Homepage
Open in app
Sign in
Get started
data from the trenches
the nitty gritty of data science by the experts @ dataiku
Machine Learning
Engineering
Product
Dataiku
Follow
Latest
7 Text Classification Techniques for Any Scenario
7 Text Classification Techniques for Any Scenario
Add LLMs to Your Text Classification Toolbox
Vivien Tran Thien
May 11
Evaluating Positivity Methods in Causal Inference
Evaluating Positivity Methods in Causal Inference
Without positivity, we cannot do causal inference, but we don’t know what the best method to determine positivity is.
Brady Neal
Apr 27
Tackling Algae Inundation With Machine Learning
Tackling Algae Inundation With Machine Learning
Because of climate change, algae inundation has increased dramatically in the Caribbean Sea in recent years. It has yielded negative…
Louis Fouquet
Apr 13
No Training Data? No Problem!
No Training Data? No Problem!
Locating Objects in Pictures With Little to No Training Examples
Vivien Tran Thien
Mar 30
Digging Through the Minutiae: Query Your Documents With GPT-3
Digging Through the Minutiae: Query Your Documents With GPT-3
With search engines and now AI assistants like ChatGPT, we have powerful tools to retrieve relevant information from the internet. However…
Vivien Tran Thien
Feb 9
Leveraging Joint Text-Image Models to Search and Classify Images
Leveraging Joint Text-Image Models to Search and Classify Images
Introduced by OpenAI in 2021, CLIP is one of the essential elements of the ongoing AI art revolution. But CLIP, a joint text-image model…
Vivien Tran Thien
Dec 23, 2022
Paying Attention to Text and Images for Visual Question Answering
Paying Attention to Text and Images for Visual Question Answering
Attention first originated in translation systems as a way to focus on parts of the input sentence, when generating words of the translated…
François Phe
Dec 15, 2022
OpenAL: Evaluation and Interpretation of Active Learning Strategies
OpenAL: Evaluation and Interpretation of Active Learning Strategies
We are pleased to present our work accepted at the NeurIPS 2022 Workshop on Human in the Loop Learning! For a complete overview of our…
Alexandre Abraham
Dec 5, 2022
Towards Efficient Labeling in Federated Learning
Towards Efficient Labeling in Federated Learning
Federated Learning (FL) can enable privacy-preserving distributed computation across several clients. It is used to federate knowledge…
Alexandre Abraham
Nov 10, 2022
Semantic Search: An Overlooked NLP Superpower
Semantic Search: An Overlooked NLP Superpower
Given a text corpus, semantic search consists of retrieving texts whose meaning matches a search query. For example, if your search query…
Vivien Tran Thien
Oct 27, 2022
Graph Neural Networks: Graph Classification (Part III)
Graph Neural Networks: Graph Classification (Part III)
When It Comes to Labeling Whole Graphs, Not Just Nodes
Lina Faik
Sep 1, 2022
Graph Neural Networks: Link Prediction (Part II)
Graph Neural Networks: Link Prediction (Part II)
When It Comes to Forecasting Connections Within a Network
Lina Faik
Jul 7, 2022
What to Expect From Uncertainty Quantification Methods
What to Expect From Uncertainty Quantification Methods
Where we argue uncertainty quantification methods should be benchmarked on tasks relevant to the ML practitioner.
Victor Bouvier
Jun 30, 2022
About data from the trenches
Latest Stories
Archive
About Medium
Terms
Privacy
Teams