ODSC - Open Data Science

JANUARY 29, 2024

Text-to-image and text-to-video models are rapidly improving in accuracy and resolution so prompt engineering will be in demand to tune models that can create an expanding range of services from product design, advertising, user interfaces, and even advanced visualization. Scaling Laws These are more advanced and emerging areas in AI.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

The MLOps Blog

JANUARY 23, 2023

More about Neptune: Working with artifacts: versioning datasets in runs How to version datasets or models stored in the S3 compatible storage Dolt Dolt is a SQL database that is created for versioning and sharing data. The pricing for that product varies based on the instance’s CPU, RAM, network speed, and disk space.

ML 52

ML Machine Learning Metadata Data Scientist 52

IBM Journey to AI blog

JANUARY 18, 2023

Concept of lakehouse was made popular by Databricks. It can include technologies that range from Oracle, Teradata and Apache Hadoop to Snowflake on Azure, RedShift on AWS or MS SQL in the on-premises data center, to name just a few. Both want to bring out the idea of a data product offered through a marketplace.

Data Platform 130

Data Platform ETL Metadata Data Discovery 130

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. How can we convert these capabilities into reliable, production-grade applications?

Data Scientist 64

Data Scientist AI AI ML 64

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. How can we convert these capabilities into reliable, production-grade applications?

Data Scientist 59

Data Scientist AI AI ML 59

Artificial Corner

JUNE 6, 2023

Codd’s work led to the development of SQL (Structured Query Language), which became the standard language for managing and manipulating relational databases. SQL allowed users to perform complex queries and manipulations on the data without having to know how the data was structured or where it was stored. SQL Server 1.0

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Marktechpost

JULY 23, 2023

Microsoft Azure Microsoft’s Azure SQL Data Warehouse is a relational database hosted in the cloud. The information may come from various sources, including IoT devices and on-premises SQL databases. Micro Focus Vertica Vertica is a SQL data warehouse that can be accessed online using services like AWS and Azure.

Machine Learning 52

Machine Learning ETL Big Data Data Integration 52

The MLOps Blog

OCTOBER 3, 2023

How do I get this model in production? You see them all the time with a headline like: “data science, machine learning, Java, Python, SQL, or blockchain, computer vision.” Treat your landing page well, and then you might actually retain visitors, similar to a website or a SaaS product. It’s two things. What is FeatureForm?

ML 52

ML Data Scientist Machine Learning Data Science 52

The MLOps Blog

JUNE 27, 2023

This allows you to leverage your preferred ML tools and access a wide range of resources, enhancing productivity and enabling the use of cutting-edge techniques. Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

NVIDIA Developer

JUNE 2, 2021

In this workshop, you’ll learn how to build and execute end-to-end GPU-accelerated data science workflows that enable you to quickly explore, iterate, and get your work into production. Expertise in AWS & Azure Cloud services like Databricks, EMR, HDInsight, S3,ADLS, Data Factory, SQL Warehouse, Cosmo DB, Event Hub, etc.

Data Science 40

Data Science Machine Learning NLP Big Data Engineer 40

NVIDIA Developer

MAY 20, 2021

In this workshop, you’ll learn how to build and execute end-to-end GPU-accelerated data science workflows that enable you to quickly explore, iterate, and get your work into production. Expertise in AWS & Azure Cloud services like Databricks, EMR, HDInsight, S3,ADLS, Data Factory, SQL Warehouse, Cosmo DB, Event Hub, etc.

Natural Language Processing 40

Natural Language Processing Deep Learning Neural Network NLP 40

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. Machine learning platforms are increasingly looking to be the “fix” to successfully consolidate all the components of MLOps from development to production.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69