datapine

SEPTEMBER 27, 2022

Some of these ‘structures’ may include putting all the information; for instance, a structure could be about cars, placing them into tables that consist of makes, models, year of manufacture, and color. Originally published in 2018, the book has a second edition that was released in January of 2022.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

FEBRUARY 1, 2024

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. This is where model fine-tuning can help. Before you can fine-tune a model, you need to find a task-specific dataset. Next, we use Amazon SageMaker JumpStart to fine-tune the Llama 2 model with the preprocessed dataset.

Metadata 96

Metadata Modeling Data Processing Unstructured Data 96

CIO Business Intelligence

FEBRUARY 27, 2023

By 2018, the foundation started hosting its own conference, BITCON, with corporate sponsors such as Amazon, Google, and Microsoft. BIT also hosts a startup pre-accelerator program in partnership with the Kukua Institute.

Technology 102

Technology Data Processing IT Interactive 102

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01). Introduction.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

CIO Business Intelligence

SEPTEMBER 5, 2022

We used a locally hosted cloud vendor that was connected to our outsource partner, but also with affiliation to a big global company. But in early 2018, the first major hiccup hit us as the independent party who did the audit missed the terms of use on some of our licensing. Suddenly, the commercial model fell to pieces.

Data Processing 81

Data Processing Digital Transformation Finance Consulting 81

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. 2018-06-21). Introduction.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

APRIL 3, 2019

So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84