Iman Keivanloo

Machine Learning for Similarity Search. Amazon Search Science & AI

[Iman Keivanloo @keivanloo]

Very proud to be in the top-20 most active young SE researchers in the world (top-quality journals) @JSSoftware
Source: https://t.co/PanV2FbhXj

[Veeva Careers @VeevaCareers]

#HackTheNorth you don’t want to miss @veevasystems tech talk on #MachineLearning and #DeepLearning by our very own @keivanloo

[Veeva Careers @VeevaCareers]

#Veeva team is excited to attend @HackTheNorth, come by our booth to grab your swag and meet our engineers #HackTheNorth

[François Chollet @fchollet]

"We note a group of 6 primary tools that together make the modern open source data science ecosystem: Python, Anaconda, scikit-learn, Tensorflow, Keras, and Apache Spark."
https://t.co/usWB9tVAS8

[Yann LeCun @ylecun]

Training with large minibatches is bad for your health.
More importantly, it's bad for your test error.
Friends dont let friends use minibatches larger than 32. https://t.co/hxx2rGhIG1

[Víctor Peinado @vitojph]

The first rule of #ML club is: you DO NOT touch your test data ;-) /v @haldaume3

[Iman Keivanloo @keivanloo]

In “Software 2.0” we just need thousands of unit tests (i.e., training data) and the rest is taken care of. https://t.co/1RE1H9pETs by @karpathy

[François Chollet @fchollet]

The ML research community has long been driven by the need to publish, which results in a stark, sometimes ridiculous bias towards complexity. Remember to ask: "can we do this with k-means and logistic regression?"

[TensorFlow @TensorFlow]

Ever wonder what "dropout regularization" really means? 🤔 This and ~200 other #ML definitions at your fingertips in this ML Glossary 📖

Check it out here ↓https://t.co/T9ZGpHsxx6

[ServiceNow AI Research @ServiceNowRSRCH]

"When researching, it is important to explore in many directions." #YoshuaBengio in @Forbes https://t.co/pJoFUhTuVP

[Mahsa @MahsaMahMah]

A great panel discussion on #DataScience. #TOMLsummit

[Iman Keivanloo @keivanloo]

#TOMLSummit keynote #element_ai . Data is secret but not the learned representations!

[Veeva Systems @veevasystems]

Veeva lands #1 spot on #FortuneFuture50 list, also named to Forbes and Fortune lists of fastest-growing companies https://t.co/ww9Hf0PzHd

[Databricks @databricks]

Introducing the Natural Language Processing Library for Apache Spark @JohnSnowLabs #ApacheSpark #MLLib #NLProc https://t.co/hebGC4PSgp

[Mahsa @MahsaMahMah]

Sanja Fidler's research Agenda. 😄#DeepLearning #reworkdl

[Vector Institute @VectorInst]

Great @VectorInst presence @reworkAI Montreal! Yesterday: Raquel Urtasun, Richard Zemel, Geoff Hinton. Today: Sanja Fidler & @DavidDuvenaud

[Mahsa @MahsaMahMah]

A great panel discussion with 3 pioneers of #DeepLearning, #Hinton #Bengio and #LeCun.
#DL3Amigos #reworkDL

[Mahsa @MahsaMahMah]

An exciting weekend at #HacktheNorth!gave a talk on #MachineLearning,met many talented students,and got to see Justin Trudeau speak. #Veeva

[Ali Mesbah @amesbah]

“If we knew what it was we were doing, it would not be called research, would it?”

[Veeva Systems @veevasystems]

Veeva CEO discusses industry collaboration and machine learning with @PharmExecutive https://t.co/5Nc1V76Ekf #digitalinsights