Dataconomy

AUGUST 25, 2023

Machine learning models: Machine learning models, such as support vector machines, recurrent neural networks, and convolutional neural networks, are used to predict emotional states from the acoustic and prosodic features extracted from the voice. Deep learning techniques have particularly excelled in emotion detection from voice.

Artificial Intelligence 171

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 171

AWS Machine Learning Blog

NOVEMBER 12, 2024

The following question requires complex industry knowledge-based analysis of data from multiple columns in the ETF database. In entered the Big Data space in 2013 and continues to explore that area. The results are similar to fine-tuning LLMs without the complexities of fine-tuning models. Arghya Banerjee is a Sr.

SQL 97

SQL AWS AI AI 97

ODSC - Open Data Science

FEBRUARY 28, 2023

Plotly In the time since it was founded in 2013, Plotly has released a variety of products including Plotly.py, which, along with Plotly.r, Neo4j Neo4j is where the best and brightest go for scalable graphs that are capable of visualizing predictions through both machine and deep learning.

Data Science 96

Data Science Machine Learning Machine Learning AI 96

AWS Machine Learning Blog

NOVEMBER 22, 2023

Embeddings can be stored in a database and are used to enable streamlined and more accurate searches. See a demo of how you can fine-tune a Stable Diffusion model on Amazon EC2 and then deploy it on SageMaker using the AWS Deep Learning AMIs (DLAMI) and AWS Deep Learning Containers. Reserve your seat now!

AWS 127

AWS ML ML AI 127

Heartbeat

DECEMBER 8, 2023

Here are a few reasons why an agent needs tools: Access to external resources: Tools allow an agent to access and retrieve information from external sources, such as databases, APIs, or web scraping. Hinton is viewed as a leading figure in the deep learning community. Meta's chief A.I. scientist calls A.I.

Deep Learning 52

Deep Learning Deep Learning AI AI 52

Mlearning.ai

JUNE 16, 2023

The common practice for developing deep learning models for image-related tasks leveraged the “transfer learning” approach with ImageNet. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.” October 5, 2013. ImageNet: A Large-Scale Hierarchical Image Database.” pre-training).

AI 52

AI AI ML ML 52

DrivenData Labs

DECEMBER 7, 2023

Summary of approach : Using a downsampling method with ChatGPT and ML techniques, we obtained a full NEISS dataset across all accidents and age groups from 2013-2022 with six new variables: fall/not fall, prior activity, cause, body position, home location, and facility. Outside of work, I enjoy traveling and comedy shows.

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130