Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries.   But do you know what AI models mean exactly? What is an AI model? AI models are rapidly advancing in complexity and sophistication.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries.   But do you know what AI models mean exactly? What is an AI model? AI models are rapidly advancing in complexity and sophistication.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Flipboard

MARCH 27, 2023

Project Structure Accelerating Convolutional Neural Networks Parsing Command Line Arguments and Running a Model Evaluating Convolutional Neural Networks Accelerating Vision Transformers Evaluating Vision Transformers Accelerating BERT Evaluating BERT Miscellaneous Summary Citation Information What’s New in PyTorch 2.0?

Deep Learning 117

Deep Learning Deep Learning Python Natural Language Processing 117

Flipboard

JULY 10, 2023

How Autoencoders Achieve High-Quality Reconstructions? Dimensionality Reduction Feature Learning Anomaly Detection Denoising Images Image Inpainting Generative Modeling Recommender Systems Sequence-to-Sequence Learning Image Segmentation How Are Autoencoders Different from GANs?

Deep Learning 110

Deep Learning Deep Learning Machine Learning Machine Learning 110

Heartbeat

JUNE 14, 2023

Introduction Deep neural network classifiers have been shown to be mis-calibrated [1], i.e., their prediction probabilities are not reliable confidence estimates. For example, if a neural network classifies an image as a “dog” with probability p , p cannot be interpreted as the confidence of the network’s predicted class for the image.

Deep Learning 59

Deep Learning Deep Learning Support Vector Machines Machine Learning 59

AWS Machine Learning Blog

FEBRUARY 10, 2023

For instance, it can reveal the preferences of play callers, allow deeper understanding of how respective coaches and teams continuously adjust their strategies based on their opponent’s strengths, and enable the development of new defensive-oriented analytics such as uniqueness of coverages ( Seth et al. ).

ML 65

ML ML Machine Learning Machine Learning 65

IBM Data Science in Practice

DECEMBER 12, 2022

They provide useful insights that help companies improve their services and assist consumers in decision-making. There is no need to provide the target as part of the input or split the task into two steps of target extraction and sentiment classification. Sentiment analysis plays a key role in analyzing these reviews.

Deep Learning 130

Deep Learning Deep Learning Data Science Python 130