DagsHub

DECEMBER 11, 2023

DagsHub DagsHub is a centralized Github-based platform that allows Machine Learning and Data Science teams to build, manage and collaborate on their projects. In addition to versioning code, teams can also version data, models, experiments and more. It does not support the ‘dvc repro’ command to reproduce its data pipeline.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Big Data 98

ML Review

FEBRUARY 26, 2018

During 2017’s Double 11 shopping festival, AliMe successfully responded to 9.04 Since intentions determine the subsequent domain identification flow, the intention stratum is a necessary first step in initiating contextual and domain data model processes. ACL 2017 [3] Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Tableau

DECEMBER 1, 2021

April 2018), which focused on users who do understand joins and curating federated data sources. May 2020) shifted sheets to a multiple-table data model, where the sheet’s fields allow the computer to write much more efficient queries to the data sources. Relationships in Tableau 2020.2 (May Beginning in Tableau 2020.2,

Tableau 98

Tableau ML ML Database 98

The MLOps Blog

FEBRUARY 6, 2025

Bridging LLM capacity and scalability with MoE layers Since the introduction of Transformer-based models, LLM capabilities have continuously expanded through advancements in architecture, training methods, and hardware innovation. Scaling up LLMs has been shown to improve performance. With the Deep Learning boom, the MoE resurfaced.

Deep Learning 64

Deep Learning Deep Learning Data Modeling Data Models 64

Tableau

JANUARY 27, 2021

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

Tableau 52

Tableau Business Intelligence Business Intelligence Analytics 52

Flipboard

MARCH 23, 2023

All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. 2 However, you don’t need to know how Transformers work to use large language models effectively, any more than you need to know how a database works to use a database. What Is the Future?

AI 174

AI AI SQL Natural Language Processing 174

The MLOps Blog

DECEMBER 28, 2022

Organization Acquia Industry Software-as-a-service Team size Acquia built an ML team five years ago in 2017 and has a team size of 6. Team composition The team comprises data pipeline engineers, ML engineers, full-stack engineers, and data scientists.

ML 78

ML ML Data Scientist Machine Learning 78

IBM Journey to AI blog

SEPTEMBER 5, 2024

It’s not a quick fix, and poorly integrated governance programs can erode trust in the process, potentially leading to business decisions based on incorrect assumptions or breaches of sensitive data. Without an engaged data culture and strong data governance principles, inconsistent data can go unnoticed, causing serious damage.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Snorkel AI

MARCH 1, 2023

Unsupervised learning requires no labels and identifies underlying patterns in the data. Model architectures that qualify as “supervised learning”—from traditional regression models to random forests to most neural networks—require labeled data for training. What are some examples of Foundation Models?

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83