Cambridge Intelligence

APRIL 4, 2023

Neo4j Browser is great for developers who want to explore their data model The data visualization toolkits Our graph visualization toolkits are KeyLines and ReGraph – the only difference is that KeyLines is for JavaScript developers and ReGraph is designed for React apps.

Data Visualization 59

Data Visualization Database Database Administration Data Modeling 59

DataRobot

JUNE 23, 2021

DataRobot offers a few capabilities that help to make the decision: Leaderboard helps to track modeling iterations and compare accuracy. It ensures that the models are compared on exactly the same validation or holdout data. Model comparison provides a visual way to compare models, using Profit Curve, ROC, and Lift Charts.

ML 52

ML ML Data Scientist Machine Learning 52

Heartbeat

SEPTEMBER 7, 2023

This is essential for understanding which changes led to improved (or degraded) model performance. experiment experiment = comet_ml.Experiment(project_name="feature-importance-demo") #loading saved xgboost model model = xgb.Booster() model.load_model("model.h5") #initializing x_test and y_test y_test = pd.read_csv(" /.")

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Iguazio

FEBRUARY 20, 2024

Building MLOpsPedia This demo on Github shows how to fine tune an LLM domain expert and build an ML application Read More Building Gen AI for Production The ability to successfully scale and drive adoption of a generative AI application requires a comprehensive enterprise approach.

AI 52

AI AI Data Pipeline Data Quality 52

Cambridge Intelligence

NOVEMBER 8, 2023

Each node in my data model represents an earthquake, and each is colored and sized according to its magnitude: Red for a magnitude of 7+ (classed as ‘major’) Orange for a magnitude of 6 – 6.9 If you’re ready to start visualizing your data on a map, sign up for a free trial. Yellow for a magnitude of 5.5 – 5.9

Clustering 64

Clustering Data Visualization Database Data Modeling 64

Alation

DECEMBER 21, 2022

MDM Model Objects. When starting an MDM project, a data model must be created as the blueprint of what the mastered entity comprises. Most MDM tools provide the means to develop the model containing the tables, relationships, and attributes pertinent to the solution. Subscribe to Alation's Blog.

Data Quality 52

Data Quality Data Warehouse Data Profiling Data Governance 52

DataRobot

DECEMBER 16, 2021

and train models with a single click of a button. Advanced users will appreciate tunable parameters and full access to configuring how DataRobot processes data and builds models with composable ML. Explanations around data, models , and blueprints are extensive throughout the platform so you’ll always understand your results.

AI 98

AI AI Exploratory Data Analysis Clustering 98

Cambridge Intelligence

OCTOBER 25, 2023

When you design your data model, you’ll probably begin by sketching out your data in a graph format – representing entities as nodes and relationships as links. Working in a graph database means you can take that whiteboard model and apply it directly to your schema with relatively few adaptations.

Database 64

Database Data Modeling Data Models Algorithm 64

Cambridge Intelligence

NOVEMBER 20, 2023

And the dates span from 1887 to 1985, so players who weren’t alive at the same time can be linked through older or younger intermediaries, which we’ll see by inspecting data timelines using KronoGraph. Which data elements should be nodes and what should connect them? FREE: Start your KronoGraph trial today Visualize your data!

Azure 64

Azure Database Data Modeling Data Models 64

Alation

SEPTEMBER 7, 2021

In this day and age, data governance is critical for effective data modeling and analytics. Active data governance helps organizations meet growing and every-changing compliance requirements with ease. Active data governance introduces a foundation for data scientists and analysts to trust the data.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology. This could be achieved through the use of a NoSQL data model, such as document or key-value stores.

Database 124

Database AI AI Natural Language Processing 124

Cambridge Intelligence

FEBRUARY 15, 2024

If this were a real OSINT investigation, we’d want to search across all available data sources, and SocialNet comes with a bulk search API to do just that. But for this demo, we’ll keep things simple and focus on just two sources: the UK Companies House API (which registers companies in the UK), and LinkedIn.

