Personal Information
Entreprise/Lieu de travail
Kolkata Area, India, WB India
Profession
Principal Engineer at Lightbend
Secteur d’activité
Technology / Software / Internet
Site Web
debasishg.blogspot.com
À propos
Programmer, father, husband, avid reader, author, speaker at technology conferences & Seinfeld fanboy. Senior member of ACM and loves spending time with his beautiful family. Passionate about technology and open source, loves functional programming, and has been trying to learn math and machine learning. Authored 2 books - (a) DSLs In Action published by Manning in December 2010 and (b) Functional & Reactive Domain Modeling (upcoming fall 2015 from Manning). Tweets at @debasishg, blogs at Ruminations of a Programmer (http://debasishg.blogspot.com).
Debasish is an active contributor in quite a few open source projects. Some of the projects which he founded and contributed are...
Mots-clés
scala
functional
functional-programming
ddd
domain-modeling
domain specific languages
programming
design
domain-driven-design
zio
java
approximation-data-structures
streaming
big data
patterns
reactive
modeling
property-based-testing
testing
hadoop
nosql
bigdata
event-driven
akka
dsl
dependency injection
Tout plus
- Présentations
- Documents
- Infographies
Interactive Recommender Systems with Netflix and Spotify
Chris Johnson
•
il y a 8 ans
Scala Data Pipelines @ Spotify
Neville Li
•
il y a 8 ans
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain
•
il y a 9 ans
Spark Meetup @ Netflix, 05/19/2015
Yves Raimond
•
il y a 8 ans
Beyond Scala Lens
Julien Truffaut
•
il y a 9 ans
QCon São Paulo: Real-Time Analytics with Spark Streaming
Paco Nathan
•
il y a 9 ans
Monoids, Store, and Dependency Injection - Abstractions for Spark Streaming Jobs
Ryan Weald
•
il y a 10 ans
Algebird : Abstract Algebra for big data analytics. Devoxx 2014
Samir Bessalah
•
il y a 9 ans
Your data structures are made of maths!
kenbot
•
il y a 9 ans
What Deep Learning Means for Artificial Intelligence
Jonathan Mugan
•
il y a 9 ans
Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial
Alexandros Karatzoglou
•
il y a 10 ans
Algorithmic Music Recommendations at Spotify
Chris Johnson
•
il y a 10 ans
Music Recommendations at Scale with Spark
Chris Johnson
•
il y a 9 ans
Scala Data Pipelines for Music Recommendations
Chris Johnson
•
il y a 9 ans
Microservices, Containers, and Machine Learning
Paco Nathan
•
il y a 9 ans
A New Year in Data Science: ML Unpaused
Paco Nathan
•
il y a 9 ans
Kdd 2014 Tutorial - the recommender problem revisited
Xavier Amatriain
•
il y a 9 ans
Running Free with the Monads
kenbot
•
il y a 10 ans
Yann le cun
Yandex
•
il y a 10 ans
Tiny Batches, in the wine: Shiny New Bits in Spark Streaming
Paco Nathan
•
il y a 9 ans