Tableau

AUGUST 11, 2021

And there’s a lot of it: According to IDC , more than 64 zettabytes (yes, zettabytes) of data were generated in 2020, and global data creation and replication will grow by 23% through 2025. With this upcoming release you can get notifications for data-driven alerts, shared content, and comments you’re tagged in. Data-driven alerts.

Tableau 97

Tableau Analytics Analytics 97

Towards AI

AUGUST 17, 2023

Image Tag and Digest Replication: Replicating image tags and digests between ECR registries is critical for security, and traceability. Potential Solutions At the outset, two potential solutions were proposed: ECR Cross Account Replication: AWS’s ECR natively supports replicating images between two accounts.

AWS 93

AWS Clustering AI AI 93

phData

MAY 2, 2024

Tagging enables showback and chargeback and allows for custom performance analysis. Establish and Manage a Proper Information Architecture Implementing stringent management of roles and access can dramatically reduce overhead and costs for support teams.

Cloud Data 52

Cloud Data Data Governance 52

ODSC - Open Data Science

JUNE 13, 2023

Text data: video titles, descriptions, categories, tags filled in by content creators, and comments left by content consumers. It has become a platform where a large chunk of users replicate looks and dance videos that are trending to gain followers and interest. Text: post captions, comments, profile descriptions, and tags.

Data Science 52

Data Science Natural Language Processing Python Machine Learning 52

Snorkel AI

JUNE 12, 2023

classification, tagging, extraction). 2023, “ Alpaca: A Strong, Replicable Instruction-Following Model ”; Geng et al. Snorkel Flow: For programmatic labeling of predictive AI use cases (e.g., Footnotes (1) Brants et al. 2007, “Large Language Models in Machine Translation” (2) Gadre et al.

AI 145

AI AI Algorithm Azure 145

Snorkel AI

JUNE 12, 2023

classification, tagging, extraction). 2023, “ Alpaca: A Strong, Replicable Instruction-Following Model ”; Geng et al. Snorkel Flow: For programmatic labeling of predictive AI use cases (e.g., Footnotes (1) Brants et al. 2007, “Large Language Models in Machine Translation” (2) Gadre et al.

AI 141

AI AI Algorithm Azure 141

Smart Data Collective

JULY 11, 2022

Several factors go into SEO, including on-page optimization (such as keyword research and title tags) and off-page optimization (including link building and social media). You can also use data analytics tools to identify the pages your competitors have built links from, so you can replicate their strategy.

Analytics 133

Analytics Analytics Big Data Big Data 133

Mlearning.ai

FEBRUARY 26, 2024

Also remove noise data, this includes removing special characters, stop words (common words like “the” and “a”), and HTML tags. Adding Metadata Adding metadata, such as concept and level tags, to improve the quality of indexed data. Identify and correct errors: This includes spelling mistakes, typos, and grammatical errors.

Database 52

Database AI AI ML 52

phData

JANUARY 15, 2024

Additionally, SSO configurations can be replicated for consistency between source and target accounts. Data Protection and Privacy in Snowflake Snowflake simplifies identifying and protecting sensitive data in three steps: analyzing, reviewing, and applying system tags. It enhances data governance by introducing a tagging mechanism.

Data Governance 52

Data Governance Database Data Warehouse Cloud Computing 52

AWS Machine Learning Blog

MAY 16, 2024

We linked our SageMaker notebooks with GitLab for code management, and when we were done, we replicated them to Amazon S3 via Jenkins. xlarge","Name":"Master Instance Group"},{"InstanceCount":2,"InstanceGroupType":"CORE","InstanceType":"r5.xlarge","Name":"Core

AWS 86

AWS ML ML Deep Learning 86

Snorkel AI

MARCH 30, 2023

Sequence tagging experience upgrade. NER made easy with sequence tagging We’ve made significant performance improvements (up to 20x faster) for data-centric exploration and labeling when working with sequence tagging tasks. Programmatic labeling with support for complex tasks and data types. PDF extraction improvements.

ML 98

ML ML Supervised Learning Azure 98

The MLOps Blog

MARCH 20, 2023

In addition, the reproducibility of models and dataset help track issues and replicate successful experiments across an organization. Having a Data Version Control (DVC) system in place can help to maintain these factors, which include: Software factors , such as the accuracy and consistency of the data and models used in the project.

ML 59

ML ML Machine Learning Machine Learning 59

Dataconomy

JULY 31, 2023

However, there will undoubtedly be attempts to bypass these tags in hopes of fooling people with AI-created visuals. AI tools can replicate aspects of this connection, but often lack the depth, making them seem a bit dull. While this may seem contradictory, the essence of artworks lies in their connection to human experiences.

