- Doubling our ETA accuracy with machine learning in production🔍
- Benjamin André|Micolon on X🔍
- Maintaining Machine Learning Model Accuracy Through Monitoring🔍
- ML System Design — ETA Prediction🔍
- [R] Improving ETA Prediction Accuracy for Long|tail Events🔍
- Estimating Causal Effects with Double Machine Learning🔍
- Building Real|time Machine Learning Foundations at Lyft🔍
- From Predictive to Generative🔍
Doubling our ETA accuracy with machine learning in production
Doubling our ETA accuracy with machine learning in production
We have switched over to a machine learning model that has worked without major flaws and provided significantly better predictions for our customers.
Benjamin André-Micolon on X: "The first post in our series about ...
The first post in our series about #MachineLearning · transporeon-visibility-hub.medium.com. Doubling our ETA accuracy with machine learning in production.
Maintaining Machine Learning Model Accuracy Through Monitoring
Figure 1 : Because we log all predictions in production, we have the data required to analyze the inputs and outputs of our ML models. Whenever ...
ML System Design — ETA Prediction | by Abhijit Mondal - Medium
We can use some of the following set of features for our model: ... machine learning… Sep 8. Dynamic Pricing with Contextual Bandits ...
[R] Improving ETA Prediction Accuracy for Long-tail Events - Reddit
113 votes, 10 comments. If you are interested in improving the accuracy of long-tail events for your ML models, check out this blog article ...
Estimating Causal Effects with Double Machine Learning - arXiv
Our findings indicate that the application of a suitably flexible machine learning algorithm within DML improves the adjustment for various ...
Building Real-time Machine Learning Foundations at Lyft
... our production cluster. With this design, we achieved uniform ... Thank you to our partners and early adopters such as the ETA and ...
From Predictive to Generative - How Michelangelo Accelerates ...
In the past few years, the Machine learning (ML) adoption and impact at Uber have accelerated across all business lines.
Machine Learning Engineer - ETA & Routing - DoorDash
Build Deep Learning models for next-generation ETA that provide the most accurate, scalable and robust time predictions and enhance the consumer experience.
Double Machine Learning; Beyond Predictive Modeling - causaLens
Accurate predictions are a key part of creating effective data science solutions. However, data science work delivers the most value when it goes beyond ...
The state of AI in 2022—and a half decade in review | McKinsey
For example, they're more than twice as likely to have hired a machine learning (ML) engineer in the past year—a role focused on optimizing the ...
From shallow to deep learning in fraud | by Hao Yi Ong
... our production models were based on older ones. I recall posing a ... The ETA Conundrum: Speed vs Accuracy. Jun 20. 202. Fingerprinting ...
How Accurate ETA In Supply Chain Tracking Is a Competitive ...
Shippers who implement purpose-built machine learning algorithms to calculate ETA can save millions of dollars by avoiding OTIF and late rescheduling fees; ...
Machine learning techniques in additive manufacturing: a state of ...
A major challenge of ML integration with manufacturing processes is how to collect the appropriate data? It poses a major limitation as data's ...
Machine learning for perovskite materials design and discovery
Therefore, feature selection should reduce the dimension of input space as much as possible without losing important information. In particular, ...
Scaling data ingestion for machine learning training at Meta
Since most of our production workloads were selective in terms of features consumed by models compared with features stored in storage, feature ...
... our solution in production ... ETA prediction model that leverages advanced machine learning techniques to dramatically improve accuracy. ... Our ETA model learns ...
How machine learning helps predict an accurate ETA - Bettermile
Routes are categorized according to the average deviation of the ETA from the ATA. These numbers serve to predict how the next delivery route will perform.
Machine Learning Engineer - DoorDash | Otta
... our business and provide better service quality for our customers; Build Deep Learning models for next-generation ETA that provide the most accurate ...
DoorDash hiring Machine Learning Engineer - ETA & Routing in ...
As a Machine Learning Engineer, you will have the opportunity to leverage our ... accurate, scalable and ... production. Demonstrated expertise with ...