Data Visualization 64

Data Visualization Data Modeling Data Models 64

phData

MARCH 11, 2024

Traditional CDPs : These platforms are out-of-the-box solutions designed to gather and house their own data store – separate from your core data infrastructure. Characterized by their plug-and-play nature, traditional CDPs often come with lengthy and costly setup processes predicated on rigid data model prerequisites.

Data Warehouse 52

Data Warehouse Cloud Data Data Modeling Data Models 52

Iguazio

DECEMBER 18, 2023

For data science practitioners, productization is key, just like any other AI or ML technology. Successful demos alone just won’t cut it, and they will need to take implementation efforts into consideration from the get-go, and not just as an afterthought. What are their expectations from this hyped technology?

ML 64

ML ML AI AI 64

Iguazio

FEBRUARY 8, 2024

Data Pipeline - Manages and processes various data sources. Application Pipeline - Manages requests and data/model validations. Multi-Stage Pipeline - Ensures correct model behavior and incorporates feedback loops. What’s in store for LLMOps and how can data professionals prepare?

ML 52

ML ML AI AI 52

Iguazio

DECEMBER 18, 2023

For data science practitioners, productization is key, just like any other AI or ML technology. Successful demos alone just won’t cut it, and they will need to take implementation efforts into consideration from the get-go, and not just as an afterthought. What are their expectations from this hyped technology?

ML 52

ML ML AI AI 52

Mlearning.ai

AUGUST 18, 2023

MLOps cover all of the rest, how to track your experiments, how to share your work, how to version your models etc (Full list in the previous post. ). Also same expertise rule applies for an ML engineer, the more versed you are in MLOps the better you can foresee issues, fix data/model bugs and be a valued team member.

ML 52

ML ML Python Data Modeling 52

DataRobot Blog

SEPTEMBER 13, 2022

Companies at this stage will likely have a team of ML engineers dedicated to creating data pipelines, versioning data, and maintaining operations monitoring data, models & deployments. By now, data scientists have witnessed success optimizing internal operations and external offerings through AI.

Data Scientist 52

Data Scientist ML ML AI 52

Iguazio

JANUARY 22, 2024

If you train a model on blogs that have toxic language or bias language towards different genders you get the same results. The result will be the inability to trust the model’s results. Monitoring - Monitor all resources, data, model and application metrics to ensure performance.

Data Pipeline 52

Data Pipeline ML ML Database 52

Hacker News

JULY 18, 2023

What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? And if you want to see demos of some of this functionality, be sure to join us for the livestream of the Citus 12.0 Updates page. Let’s dive in!

Database 118

Database SQL Data Modeling Data Models 118

Cambridge Intelligence

FEBRUARY 20, 2024

Our credit card fraud visualization data We’ve adapted fake data from this Neo4j graph gist to show a set of credit card transactions, some of which have been flagged, potentially by the AI model, as suspicious. In our visual data model, nodes represent people and merchants, linked by transactions.

AI 59

AI AI Machine Learning Machine Learning 59

AWS Machine Learning Blog

NOVEMBER 10, 2023

Refer to the notebook for the complete source code and feel free to adapt it with your own data. from train import fit fit('data', 100, 10, 1, 'auto', 0.01) Alternatively, run the train script from the command line in the same way you may want to use it in a container. It would then be possible to use the Python Debugger, pdb.

ML 88

ML ML Algorithm Python 88

ODSC - Open Data Science

APRIL 6, 2023

But its status as the go-between for programming and data professionals isn’t its only power. Within SQL you can also filter data, aggregate it and create valuations, manipulate data, update it, and even do data modeling.

SQL 98

SQL Data Scientist Database Data Analysis 98

Tableau

DECEMBER 7, 2022

As you ingest and integrate data, the customer graph uses AI modeling to map relationships between data points and allows them to be consumed together. . Harmonize your customer data into a unified view by mapping data sources into shared data models in Genie. Optimize recruiting pipelines.

Tableau 96

Tableau Data Warehouse Data Pipeline Data Visualization 96

Tableau

DECEMBER 7, 2022

As you ingest and integrate data, the customer graph uses AI modeling to map relationships between data points and allows them to be consumed together. . Harmonize your customer data into a unified view by mapping data sources into shared data models in Genie. Optimize recruiting pipelines.

