Snowflake

JANUARY 23, 2024

Many developers and enterprises looking to use machine learning (ML) to generate insights from data get bogged down by operational complexity. We have been making it easier and faster to build and manage ML models with Snowpark ML , the Python library and underlying infrastructure for end-to-end ML workflows in Snowflake.

Machine Learning 120

Machine Learning Metadata Python Telecommunication 120

Monte Carlo

MARCH 9, 2023

An often quoted, but still painful, statistic is that only 53% of machine learning projects make it from prototype to production. I’ve seen companies lose millions of dollars because of data freshness issues in a machine learning model set to auto-pilot.

Engineering 52

Engineering Data Pipeline Machine Learning Data Science 52

Rockset

SEPTEMBER 26, 2023

Regardless of the algorithm, one’s favorite music streaming service can only give the best recommendations if it knows all of your recent listening history and what everyone else has played when it generalizes categories of consumption patterns. Real-time information can enhance the query’s specificity or the model’s configuration.

Metadata 64

Metadata Kafka Cloud Database 64

Knowledge Hut

NOVEMBER 28, 2023

AI and Machine Learning AI and machine learning, along with application and knowledge of algorithms, continues to be an important part of data engineer skills. Data Mining Tools Metadata adds business context to your data and helps transform it into understandable knowledge.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Cloudera

MAY 22, 2018

As data scientists iteratively develop models, they often experiment with datasets, features, libraries, and algorithms as well as tuning hyperparameters. save the built model container, along with metadata like who built or deployed it. To see the new capabilities in action, join our webinar on 13 June 2018. Experiments.

Data Science 41

Data Science Machine Learning Metadata Big Data 41

Databand.ai

DECEMBER 29, 2022

He recently joined Databand’s MAD Data Podcast to talk about how his team is building one of the most advanced experimentation and machine learning platforms in the world from the ground up. On LinkedIn, he posts regularly about AI, data, data science, data engineering, and machine learning.

BI 52

BI Consulting Data Science Data Governance 52

ProjectPro

JULY 23, 2021

You can use AWS cloud with nearest neighbor algorithms to work on this project. It includes built-in algorithms that do not need label data. AWS combined with nearest neighbor algorithms will provide accurate results and recommendations. For example, one of the Lambda functions will invoke the metadata in the image uploaded.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52