NYU Center for Data Science

SEPTEMBER 27, 2023

It has long been a subject of intense study — given a boost, in recent years, from the world of machine learning. Ascribing structure and function to protein sequences is called protein annotation, which bridges the gap between genomics and biology.

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Becoming Human

MAY 15, 2023

It does this by comparing the two languages and trying to translate it on a sentence-by-sentence basis through what is called Parallel Corpora. One of the use cases is to predict virus variants , by being trained on large amounts of genomic data and then using it to generate new sequences. What are LLMs used for?

Machine Learning 124

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Heartbeat

OCTOBER 23, 2023

Data scientists and machine learning engineers work on integrating diverse data sources, such as electronic health records, wearable devices, and genomics data. Another exciting advancement is the integration of genomic and clinical data. Protecting patient privacy and ensuring data security are paramount in health informatics.

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Machine Learning Machine Learning Data Scientist Big Data Analytics 52

Hacker News

MARCH 25, 2024

These include making DNA microarrays for genomics, creating electrical traces for printed circuit boards, and building 3D-printed structures. Piezoelectric devices rely on how some materials, such as ceramic lead-zirconate-titanate (PZT), change shape when subjected to a voltage.

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Heartbeat

FEBRUARY 8, 2024

These features are then compared with text embeddings generated by processing textual descriptions using techniques like word embeddings or recurrent neural networks. Next, prepare the query image for analysis by subjecting it to the same preprocessing steps used on the training images.

Deep Learning 52

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Flipboard

JULY 31, 2023

Additionally, the data comes annotated with 3D joint coordinates of the subjects, facilitating the training of models to monitor the subjects’ movements in three dimensions. It has been used in a variety of research papers, and its results are often used to compare different algorithms. million scene graphs.

Machine Learning 104

Machine Learning Machine Learning Deep Learning Deep Learning 104

Mlearning.ai

JANUARY 27, 2023

How we do this is the subject of the concept of cross-validation. Fundamentals of data mining in genomics and proteomics. In other words, the datasets you ly will likely have repetitive and missing rows compared to the original. We use some of the data for training and some for testing (we will not use test data for training).

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Cross Validation Machine Learning Machine Learning Data Mining 52