ODSC - Open Data Science

MAY 25, 2023

sktime — Python Toolbox for Machine Learning with Time Series Editor’s note: Franz Kiraly is a speaker for ODSC Europe this June. Be sure to check out his talk, “ sktime — Python Toolbox for Machine Learning with Time Series ,” there! Welcome to sktime, the open community and Python framework for all things time series.

Machine Learning 98

Machine Learning Machine Learning Python Data Scientist 98

PyImageSearch

NOVEMBER 13, 2023

Home Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.

Deep Learning 117

Deep Learning Deep Learning Algorithm Support Vector Machines 117

Mlearning.ai

APRIL 1, 2023

It was first introduced in 2013 by a team of researchers at Google led by Tomas Mikolov. Word2Vec is a shallow neural network that learns to predict the probability of a word given its context (CBOW) or the context given a word (skip-gram). Doc2Vec extends the Word2Vec model to learn document-level representations.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Clustering 52

Towards AI

JULY 19, 2023

Deep learning algorithms can be applied to solving many challenging problems in image classification. Therefore, Now we conquer this problem of detecting the cracks using image processing methods, deep learning algorithms, and Computer Vision. 567–577, 2013. irregular illuminated conditions, shading, and blemishes.

Deep Learning 98

Deep Learning Deep Learning Algorithm AI 98

ODSC - Open Data Science

FEBRUARY 28, 2023

Improving Operations and Infrastructure Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users. Blueprint’s tools and services allow organizations to quickly obtain decision-guiding insights from your data.

Data Science 96

Data Science Machine Learning Machine Learning AI 96

AWS Machine Learning Blog

NOVEMBER 12, 2024

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. He also holds an MBA from Colorado State University. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.

SQL 98

SQL AWS AI AI 98

PyImageSearch

OCTOBER 2, 2023

Jump Right To The Downloads Section A Deep Dive into Variational Autoencoder with PyTorch Introduction Deep learning has achieved remarkable success in supervised tasks, especially in image recognition. VAEs were introduced in 2013 by Diederik et al. Looking for the source code to this post? That’s not the case.

Deep Learning 112

Deep Learning Deep Learning Clustering Computer Science 112