Tableau 94

Tableau Data Warehouse Data Pipeline Data Visualization 94

Alation

APRIL 26, 2021

Understand data assets and databases. One per data source. Data modeling, database design, documentation of data sources. Data governance, requirements analysis. Such alignment translates into setting the right goals, calculating metrics in the right way, and basing it on the right data. Application.

Database 52

Database Machine Learning Machine Learning Database Administration 52

Tableau

DECEMBER 7, 2022

As you ingest and integrate data, the customer graph uses AI modeling to map relationships between data points and allows them to be consumed together. Harmonize your customer data into a unified view by mapping data sources into shared data models in Data Cloud.

Tableau 53

Tableau Data Warehouse Data Pipeline Data Visualization 53

Flipboard

MARCH 23, 2023

While it is still very large, it is significantly smaller than models like GPT-3 while offering similar performance. Bard Google’s code name for its chat-oriented search engine, based on their LaMDA model, and only demoed once in public. The real tests will come when these models are connected to critical systems.

AI 133

AI AI SQL Natural Language Processing 133

The MLOps Blog

MAY 9, 2023

A typical machine learning pipeline with various stages highlighted | Source: Author Common types of machine learning pipelines In line with the stages of the ML workflow (data, model, and production), an ML pipeline comprises three different pipelines that solve different workflow stages. They include: 1 Data (or input) pipeline.

ML 98

ML ML Machine Learning Machine Learning 98

Heartbeat

DECEMBER 27, 2023

These steps include defining business and project objectives, acquiring and exploring data, modeling the data with various algorithms, interpreting and communicating the project outcome, and implementing and maintaining the project.

Machine Learning 52

Machine Learning Machine Learning Python ML 52

Cambridge Intelligence

NOVEMBER 13, 2023

FREE: Start your KronoGraph trial today Visualize your data! Request full access to our KronoGraph SDK, demos and live-coding playground. And we’ll likely want to use our Neo4j data for purposes other than just visualization. But that data isn’t in the right format yet – we’ll have to parse it first.

Database 75

Database Data Modeling Data Models Data Analysis 75

Mlearning.ai

JUNE 16, 2023

Generative AI can be used to automate the data modeling process by generating entity-relationship diagrams or other types of data models and assist in UI design process by generating wireframes or high-fidelity mockups. diagram Using ChatGPT to build system diagrams — Part II Generate C4 diagrams using mermaid.js

AI 52

AI AI Data Analysis Data Analysis 52

DataRobot

JANUARY 20, 2022

As health services consolidate and organizational boundaries creep, there is an urgent need to implement highly flexible and scalable data management systems to enable real-time data sharing and modelling across systems, partners, and third party organizations. Technology Alliance.

Data Warehouse 145

Data Warehouse Data Science AI AI 145

The MLOps Blog

OCTOBER 3, 2023

It offers a single place to track, compare, store, and collaborate on experiments so that Data Scientists can develop production-ready models faster and ML Engineers can access model artifacts instantly in order to deploy them to production. For instance, to allow automatic or semi-automatic retraining of models.

ML 52

ML ML Data Scientist Machine Learning 52

Alation

SEPTEMBER 20, 2021

Establishing baseline data governance is absolutely essential, and a core focus of leading CIOs. The persistent data problem is establishing a data governance policy and practice that includes a well defined & articulated data model. At the moment, data seems to be all over the place.”. Data Discovery.

Data Governance 84

Data Governance Data Quality Data Science Data Modeling 84

The MLOps Blog

JUNE 27, 2023

Model versioning, lineage, and packaging : Can you version and reproduce models and experiments? Can you see the complete model lineage with data/models/experiments used downstream? It enables data scientists to log, compare, and visualize experiments, track code, hyperparameters, metrics, and outputs.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Tableau

DECEMBER 1, 2021

I did not realize as Chris demoed his prototype PhD system that it would become Tableau Desktop , a product used today by millions of people around the world to see and understand data, including in Fortune 500 companies, classrooms, and nonprofit organizations. Relationships in Tableau 2020.2 (May Beginning in Tableau 2020.2,

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Tableau ML ML Database 144