List: Offline 10/31 | Curated by Connor Shorten

Oct 31, 2022
45 stories
Offline 10/31
In
Data Science in your pocket
by
Mehul Gupta
Graph Analytics: Part 1Introduction to graph database and Neo4J
May 20, 2022
May 20, 2022
In
TDS Archive
by
Avi Chawla
It’s Time to Say GoodBye to pd.read_csv() and pd.to_csv()Discussing another major caveat of Pandas
May 26, 2022
63
May 26, 2022
63
Kuwar Kapur
Architectures in Recommender systems with HugeCTRShort Recap: In the previous article of our series we saw the importance of Embeddings in developing recommender systems. How different…
Aug 27, 2022
2
Aug 27, 2022
2
Tim Urista | Senior Cloud Engineer
Which is the best editor for Golang programming?Golang is a programming language that was created in 2007 by Robert Griesemer, Rob Pike, and Ken Thompson. It has been growing in…
Aug 25, 2022
1
Aug 25, 2022
1
In
tech-at-instacart
by
Zhenbang Chen
Calibrating CTR Prediction with Transfer Learning in Instacart Ads
Sep 15, 2022
1
Sep 15, 2022
1
Prakhar Mishra
Few-shot Named Entity Recognition in Natural Language ProcessingDecoding NLP Library — Concise Concepts
May 25, 2022
2
May 25, 2022
2
Renu Khandelwal
Node Classification using Graph Convolutional Neural NetworkNode Classification on Cora Dataset in PyTorch using GCN
Jun 29, 2022
Jun 29, 2022
Kyle Dufrane
Normalized Discounted Cumulative Gain — What it does and how it worksNormalized Discounted Cumulative Gain (NDCG) is a loss metric used when training ranking models. The idea is that when search results are…
Jul 8, 2022
Jul 8, 2022
Yang You
Embedding Training With 1% GPU Memory and 100 Times Less Budget, an Open Source Solution for…Deep recommendation models (DLRMs) have become critical for deep learning applications in IT companies. DLRMs can be used to improve user…
Oct 18, 2022
1
Oct 18, 2022
1
Cobus Greyling
Analysis Of The Deloitte Report On Conversational AI InnovationAnd Where Vectors Of Innovation Are Emerging
Jul 11, 2022
2
Jul 11, 2022
2
In
SyncedReview
by
Synced
Google’s Promptagator Creates Task-Specific Neural Retrievers From Only 8 ExamplesAutomated information retrieval has become a leading paradigm for information access in today’s world, employed every time someone enters a…
Sep 27, 2022
Sep 27, 2022
In
TDS Archive
by
Sejal Dua
Dynamic Topic Modeling with BERTopicDigesting the Digest: Reverse-engineering my Medium Interests with Topic Modeling (Part 3)
Oct 3, 2021
2
Oct 3, 2021
2
Shivanand Roy
KeyPhraseTransformer: Quickly Extract Keyphrases/Topics from Text Documents with T5 TransformerKeyPhraseTransformer is built on T5 transformer architecture and trained on 500K training samples to extract important phrases/topics from…
Jun 24, 2022
Jun 24, 2022
Netflix Technology Blog
RecSysOps: Best Practices for Operating a Large-Scale Recommender Systemby Ehsan Saberian and Justin Basilico
Sep 30, 2022
1
Sep 30, 2022
1
In
Pinterest Engineering Blog
by
Pinterest Engineering
Debugging Ad Delivery At PinterestNishant Roy | Engineering Manager, Ads Serving Platform
Jun 24, 2022
3
Jun 24, 2022
3
DataScienceUB
[2/3] Recommendation: Graph Convolutional Networks for Recommender Systemsby Paula Gómez Duran, PhD student at the University of Barcelona
Sep 7, 2022
1
Sep 7, 2022
1
In
Criteo Tech Blog
by
Criteo R&D
Highlights of RecSys 2022Check out our teams highlights of RecSys in Seattle this year!
Oct 18, 2022
Oct 18, 2022
In
spark-nlp
by
Juan Martinez
Financial Graph Generation with John Snow Labs Finance NLPIn Oct, 2022 John Snow Labs released Finance NLP, a new addition to the Spark NLP ecosystem to natively carry out NLP at scale in Spark…
Oct 27, 2022
Oct 27, 2022
In
TDS Archive
by
Pascal Janetzky
Why I Use Weights & Biases for My Machine Learning Ph.D. ResearchExperiment tracking, hyperparameter optimization, private hosting
Sep 26, 2022
Sep 26, 2022
In
ML6team
by
Thomas Dehaene
BERT is eating your cash: quantization and ONNXRuntime to save💰In 2020, we have trained and open-sourced the first Dutch GPT2 model, in various sizes. Of course we wanted to share this with the world by…
May 18, 2022
2
May 18, 2022
2