupyter Notebooks: Boost your productivity with Extensions and Magic Commands - 12 July 2020

r (3)

R Markdown for Novices: All you need to know to get started - 3 November 2018
Formatting tables in R Markdown with kableExtra - 5 November 2018
Automatically changing the R working directory on Mac OS to source file location - 7 December 2018

elasticsearch (2)

How the Inverted Index and Scoring Work in ElasticSearch - 24 June 2020
Mastering ElasticSearch Queries If You Have Only Worked With SQL Before - 27 June 2020

fulltext-search (2)

How the Inverted Index and Scoring Work in ElasticSearch - 24 June 2020
Mastering ElasticSearch Queries If You Have Only Worked With SQL Before - 27 June 2020

hive (2)

Working with Complex Datatypes in Hive - 7 June 2020
Mastering Differences and Pitfalls when Switching SQL Databases: PostgreSQL vs. MySQL vs. SQLITE vs. Hive vs. Presto (AWS Athena) - 9 December 2022

inverted-index (2)

How the Inverted Index and Scoring Work in ElasticSearch - 24 June 2020
Mastering ElasticSearch Queries If You Have Only Worked With SQL Before - 27 June 2020

kafka (2)

A Gentle Intro to the Basic Architecture of Message Brokers: RabbitMQ vs. Kafka - 26 January 2021
Avro and avro schemas - how they work and why they are useful - 23 February 2021

knitr (2)

R Markdown for Novices: All you need to know to get started - 3 November 2018
Formatting tables in R Markdown with kableExtra - 5 November 2018

ltr (2)

Pointwise, Pairswise and Listwise Learning to Rank Models - Three Approaches to Optimize Relative Ordering - 15 October 2020
Biases in learning to rank models and three approaches to deal with them - 29 April 2021

message-brokers (2)

A Gentle Intro to the Basic Architecture of Message Brokers: RabbitMQ vs. Kafka - 26 January 2021
Avro and avro schemas - how they work and why they are useful - 23 February 2021

r-markdown (2)

R Markdown for Novices: All you need to know to get started - 3 November 2018
Formatting tables in R Markdown with kableExtra - 5 November 2018

reproducible-research (2)

R Markdown for Novices: All you need to know to get started - 3 November 2018
Automatically changing the R working directory on Mac OS to source file location - 7 December 2018

scoring (2)

How the Inverted Index and Scoring Work in ElasticSearch - 24 June 2020
Mastering ElasticSearch Queries If You Have Only Worked With SQL Before - 27 June 2020

sql (2)

Working with Complex Datatypes in Hive - 7 June 2020
Mastering Differences and Pitfalls when Switching SQL Databases: PostgreSQL vs. MySQL vs. SQLITE vs. Hive vs. Presto (AWS Athena) - 9 December 2022

amqp (1)

A Gentle Intro to the Basic Architecture of Message Brokers: RabbitMQ vs. Kafka - 26 January 2021

analytics (1)

Formatting tables in R Markdown with kableExtra - 5 November 2018

api (1)

Intro into APIs and how to access public REST APIs with `curl` - 26 November 2020

array (1)

Working with Complex Datatypes in Hive - 7 June 2020

athena (1)

Mastering Differences and Pitfalls when Switching SQL Databases: PostgreSQL vs. MySQL vs. SQLITE vs. Hive vs. Presto (AWS Athena) - 9 December 2022

avro (1)

Avro and avro schemas - how they work and why they are useful - 23 February 2021

bert (1)

The Intuition of Word Embeddings: How you Teach A Computer to Understand Text - 31 August 2020

bias (1)

Biases in learning to rank models and three approaches to deal with them - 29 April 2021

boolean-mask (1)

Mastering Data Preparation with Pandas: Subsetting, Filtering and Joining DataFrames - 18 August 2019

complex (1)

Working with Complex Datatypes in Hive - 7 June 2020

curl (1)

Intro into APIs and how to access public REST APIs with `curl` - 26 November 2020

data-preparation (1)

