Marktechpost
JANUARY 12, 2025
AI is creating a new scientific paradigm with the acceleration of processes like data analysis, computation, and idea generation. Fudan University and the Shanghai Artificial Intelligence Laboratory have developed DOLPHIN, a closed-loop auto-research framework covering the entire scientific research process.
Marktechpost
DECEMBER 18, 2024
TabNine TabNine is an AI-powered code auto-completion tool developed by Codota, designed to enhance coding efficiency across a variety of Integrated Development Environments (IDEs). It offers powerful capabilities in natural language processing (NLP), machine learning, data analysis, and decision optimization.
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PyImageSearch
FEBRUARY 6, 2023
Table of Contents Training a Custom Image Classification Network for OAK-D Configuring Your Development Environment Having Problems Configuring Your Development Environment? Furthermore, this tutorial aims to develop an image classification model that can learn to classify one of the 15 vegetables (e.g.,
Marktechpost
AUGUST 10, 2023
By leveraging pre-trained LLMs and powerful vision foundation models (VFMs), the model demonstrates promising performance in discriminative tasks like image-text retrieval and zero classification, as well as generative tasks such as visual question answering (VQA), visual reasoning, image captioning, region captioning/VQA, etc.
AWS Machine Learning Blog
JUNE 23, 2023
We use this extracted dataset for exploratory data analysis and feature engineering. You can choose to sample the data from Snowflake in the SageMaker Data Wrangler UI. Another option is to download complete data for your ML model training use cases using SageMaker Data Wrangler processing jobs.
AWS Machine Learning Blog
JULY 31, 2023
It also enables you to evaluate the models using advanced metrics as if you were a data scientist. In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab.
AWS Machine Learning Blog
MARCH 1, 2023
To solve this problem, we make the ML solution auto-deployable with a few configuration changes. In our case, we used AutoGluon with SageMaker to realize a two-stage prediction, including churn classification and lifetime value regression. The ETL pipeline, MLOps pipeline, and ML inference should be rebuilt in a different AWS account.
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