All of Mikio's Writing

2026-01-02 aicore: Shipping software from a train with a few words and a Raspberry Pi

2026-01-01 We're back!

2024-05-27 How long till AGI...?

2023-10-11 Archetypes for AI

2023-06-16 Discussing All Things AI on Vivek Juneja's Podcast "In your shoes"

2023-05-24 How To Get Started With AI As A Software Engineer?

2023-05-08 AI April: When a month feels like a decade

2023-03-20 Enough of the AI Hype already

2022-08-29 In Search for the Holy Grail of MLOps: Taming the Beast of ML Use Cases

2022-06-28 How To Organize Data Science Teams

2022-06-23 ML in Practice - Issue #10: Are AI's thinking yet?

2022-04-28 A Plea for the Technical Founder

2022-04-21 Machine Learning As The Ultimate Test Driven Development

2022-04-21 ML in Practice - Issue #9

2022-04-08 What is Data Science/Product Fit And Why You Need It

2022-03-31 How To Hire A Data Scientist

2022-03-23 How the data science toolset is getting in the way of doing 5-10 experiments per week

2022-02-08 Why Recipes for Machine Learning Solutions Don't Work

2021-11-24 Marginally Interesting - The Newsletter - Issue #8 - Whoa what happened

2021-06-18 Marginally Interesting - The Newsletter - Issue #7: What Particle Accelerators Teach Us About Data Culture

2021-06-07 Marginally Interesting - The Newsletter - Issue #6: What kind of ML tools do we really need?

2021-05-28 Marginally Interesting - The Newsletter - Issue #5

2021-05-17 Marginally Interesting - The Newsletter - Issue #4

2021-05-10 Marginally Interesting - The Newsletter - Issue #3

2021-04-30 Marginally Interesting - The Newsletter - Issue #2

2021-04-23 Marginally Interesting - Issue #1

2021-04-05 Everyone Is Still Terrible At Creating Software At Scale

2021-03-02 Don't Do Roles (Only) By Skillset

2020-10-07 Some Thoughts on the Principal Role

2020-05-25 When Big Data became Scalable Databases

2020-05-05 Wardley Maps and the Democratization of AI

2020-01-12 Key AI Trends for 2020

2019-07-23 My 2019 Recap of Machine Learning From Academia To Industry

2019-07-05 Me On A Stage

2019-02-16 Love Being A Lead: Valentine‘s Edition

2018-12-26 The Levels of Doing AI

2018-10-01 But is it AI?

2018-09-22 Love Being A Lead

2018-05-27 How I Make My Figures

2018-03-11 3 Quotes on Leadership

2017-12-26 Head Over To margint.blog

2017-12-25 That Post-Academia Thing I Needed to Write.

2017-09-11 Data Analysis: The Hard Parts

2017-09-06 Three Things About Data Science You Won't Find in the Books

2017-09-03 How Python Became the Language of Choice for Data Science

2017-08-23 AI’s Road to the Mainstream – 20 Years of Machine Learning

2017-08-20 Schlesisches Tor

2017-08-06 What is hardcore data science-in practice

2016-08-14 AI's Road to the Mainstream

2016-06-02 Hey Ho, Thanks for Sticking Around!

2015-03-23 Three Things About Data Science You Won't Find In the Books

2015-01-30 Pivoting

2014-12-01 Data Science workshop at data2day

2014-10-02 Parts But No Car

2014-08-22 Big Data & Machine Learning Convergence

2014-08-11 The Streaming Landscape, 2014 edition: Convergence, APIs, Data Access

2014-07-02 What is Scalable Machine Learning?

2014-06-10 The future of Big Data (according to Stratosphere/Flink)

2014-05-30 Realtime personalization and recommendation with stream mining

2014-05-20 Attending AWSSummit 2014 in Berlin

2014-04-16 Slides for Machine Learning on Streams

2014-04-09 Mikio's Guide To Real-Time Big Data

2014-02-17 Data Analysis: The Hard Parts

2014-01-28 What is going on with DeepMind and Google?

