@FennelAI
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Fully-managed, realtime feature engineering platform that combines the simplicity of Python with the performance of Rust.
Menlo Park
Joined November 2021
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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
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
Join @nikhilgarg28 at the @aicampai meetup on 12/13 for an exciting talk on realtime #MachineLearning
RSVP at aicamp.ai/event/eventdetails…
Next ML meetup in SF/Bay will feature topics on real-time ML. @nikhilgarg28 from @FennelAI ,@Igor__Markov from @MetaAI will dive deep into real-time ML, architecture & e2e ML platform, with 🍕🍺🎁 @nickparsons
⏰ Dec 13, In-person | Virtual
📌 aicamp.ai
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
Fennel (Acquired by Databricks) retweeted
Once ANY marketplace hits enough scale to meet product market fit, THE most powerful growth lever almost always is improving "matching" via ranking/recsys.
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
Fennel (Acquired by Databricks) retweeted
Behind every great data scientist...
... there is a greater data engineer.
Wondering why so many companies are leaning into realtime #ML? This post by @nikhilgarg28 was written just for you👇
bit.ly/3AHkMNb
Everything you need to know (and watch out for) when making the transition from batch 🐢 to realtime #ML 🚀
bit.ly/3XrR8p1
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
Learn about best practices for writing counter and rate-based features in this post by @nikhilgarg28 of @FennelAI 👇
fennel.ai/blog/feature-engin…
#MachineLearning #FeatureEngineering #RecSys
Fennel (Acquired by Databricks) retweeted
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
Fennel (Acquired by Databricks) retweeted
My Real-Time Infra Landscape⚡:
#ML: @ClaypotAI
#Data Processing: @ApacheFlink
Pipelines: @confluentinc @redpandadata
Query Engines: @ClickHouseDB @MaterializeInc
Who else should we include?
