Wojciech Indyk

Data Scientist, specialised in Big Data Machine Learning.

[The Linux Foundation @linuxfoundation]

Continue the momentum of #WasmCon with an online #Wasm hackathon hosted by @GolemCloud + @zivergetech from Sept 29-Oct 1! Learn more + register for the Golem Cloud Hackathon: https://t.co/OhQP8MAmY3. Register NOW for WasmCon, starting TOMORROW, Sept 6! https://t.co/mNfH5j5eDt

[Wojciech Indyk @woj_i]

Who is going to #bigdatatech conference? I am presenting "#Flink on Trip". Looking forward to seeing everyone there!

[Flink Forward @FlinkForward]

We'll upload the videos & slides from #flinkforward Europe 2019 by the end of next week, so keep your eyes peeled! 👀

Our YouTube channel: https://t.co/hVrvxVgF3B
SlideShare: https://t.co/oDGl6X1W36

[Wojciech Indyk @woj_i]

#selfpublishing #tips https://t.co/LFqwnUu1dL

[Konica Minolta - Digital Services R&D @RDKonicaMinolta]

Are you a #DataScientist or a #DataAlchemyist? Read a nice summary about the last of the #PredictiveAnalytics conference @pawcon prepared by our colleague Jakub Valcik. https://t.co/OHBmmF2ZBV

[Wojciech Indyk @woj_i]

#Scala #Patterns To Avoid: #Implicit Arguments With #Default Values by @wlk_wojtek https://t.co/FUyJWtZ4ec

[Wojciech Indyk @woj_i]

how the curated input #data can change your #autoencoder for #anomalydetection? #deeplearning #DataScience https://t.co/o9zAxb10BP

[Shirin Elsinghorst @ShirinGlander]

Update to autoencoders and anomaly detection with machine learning in fraud analytics
https://t.co/Njm3JCF1ov
#rstats #machinelearning

[Wojciech Indyk @woj_i]

@ArnoCandel @gugatr0n1c @h2oai It was more about anomaly != error in our feature set. And the information from anomalies overlapped the information from another features.

[Wojciech Indyk @woj_i]

@gugatr0n1c @gugatr0n1c thx! We tried the @h2oai #deeplearning model with auto-encoding for anomaly detection- results not satisfied @KMLabsEU #MLPrague

[Wojciech Indyk @woj_i]

Czytam raport o współczesnych nomadach od @hatalskacom. O wyzwaniu, jakie stanowią dla marek i pracodawców. https://t.co/lBMOzO4iDA

[HBase @HBase]

Nice writeup on how off-heap read-path improved throughput for our brothers & sisters at Alibaba on Singles Day 2016 https://t.co/30x4ZXWbrr

[Wojciech Indyk @woj_i]

Brand new website of @KMLabsEU is live! Visit https://t.co/8zHCzGszgZ for more info about @KonicaMinoltaEU #research activities in Europe

[Roman Kierzkowski @r_kierzkowski]

https://t.co/pRA1C0EdXz: Curated collection of the 400 best data visualization tools https://t.co/WpHdaJ1xA9 via @producthunt

[Wojciech Indyk @woj_i]

@data_zen thank you! See you @MLPrague ?

[Mark Litwintschik @marklit82]

1.1 Billion Taxi Rides on AWS EMR 5.3.0 & Spark 2.1.0 https://t.co/z7azPHh0qu

[Konica Minolta - Digital Services R&D @RDKonicaMinolta]

Our website will go live in February 2017: check our #comingsoon page at https://t.co/ZAHcBiqAks and let's keep in touch.

[Łukasz Bolikowski @bolikowski]

Anonymized data from over 2bn @Uber trips https://t.co/JBRawKWINY Interesting data set, not only for city officials & policymakers.

[Wojciech Indyk @woj_i]

A new life of @PredictionIO ? :) #recommendationEngine #BigData #predictions #MachineLearning https://t.co/QDaMu2Levo

[Wojciech Indyk @woj_i]

#scylladb as #cache able to fast scan in practice https://t.co/dHngFp1Ioo #nosql #database #bigdata

[Wojciech Indyk @woj_i]

Some basic #theory on #HiddenMarkovModels explained step by step https://t.co/v6hQKWyQ2e #DataScience #MachineLearning #PatternRecognition