Fennel (Acquired by Databricks) @FennelAI

Fully-managed, realtime feature engineering platform that combines the simplicity of Python with the performance of Rust. fennel.ai Menlo Park Joined November 2021

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Fennel (Acquired by Databricks) @FennelAI

3 years ago

Personalized search is the way of the future; this post will cover the most popular #MachineLearning features and techniques to get the job done👇 bit.ly/3WcTtTB

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Fennel (Acquired by Databricks) @FennelAI

3 years ago

Wondering what goes into #FeatureEngineering for Fraud Detection? Learn all about it in our latest post by @nickparsons on the @FennelAI blog 🔗👇 bit.ly/3uU4RHX

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Fennel (Acquired by Databricks) @FennelAI

3 years ago

Join @nikhilgarg28 at the @aicampai meetup on 12/13 for an exciting talk on realtime #MachineLearning RSVP at aicamp.ai/event/eventdet…

AICamp @aicampai

3 years ago

Join @nikhilgarg28 at the @aicampai meetup on 12/13 for an exciting talk on realtime #MachineLearning RSVP at aicamp.ai/event/eventdet…

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Fennel (Acquired by Databricks) @FennelAI

3 years ago

Learn the 5 serving stages of #RecSys 👇 🔍 Retrieval of relevant items ⏳ Filtering to narrow down options 🏗️ Feature extraction to capture key characteristics ⚽️ Scoring to evaluate relevance & quality 🥇 Ranking to present top choices to users bit.ly/3UxNLtL

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Nikhil Garg @nikhilgarg28

3 years ago

Once ANY marketplace hits enough scale to meet product market fit, THE most powerful growth lever almost always is improving "matching" via ranking/recsys.

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Fennel (Acquired by Databricks) @FennelAI

3 years ago

It turns out realtime #ML models cheat on tests, too 👀 Learn about the two most common types of information leakage and how to eliminate them 👇 bit.ly/3Vwpg14

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Pau Labarta Bajo @paulabartabajo_

3 years ago

Behind every great data scientist... ... there is a greater data engineer.

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Fennel (Acquired by Databricks) @FennelAI

3 years ago

Wondering why so many companies are leaning into realtime #ML? This post by @nikhilgarg28 was written just for you👇 bit.ly/3AHkMNb

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Pau Labarta Bajo @paulabartabajo_

3 years ago

Feature Store-less ML is still a thing...

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Fennel (Acquired by Databricks) @FennelAI

3 years ago

Everything you need to know (and watch out for) when making the transition from batch 🐢 to realtime #ML 🚀 bit.ly/3XrR8p1

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Matt Harrison @mharrison

3 years ago

When do you use lambdas in Python? 🤔

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Fennel (Acquired by Databricks) @FennelAI

3 years ago

Introducing our second post on #FeatureEngineering for #RecSys. Click the 🔗 below to learn about: 🕹️ Max/min pool-related options 🧮 Wilson intervals to normalize rate features 🪟 Rolling time windows 🔌 Making counter/rate features realtime bit.ly/3TEeN2d

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Fennel (Acquired by Databricks) @FennelAI

3 years ago

Learn about best practices for writing counter and rate-based features in this post by @nikhilgarg28 of @FennelAI 👇 fennel.ai/blog/feature-e… #MachineLearning #FeatureEngineering #RecSys

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Xavier(Xavi) Amatriain @xamat

3 years ago

A lot has been speculated about TikTok's recommendations. This is the first paper I've read by the team, and it has many interesting details: expirable embeddings, parameter server, online training... Good #recsys stuff arxiv.org/abs/2209.07663