DagsHub

DECEMBER 11, 2023

Using data versioning can make it possible to have the snapshot of the training data and experimentation results to make the implementation easier at each iteration. The above challenges can be tackled by using the following eight data version control tools. This can also make the learning process challenging.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

AWS Machine Learning Blog

NOVEMBER 6, 2024

Pass the prompt to the client: response = bedrock_runtime.invoke_model(**kwargs) response This will invoke the Amazon Bedrock model with the provided prompt and print the generated streaming body object response. I ate an ice-cream and swam in the sean nnProvide title between XML tagsnnAssistant:","max_tokens_to_sample":300,"temperature":0.5,"top_k":250,"top_p":1,"stop_sequences":["nnHuman:"],"anthropic_version":"bedrock-2023-05-31"}'}

AWS 126

AWS Python Machine Learning Machine Learning 126

ODSC - Open Data Science

NOVEMBER 19, 2024

ODSC West 2024 showcased a wide range of talks and workshops from leading data science, AI, and machine learning experts. This blog highlights some of the most impactful AI slides from the world’s best data science instructors, focusing on cutting-edge advancements in AI, data modeling, and deployment strategies.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

ODSC - Open Data Science

NOVEMBER 18, 2024

We’ve just wrapped up our last, and best, conference of the year, ODSC West 2024. Dimensional Data Modeling in the Modern Era Dustin Dorsey |Principal Data Architect |Onix With the emergence of big data, cloud computing, and AI-driven analytics, many wonder if the traditional principles of dimensional modeling still hold value.

Deep Learning 40

Deep Learning Deep Learning Database Data Science 40

Tableau

MAY 11, 2022

Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Data modeling for every data source created in Tableau that shows how to query data in connected database tables and how to include a logical (semantic) layer and a physical layer.

Tableau 98

Tableau Data Warehouse Database Data Analyst 98

Tableau

MAY 11, 2022

Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Data modeling for every data source created in Tableau that shows how to query data in connected database tables and how to include a logical (semantic) layer and a physical layer.

Tableau 98

Tableau Data Warehouse Database Data Analyst 98

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52