• ai 3
• algorithms 4
• android 1
• bit-twiddling 1
• bunchoflinks 1
• cxense 3
• data science 1
• dmp 1
• engineering 4
• experimentation 1
• hyperloglog 1
• java 11
• jmh 1
• large-scale 1
• luck 1
• machine learning 6
• maven 1
• motivation 1
• numbers 2
• osx 1
• performance 2
• phd 1
• profiling 1
• programming 18
• puzzles 3
• python 4
• real-time 1
• research 2
• scikit-learn 3
• spark 2
• statistics 2
• talk 2
• talks 2
• today_i_learned 2
• todayilearned 1
• travel 1
• work 1

ai

• News recommendation with ML and NLP
• Running Open AI Gym on Windows 10
• Xgboost explained

algorithms

• Reverse a linked list
• K-th smallest element
• All subsets of an array
• Playing with code

android

• Get started with Flutter in 30 minutes

bit-twiddling

• All subsets of an array

bunchoflinks

• On designing and running online experiments

cxense

• On using Scikit-Learn in production
• Software Engineering at Cxense
• Large-Scale Real-Time Data Management for Engagement and Monetization

data science

• On designing and running online experiments

dmp

• Large-Scale Real-Time Data Management for Engagement and Monetization

engineering

• On using Scikit-Learn in production
• Software Engineering at Cxense
• The best of Javazone 2015
• The best of Javazone 2014

experimentation

• On designing and running online experiments

hyperloglog

• HyperLogLog - StreamLib vs Java-HLL

java

• A few thoughts about Spark
• HyperLogLog - StreamLib vs Java-HLL
• Getting started with JMH
• Running Apache Spark from a JAR
• The best of Javazone 2015
• The best of Javazone 2014
• Float represenation in Java
• Reverse a linked list
• ANSI-colored prompt in Java
• All subsets of an array
• Playing with code

jmh

• Getting started with JMH

large-scale

• Large-Scale Real-Time Data Management for Engagement and Monetization

luck

• On Probability and Luck

machine learning

• News recommendation with ML and NLP
• Running Open AI Gym on Windows 10
• Xgboost explained
• Understanding LogisticRegression prediction details in Scikit-Learn
• Having fun with Scikit-Learn
• A few thoughts about Spark

maven

• Running Apache Spark from a JAR

motivation

• On motivation

numbers

• On Probability and Luck
• Float represenation in Java

osx

• Get started with Flutter in 30 minutes

performance

• HyperLogLog - StreamLib vs Java-HLL
• Getting started with JMH

phd

• Ten things I wish I knew before starting on a PhD

profiling

• Getting started with JMH

programming

• News recommendation with ML and NLP
• Running Open AI Gym on Windows 10
• Get started with Flutter in 30 minutes
• Xgboost explained
• Understanding LogisticRegression prediction details in Scikit-Learn
• Having fun with Scikit-Learn
• A few thoughts about Spark
• HyperLogLog - StreamLib vs Java-HLL
• Getting started with JMH
• Running Apache Spark from a JAR
• The best of Javazone 2015
• On motivation
• The best of Javazone 2014
• Float represenation in Java
• Reverse a linked list
• ANSI-colored prompt in Java
• All subsets of an array
• Playing with code

puzzles

• Reverse a linked list
• K-th smallest element
• Playing with code

python

• Understanding LogisticRegression prediction details in Scikit-Learn
• On using Scikit-Learn in production
• Having fun with Scikit-Learn
• A few thoughts about Spark

real-time

• Large-Scale Real-Time Data Management for Engagement and Monetization

research

• Ten things I wish I knew before starting on a PhD
• CIKM 2015, an industrial view

scikit-learn

• Understanding LogisticRegression prediction details in Scikit-Learn
• On using Scikit-Learn in production
• Having fun with Scikit-Learn

spark

• A few thoughts about Spark
• Running Apache Spark from a JAR

statistics

• On designing and running online experiments
• On Probability and Luck

talk

• News recommendation with ML and NLP
• Xgboost explained

talks

• The best of Javazone 2015
• The best of Javazone 2014

today_i_learned

• Running Open AI Gym on Windows 10
• Get started with Flutter in 30 minutes

todayilearned

• On designing and running online experiments

travel

• CIKM 2015, an industrial view

work

• CIKM 2015, an industrial view