List: ML and DL in the industry | Curated by Akshaya Balaji

Dec 30, 2024

23 stories

ML and DL in the industry
In
Pipeline: Your Data Engineering Resource
by
Zach Quinn
1 Sheet To Get You Hired Or Promoted In 2025How data engineers can wield the power of the “brag sheet” to achieve career-altering results.
Dec 26, 2024
Dec 26, 2024
In
TDS Archive
by
Myriam Barnés
A Quantitative Approach to Product Market Fit (Python Code)Find meaning in your user data with Python
Apr 8, 2024
3
Apr 8, 2024
3
In
TDS Archive
by
Simon Grah
Automated Detection of Data Quality IssuesA method for autonomously identifying data errors and calculating the Data Dirtiness Score with minimal human intervention.
Mar 22, 2024
5
Mar 22, 2024
5
In
Lyft Engineering
by
Aneesh Agrawal
Python Upgrade PlaybookHow Lyft upgrades Python at scale—1500+ repos spanning 150+ teams…
Mar 6, 2024
Mar 6, 2024
In
Netflix TechBlog
by
Netflix Technology Blog
Sequential A/B Testing Keeps the World Streaming Netflix
Part 1: Continuous DataMichael Lindon, Chris Sanden, Vache Shirikian, Yanjun Liu, Minal Mishra, Martin Tingley
Feb 12, 2024
7
Feb 12, 2024
7
In
TDS Archive
by
Katherine Munro
Methods for Modelling Customer Lifetime Value: The Good Stuff and the GotchasPart three of a comprehensive, practical guide to CLV techniques and real-world use-cases
Nov 17, 2023
8
Nov 17, 2023
8
Gaurav Thalpati
Design Document for Data PlatformsA practical guide for creating an effective design document
Sep 9, 2022
2
Sep 9, 2022
2
In
TDS Archive
by
Eirik Berge, PhD
Beginner Tutorial: Connect GPT Models with Company Data in Microsoft AzureUsing OpenAI Studio, Cognitive Search and Storage Accounts
Oct 15, 2023
2
Oct 15, 2023
2
In
TDS Archive
by
Matthew Gazzano
You’ve Hit a Wall in Your Data Project, Now What?Consider these approaches to common development obstacles in data analytics
Oct 6, 2023
1
Oct 6, 2023
1
In
TDS Archive
by
Olga Chernytska
Building Better ML Systems — Chapter 4. Model Deployment and BeyondAbout deployment, monitoring, data distribution drifts, model updates, and tests in production.
Sep 28, 2023
5
Sep 28, 2023
5
In
TDS Archive
by
John Leung
Managing the Technical Debts of Machine Learning SystemsExplore the practices with implementation codes for sustainably mitigating the cost of speedy delivery
Sep 26, 2023
2
Sep 26, 2023
2
In
TDS Archive
by
Ana Bildea, PhD
Two Ways to Download and Access Llama 2 LocallyA step-by-step guide to using Llama 2 on your PC
Sep 5, 2023
4
Sep 5, 2023
4
 This story is no longer available
In
TDS Archive
by
Chad Isenberg
Layers of Data QualityWhere and how to address problems with your data
Jul 18, 2023
1
Jul 18, 2023
1
In
TDS Archive
by
Michael Galkin
Graph Machine Learning @ ICML 2023Recent advancements and hot trends, August 2023 edition
Aug 6, 2023
5
Aug 6, 2023
5
In
TDS Archive
by
Rik Jongerius
Real-Time Crowdedness Predictions for Train TravelersUsing serverless Azure technology to provide streaming predictions to our travel planner app
Jul 7, 2023
3
Jul 7, 2023
3
In
TDS Archive
by
Samuel Flender
Breaking Down YouTube’s Recommendation AlgorithmOpening the “bag of tricks” that makes a modern recommender system work
Apr 17, 2023
3
Apr 17, 2023
3
In
Pinterest Engineering Blog
by
Pinterest Engineering
Advertiser Recommendation Systems at PinterestErika Sun & Keshava Subramanya | Ads Intelligence Team
Jul 13, 2021
3
Jul 13, 2021
3
In
Razorpay Analytics
by
Gautam Chopra
Introducing Analytics at RazorpayWe are Razorpay
Apr 11, 2023
Apr 11, 2023
In
The Airbnb Tech Blog
by
Joy Jing
Prioritizing Home Attributes Based on Guest InterestHow Airbnb leverages ML to derive guest interest from unstructured text data and provide personalized recommendations to Hosts
Feb 16, 2023
5
Feb 16, 2023
5

ML and DL in the industry

1 Sheet To Get You Hired Or Promoted In 2025

How data engineers can wield the power of the “brag sheet” to achieve career-altering results.

A Quantitative Approach to Product Market Fit (Python Code)

Find meaning in your user data with Python

Automated Detection of Data Quality Issues

A method for autonomously identifying data errors and calculating the Data Dirtiness Score with minimal human intervention.

Python Upgrade Playbook

How Lyft upgrades Python at scale—1500+ repos spanning 150+ teams…

Sequential A/B Testing Keeps the World Streaming Netflix Part 1: Continuous Data

Michael Lindon, Chris Sanden, Vache Shirikian, Yanjun Liu, Minal Mishra, Martin Tingley

Methods for Modelling Customer Lifetime Value: The Good Stuff and the Gotchas

Part three of a comprehensive, practical guide to CLV techniques and real-world use-cases

Design Document for Data Platforms

A practical guide for creating an effective design document

Beginner Tutorial: Connect GPT Models with Company Data in Microsoft Azure

Using OpenAI Studio, Cognitive Search and Storage Accounts

You’ve Hit a Wall in Your Data Project, Now What?

Consider these approaches to common development obstacles in data analytics

Building Better ML Systems — Chapter 4. Model Deployment and Beyond

About deployment, monitoring, data distribution drifts, model updates, and tests in production.

Managing the Technical Debts of Machine Learning Systems

Explore the practices with implementation codes for sustainably mitigating the cost of speedy delivery

Two Ways to Download and Access Llama 2 Locally

A step-by-step guide to using Llama 2 on your PC

Layers of Data Quality

Where and how to address problems with your data

Graph Machine Learning @ ICML 2023

Recent advancements and hot trends, August 2023 edition

Real-Time Crowdedness Predictions for Train Travelers

Using serverless Azure technology to provide streaming predictions to our travel planner app

Breaking Down YouTube’s Recommendation Algorithm

Opening the “bag of tricks” that makes a modern recommender system work

Advertiser Recommendation Systems at Pinterest

Erika Sun & Keshava Subramanya | Ads Intelligence Team

Introducing Analytics at Razorpay

We are Razorpay

Prioritizing Home Attributes Based on Guest Interest

How Airbnb leverages ML to derive guest interest from unstructured text data and provide personalized recommendations to Hosts

Akshaya Balaji