2014-01-17 Apache Spark: The Next Big Data Thing?

2013-12-20 Year's end thoughts: When products stop making sense

2013-12-10 Mark Zuckerberg NIPS - my brain melts.

2013-11-20 How Python became the language of choice for data science

2013-11-14 Hipster Scala features

2013-09-18 Designing ML frameworks

2013-09-09 Data Base vs. Data Science

2013-08-29 Streamdrill examples: e-commerce trending

2013-08-16 Curation and Collaboration in Science

2013-06-11 The Real-Time Big Data Landscape

2013-05-27 Germans in the Valley

2013-05-21 A Trip to Silicon Valley: First impressions

2013-04-05 Reclaim your data, own a piece of the cloud!

2013-03-20 Misconceptions about the CAP Theorem

2013-03-14 Lunch talk: Google Reader

2013-03-11 More Google Big Data papers: Megastore and Spanner

2013-03-01 Stream Processing has no Query Layer

2013-02-22 Big Data beyond MapReduce: Google's Big Data papers

2013-01-17 Yet another Big Data whitepaper

2013-01-15 What is streamdrill's trick?

2013-01-10 Streamdrill compared to other approaches for the Top-K-Problem

2013-01-08 What is streamdrill good for?

2012-12-18 jblas finally on central Maven repository

2012-12-17 Download the streamdrill demo

2012-12-10 Announcing Streamdrill

2012-11-08 Why you should listen to your supervisor

2012-11-06 Coffee Talk: Twitter Should Have Monetized Their API

2012-10-23 Pheed, Tent.io, and the Future of Social Networks

2012-09-26 Book Review: 'Debt: the first 5000 years' by David Graeber

2012-09-05 Levels of Abstractions in Big Data

2012-08-30 Why you don't want real-time analytics to be exact

2012-08-02 Book review: "Start with Why" by Simon Sinek and Apple's Patent Wars

2012-07-30 Twitter in 2011 revamped

2012-07-17 Academia vs. Industry: Explore or Build?

2012-07-04 The Perpetual Conference

2012-06-27 Is Machine Learning Losing Impact?

2012-06-20 Talk: Some Introductory Remarks on Bayesian Inference

2012-06-18 Big Data and Market Research

2012-06-12 News from the Buzzwordosphere: Fast Data and In-Memory Analytics

2012-06-05 Talk: Scalability Challenges in Big Data Science

2012-05-23 My thoughts on the NY Times article: Troves of Personal Data, Forbidden to Researchers

2012-05-02 Video for talk: 'TWIMPACT: Real-Time Twitter Analysis'

2012-04-27 Introducing Data Science Seminars

2012-04-19 Talk: On Real-Time Twitter Analysis

2012-03-20 What is Data Science?

2012-01-24 What it means to do a Ph.D. - psychologically

2011-12-20 Fast Cross Validation

2011-11-30 Scala discussion heating up?

2011-11-01 Analyzing Social Media Data

2011-10-10 One does not simply scale into real-time

2011-09-20 Peer Review and NoSQL

2011-08-26 Short Review: Visualize This by Nathan Yau

2011-08-15 Short Review of Edward R. Tufte's "The Visual Display of Quantitative Information"

2011-07-19 Cross-post: Hey, Google+ is not world peace

2011-06-26 Resist Holy Tech Wars

2011-04-28 Tuning ATLAS for jblas

2011-04-05 Getting Started in Scala

2011-03-15 Twitter Changes Its API Rules, Makes Sure Monetization Strategy Works Out

