Data Science Dojo

SEPTEMBER 15, 2023

AI hallucinations: When language models dream in algorithms. Inaccuracies span a spectrum, from odd and inconsequential instances—such as suggesting the Golden Gate Bridge’s relocation to Egypt in 2016—to more consequential and problematic scenarios.

AI 365

AI AI Data Quality Algorithm 365

How to Learn Machine Learning

OCTOBER 10, 2024

The quality of your training data in Machine Learning (ML) can make or break your entire project. This article explores real-world cases where poor-quality data led to model failures, and what we can learn from these experiences. Why Does Data Quality Matter? The outcome? Sounds great, right?

Machine Learning 52

Machine Learning Machine Learning Data Quality Algorithm 52

AWS Machine Learning Blog

MARCH 28, 2024

Preprocessing – You might consider a series of preprocessing steps to improve data quality and training efficiency. For example, certain data sources can contain a fair number of noisy tokens; deduplication is considered a useful step to improve data quality and reduce training cost. billion words 5.1

AWS 132

AWS Machine Learning Machine Learning Data Quality 132

Heartbeat

AUGUST 23, 2023

Consider a scenario where legal practitioners are armed with clever algorithms capable of analyzing, comprehending, and extracting key insights from massive collections of legal papers. Algorithms can automatically detect and extract key items. But what if there was a technique to quickly and accurately solve this language puzzle?

Natural Language Processing 52

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

FEBRUARY 28, 2023

One of the challenges of working with categorical data is that it is not as amenable to being used in many machine learning algorithms. To overcome this, we use one-hot encoding, which converts each category in a column to a separate binary column, making the data suitable for a wider range of algorithms.

ML 101

ML ML AWS Machine Learning 101

DagsHub

DECEMBER 16, 2024

A classification model or a classifier is a type of machine learning algorithm that assigns categories or labels to data points. Improve your data quality for better AI DagsHub helps you easily curate and annotate your vision, audio, and document data with a single platform. Müller, A. C., & Guido, S.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

Defined.ai blog

APRIL 10, 2023

Another approach is to use machine learning algorithms, which can learn to identify and categorize named entities from a large corpus of labelled training data. These algorithms can be trained to recognize a wide range of named entities and can handle complex language, making them a more robust and flexible solution for NER.

Natural Language Processing 52

Natural Language Processing Algorithm Data Quality Machine Learning 52