Mastering Data Preparation with Pandas: Subsetting, Filtering and Joining DataFrames - 18 August 2019

deep-learning (1)

AI-Machine-Learning-Buzzword-Bingo - 10 September 2020

document-frequency (1)

How the Inverted Index and Scoring Work in ElasticSearch - 24 June 2020

documentation (1)

R Markdown for Novices: All you need to know to get started - 3 November 2018

dsl (1)

Mastering ElasticSearch Queries If You Have Only Worked With SQL Before - 27 June 2020

elastic (1)

How the Inverted Index and Scoring Work in ElasticSearch - 24 June 2020

extension (1)

Jupyter Notebooks: Boost your productivity with Extensions and Magic Commands - 12 July 2020

forward-indexing (1)

How the Inverted Index and Scoring Work in ElasticSearch - 24 June 2020

jupyter (1)

Jupyter Notebooks: Boost your productivity with Extensions and Magic Commands - 12 July 2020

kableextra (1)

Formatting tables in R Markdown with kableExtra - 5 November 2018

machine-learning (1)

AI-Machine-Learning-Buzzword-Bingo - 10 September 2020

macos (1)

Automatically changing the R working directory on Mac OS to source file location - 7 December 2018

magic-commands (1)

Jupyter Notebooks: Boost your productivity with Extensions and Magic Commands - 12 July 2020

map (1)

Working with Complex Datatypes in Hive - 7 June 2020

markdown (1)

R Markdown for Novices: All you need to know to get started - 3 November 2018

mysql (1)

Mastering Differences and Pitfalls when Switching SQL Databases: PostgreSQL vs. MySQL vs. SQLITE vs. Hive vs. Presto (AWS Athena) - 9 December 2022

nlp (1)

AI-Machine-Learning-Buzzword-Bingo - 10 September 2020

one-hot-encoding (1)

The Intuition of Word Embeddings: How you Teach A Computer to Understand Text - 31 August 2020

pandas (1)

Mastering Data Preparation with Pandas: Subsetting, Filtering and Joining DataFrames - 18 August 2019

plot (1)

Plotting with Seaborn - 10 September 2019

postgresql (1)

Mastering Differences and Pitfalls when Switching SQL Databases: PostgreSQL vs. MySQL vs. SQLITE vs. Hive vs. Presto (AWS Athena) - 9 December 2022

presto (1)

Mastering Differences and Pitfalls when Switching SQL Databases: PostgreSQL vs. MySQL vs. SQLITE vs. Hive vs. Presto (AWS Athena) - 9 December 2022

rabbitmq (1)

A Gentle Intro to the Basic Architecture of Message Brokers: RabbitMQ vs. Kafka - 26 January 2021

reporting (1)

Formatting tables in R Markdown with kableExtra - 5 November 2018

rest (1)

Intro into APIs and how to access public REST APIs with `curl` - 26 November 2020

seaborn (1)

Plotting with Seaborn - 10 September 2019

search (1)

Pointwise, Pairswise and Listwise Learning to Rank Models - Three Approaches to Optimize Relative Ordering - 15 October 2020

struct (1)

Working with Complex Datatypes in Hive - 7 June 2020

tables (1)

Formatting tables in R Markdown with kableExtra - 5 November 2018

term-frequency (1)

How the Inverted Index and Scoring Work in ElasticSearch - 24 June 2020

word-embeddings (1)

The Intuition of Word Embeddings: How you Teach A Computer to Understand Text - 31 August 2020

word2vec (1)

The Intuition of Word Embeddings: How you Teach A Computer to Understand Text - 31 August 2020

working-directory (1)

Automatically changing the R working directory on Mac OS to source file location - 7 December 2018

yaml (1)

R Markdown for Novices: All you need to know to get started - 3 November 2018

Author's picture

Heike Maria (PhD)

Data Science @MOIA working on the future of mobility, previously Data Science at @Xing on recommender systems and search

Germany