2011-01-19 From the Cluetrain Manifesto to Social Media

2011-01-10 jblas 1.2.0: A look behind the scenes

2011-01-04 Machine Learning: Beyond Prediction Accuracy

2010-12-15 Books in Pairs: Programming in Scala vs. Programming Scala

2010-08-24 Cassandra Garbage Collection Tuning

2010-08-16 jblas: 1.1 Released and Some Examples

2010-08-11 Some Tips On Using Cassandra

2010-08-03 A Rejected Paper Is Not The End

2010-07-15 What's happening over at Twimpact

2010-06-29 MLOSS workshop at ICML 2010

2010-06-15 Companion Objects as Classes in Scala

2010-06-01 A Bit of Background on "Bayes vs. Frequentists"

2010-04-29 It's that NIPS time of the year again

2010-04-19 Command Line Interactive Machine Learning on the JVM. Part 3: Missing Parts

2010-04-12 Command Line Interactive Machine Learning on the JVM. Part 2: JRuby and Scala

2010-04-08 Command Line Interactive Machine Learning on the JVM. Part 1: Why?

2010-03-25 Machine Learning and Composability

2010-03-12 What I have learned from Twimpact

2010-03-10 JRuby, JDBC, and DBI

2010-03-10 My Case for (J)Ruby for Machine Learning

2010-03-09 All Shiny and New

2010-01-13 The Open Source Process and Research

2009-12-22 jblas release 1.0

2009-11-19 Twitter's new retweet feature

2009-11-12 Some Benchmark Data Sets

2009-10-19 Machine Learning Feed Updates II

2009-10-14 Machine Learning Feeds (Update)

2009-10-13 Machine Learning Feeds and Twitterers

2009-10-07 What's Wrong With Ruby Module Functions

2009-09-23 LG X130 Mini-Review

2009-08-17 Twimpact Work In Progress

2009-08-03 Twimpact!

2009-07-08 Threads, Exceptions, Net::HTTP, Timeouts and JRuby

2009-04-30 Machine Learning Twibe

2009-04-06 Some Benchmark Numbers for jblas

2009-01-16 Science and the Market Metaphor

2008-12-22 On NIPS 2008

2008-12-06 On my way to NIPS 2008

2008-11-25 Java Integration in JRuby

2008-11-17 On Relevant Dimensions in Kernel Feature Spaces

2008-10-23 Matrices, JNI, DirectBuffers, and Number Crunching in Java

2008-10-20 What is Machine Learning? Revisited

2008-09-09 Why are people following me on twitter?

2008-09-08 NIPS outcome and MLOSS Workshop

2008-09-04 New Paper Out

2008-09-03 Google Chrome

2008-08-25 Benchmarking javac vs. ecj on Array Access

2008-08-21 My keychain Tool

2008-08-20 Nokia E61i

2008-08-06 Static MVC

2008-08-04 Quo vadis?

2008-08-04 JRuby 1.1.3 and Jython 2.5

2008-07-09 Data Mangling Basics

2008-07-05 Time Management for PostDocs

2008-06-06 Most Incredible Emacs Feature. Ever.

2008-05-30 NIPS, mloss.org and jruby-1.1.2

2008-04-12 JRuby 1.1 released

2008-03-22 Tool of the week (web edition): gotapi.com

2008-02-25 Tool of the Week (Ruby Edition): fastri

2008-02-24 Machine Learning and Data Sets

2007-11-12 Steve Yegge

2007-09-18 Why Ruby > Python

2007-09-11 SICP

2007-09-05 Palm cancels Foleo

2007-08-26 What is Machine Learning

2007-08-21 Hackers & Painters

2007-08-14 Visual Timeline

2007-06-29 Steve Levy's Hackers

2007-04-26 Tool of the Week - Part II: sshfs

2007-03-22 Gadget Wishlist

2007-02-12 Tool of the Week: baobab

2006-12-21 Miscellaneous Things - Part I

2006-11-17 Christmas Wish List - Part I

2006-11-14 Fast Matrix-matrix mulitplication: Kazushige Goto

2006-10-30 Ctrl → CapsLock

2006-10-29 Shell Tool of the week: rlwrap

2006-10-14 Hello world!

2005-08-09 Hello

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