ODSC - Open Data Science

JANUARY 5, 2024

Scikit-learn A machine learning powerhouse, Scikit-learn provides a vast collection of algorithms and tools, making it a go-to library for many data scientists. It is easy to use, with a well-documented API and a wide range of tutorials and examples available. What really makes Django are a few things.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

AWS Machine Learning Blog

JANUARY 6, 2023

OpenSearch Service offers kNN search, which can enhance search in use cases such as product recommendations, fraud detection, and image, video, and some specific semantic scenarios like document and query similarity. Karan Sindwani is a Data Scientist at Amazon ML Solutions Lab, where he builds and deploys deep learning models.

AWS 101

AWS ML ML Machine Learning 101

Mlearning.ai

FEBRUARY 15, 2023

Figure 5 Feature Extraction and Evaluation Because most classifiers and learning algorithms require numerical feature vectors with a fixed size rather than raw text documents with variable length, they cannot analyse the text documents in their original form.

Cross Validation 52

Cross Validation Decision Trees Algorithm Natural Language Processing 52

AWS Machine Learning Blog

APRIL 5, 2023

Implementing this unified image and text search application consists of two phases: k-NN reference index – In this phase, you pass a set of corpus documents or product images through a CLIP model to encode them into embeddings. You save those embeddings into a k-NN index in OpenSearch Service.

ML 112

ML ML AWS K-nearest Neighbors 112

Mlearning.ai

JUNE 6, 2023

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This list will consist of Machine learning projects, Deep Learning Projects, Computer Vision Projects , and all other types of interesting projects with source codes also provided. This is a simple project.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

DagsHub

DECEMBER 23, 2024

Optimized Expert Time Active Learning ensures expert time is spent on cases where their expertise adds the most value. Key Characteristics Static Dataset : Works with a predefined set of unlabeled examples Batch Selection : Can select multiple samples simultaneously for labeling because of which it is widely used by deep learning models.

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Clustering 52

Pickl AI

SEPTEMBER 12, 2024

Decision Trees: A supervised learning algorithm that creates a tree-like model of decisions and their possible consequences, used for both classification and regression tasks. Deep Learning : A subset of Machine Learning that uses Artificial Neural Networks with multiple hidden layers to learn from complex, high-dimensional data.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Google Research AI blog

NOVEMBER 28, 2022

Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygóźdź, Piotr Miłoś, Yuhuai Wu , Mateja Jamnik TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s Felix Chern , Blake Hechtman , Andy Davis , Ruiqi Guo , David Majnemer , Sanjiv Kumar When Does Dough Become a Bagel?

Machine Learning 52

Machine Learning Machine Learning Algorithm Clustering 52

AWS Machine Learning Blog

NOVEMBER 18, 2024

Amazon Titan Text Embeddings models generate meaningful semantic representations of documents, paragraphs, and sentences. It supports exact and approximate nearest-neighbor algorithms and multiple storage and matching engines. RAG helps FMs deliver more relevant, accurate, and customized responses.

K-nearest Neighbors 113

K-nearest Neighbors AWS ML ML 113