DataRobot

FEBRUARY 10, 2021

Even if all the code runs and the model seems to be spitting out reasonable answers, it’s possible for a model to encode fundamental data science mistakes that invalidate its results. As a data scientist, one of my passions is to reproduce research papers as a learning exercise. Target Leakage in a fast.ai

Machine Learning 98

Machine Learning Machine Learning Data Scientist Deep Learning 98

DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

NYU Center for Data Science

SEPTEMBER 11, 2024

What sets Dr. Ho apart is her pioneering work in applying deep learning techniques to astrophysics. I’m excited to be part of CDS because it provides a unique environment where cutting-edge data science methods can be developed and applied to push the boundaries of science,” said Ho. “I

Deep Learning 75

Deep Learning Deep Learning Computer Science Computer Science 75

AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

ML 104

ML ML AWS AI 104

IBM Data Science in Practice

JULY 5, 2023

These handlers might be complex pre-trained deep learning models, like MolFormer or ESM, or simple algorithms like the morgan fingerprint. Nucleic Acids Research, 40(D1):D1100–D1107, 09 2011. Sci Data 10, 67 (2023). The handlers take as input the nodes of the KG of a specific modality (e.g.: Overington. ISSN 0305–1048.

Database 130

Database Python Algorithm Deep Learning 130

AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). He focuses on developing scalable machine learning algorithms.

Algorithm 101

Algorithm Machine Learning Machine Learning Natural Language Processing 101

AWS Machine Learning Blog

APRIL 19, 2023

The resulting training dataset from the processing job can be saved directly as a CSV for model training, or it can be bulk ingested into an offline feature group that can be used for other models and by other data science teams to address a wide variety of other use cases.

ML 98

ML ML Apache Kafka SQL 98