AI 91

AI AI Artificial Intelligence Artificial Intelligence 91

Flipboard

OCTOBER 9, 2023

Additionally, the -t (or --tag ) flag is used to give a nametag to your image. It can be replicated as much as we would like! Using the -t flag allows you to tag your build with a name that can be used to reference it later. This will use the Dockerfile and generate an image. So that’s it! Example: docker build. -t

Machine Learning 116

Machine Learning Machine Learning Deep Learning Deep Learning 116

Machine Learning World

MARCH 13, 2019

In out first case we use python image with tag 3.7.2-alpine3.9. This will not work if we have replication with more then one container for service. Dockerfile for App: [link] Dockerfile for Nginx [link] Now let’s try to understand what happening here. RUN  — running a command. WORKDIR  — change base directory of image.

AWS 52

AWS Python Azure Machine Learning 52

ODSC - Open Data Science

FEBRUARY 14, 2023

The database would need to be highly available and resilient, with features like automatic failover and data replication to ensure that the system remains up and running even in the face of hardware or software failures. Lastly, OpenAI has plans to embed cryptographic tags into ChatGPT’s output in order to watermark the generated text.

Database 124

Database AI AI Natural Language Processing 124

Snorkel AI

MAY 25, 2023

Databricks CEO Ali Ghodsi told Bloomberg that the open-sourced LLM replicated a lot of the functionality of “these existing other models,” a not-so-subtle wink to GPT-3. Then you could use the fine-tuned model to predict the tags for new texts. In April, DataBricks released Dolly 2.0.

Natural Language Processing 52

Natural Language Processing Python Machine Learning Machine Learning 52

Snorkel AI

MAY 25, 2023

Databricks CEO Ali Ghodsi told Bloomberg that the open-sourced LLM replicated a lot of the functionality of “these existing other models,” a not-so-subtle wink to GPT-3. Then you could use the fine-tuned model to predict the tags for new texts. In April, DataBricks released Dolly 2.0.

Natural Language Processing 52

Natural Language Processing Python Machine Learning Machine Learning 52

Explosion

NOVEMBER 21, 2019

Part-of-speech tags are particularly helpful: many words have very different senses depending on their part of speech, so it’s useful to be able to query for the synonyms of duck|VERB and duck|NOUN separately. Try the new interactive demo to explore similarities and compare them between 2015 and 2019 sense2vec (Trask et.

Natural Language Processing 52

Natural Language Processing Data Scientist Machine Learning Machine Learning 52

Heartbeat

JANUARY 25, 2023

For example “I love being ignored” seems to be a positive text but the rule-based approach may tag it as a negative sentiment which is why ML-based sentiment analysis is more popular across the industry. But this rule-based approach can not handle things like Irony and sarcasm, multiple types of negations, word ambiguity, and multipolarity.

Python 52

Python Deep Learning Deep Learning ML 52

Mlearning.ai

MARCH 2, 2023

question-answering or sequence tagging) the token representations are forwarded to the output layer, and for · classification tasks (e.g., For example, the authors describe that fine-tuning for each task presented in the paper can be replicated in an hour or less on a single cloud TPU (equivalent to a couple of hours on a GPU).

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

The MLOps Blog

AUGUST 3, 2023

And so then, when we ran model production, we tried to closely replicate those dependencies as much as possible to ensure that, at least from a software engineering standpoint, everything should run as expected. We had a whole system where each envelope, you would specify tags. And so then it was just one field in the row.

ML 52

ML ML Data Scientist Machine Learning 52

Towards AI

AUGUST 11, 2023

The Tabular Playground Series contests were based on synthetic datasets that replicated the structure of public data or data from previous Kaggle competitions. Note: We will be using Meta Kaggle dataset for our analysis and code examples. The dataset is under Apache 2.0, and it is updated daily.

Machine Learning 88

Machine Learning Machine Learning AI AI 88

Alation

FEBRUARY 1, 2022

And with data collection and replication growing so quickly, governance is more important than ever. Data governance introduces tagging and labeling to address this challenge. Tags and labels clarify where a certain type of data, (say, address, for example) is grouped under the same name.

Data Lakes 52

Data Lakes Data Governance ML ML 52

AWS Machine Learning Blog

NOVEMBER 1, 2023

f Dockerfile -t ${container_name} docker tag ${container_name} ${full_name} docker push ${full_name} LLM inference with TGI The VLP solution in this post employs the LLM in tandem with LangChain, harnessing the chain-of-thought (CoT) approach for more accurate intent classification. List all actionable sub-tasks step by step in detail.

AWS 92

AWS Clustering Deep Learning Deep Learning 92

The MLOps Blog

MARCH 21, 2023

Depending on the organization, they are either pure software engineers or simply tagged “DevOps engineers” (or IT engineers). Orchestrators are concerned with lower-level abstractions like machines, instances, clusters, service-level grouping, replication, and so on. My Story DevOps Engineers Who they are?

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69