Video: Building ML First Products with Gaurav Chakravorty of Discord

Video: Building ML First Products with Gaurav Chakravorty of Discord

In this video, Gaurav Chakravorty of Discord discusses building machine learning first products and the importance of product managers in that process....

Feature Engineering for Recommendation Systems – Part 2

Feature Engineering for Recommendation Systems – Part 2

In this post, we will look at a few more techniques and best practices for writing good counter/rate based features....

Feature Engineering for Recommendation Systems – Part 1

Feature Engineering for Recommendation Systems – Part 1

This is the first post in a series on feature engineering for recommendation systems. In this article, we’ll examine the most common ways of engineering features for recommendation systems....

Fireside Chat With Jaya Kawale (VP of ML, Tubi)

Fireside Chat With Jaya Kawale (VP of ML, Tubi)

Fennel AI's CEO Nikhil Garg (Ex-Facebook, Quora) recently sat down with Jaya Kawale (VP of ML, Tubi) to talk about all things machine learning....

Fireside Chat With Dr Xavier Amatriain (from Netflix, Quora, Curai)

Fireside Chat With Dr Xavier Amatriain (from Netflix, Quora, Curai)

As mentioned in this post, I recently sat down with Dr Xavier Amatriain (from Netflix, Quora, Curai) to talk about all things related to jumpstarting machine learning in organizations....

Seven Reasons Why Realtime ML Is Here To Stay

Seven Reasons Why Realtime ML Is Here To Stay

A very powerful trend is playing out right now — more and more top tech companies are making a larger part of their machine learning as realtime as possible....

Fireside Chat Series: Jumpstarting Machine Learning With Dr Xavier Amatriain

Fireside Chat Series: Jumpstarting Machine Learning With Dr Xavier Amatriain

We are starting a Fireside Chat series with ML Leaders from top tech companies....

Real World Recommendation Systems – Part 3 (Modeling)

Real World Recommendation Systems – Part 3 (Modeling)

This is the third and the last post in a series about the architecture of real-world recommendation systems developed at FAANG and other top tech companies. The first post covered the serving side, and the second post covered feature logging and training data generation....

Real World Recommendation Systems – Part 2 (Training Data Generation)

Real World Recommendation Systems – Part 2 (Training Data Generation)

This is the second post in a series about the architecture of real-world recommendation systems developed at FAANG and other top tech companies....

Two Types of Information Leakage In ML Systems

Two Types of Information Leakage In ML Systems

Top tech companies have been seeing so much business value being generated from ML that many of them went AI first years ago. But many smaller companies are still struggling to replicate similar gains in their own businesses....

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