Towards AI

APRIL 8, 2024

Word2Vec, a widely-adopted NLP algorithm has proven to be an efficient and valuable tool that is now applied across multiple domains, including recommendation systems. Songs that frequently co-occur or appear in similar contexts will have vector representations that are clustered closer together in the high-dimensional embedding space.

Natural Language Processing 81

Natural Language Processing Clustering Algorithm AI 81

AWS Machine Learning Blog

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. Recommendation model using NCF NCF is an algorithm based on a paper presented at the International World Wide Web Conference in 2017.

AWS 108

AWS ML ML Deep Learning 108

PyImageSearch

JULY 3, 2023

Figure 1: Netflix Recommendation System (source: “Netflix Film Recommendation Algorithm,” Pinterest ). Netflix recommendations are not just one algorithm but a collection of various state-of-the-art algorithms that serve different purposes to create the complete Netflix experience.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

DrivenData Labs

DECEMBER 11, 2024

The startup cost is now lower to deploy everything from a GPU-enabled virtual machine for a one-off experiment to a scalable cluster for real-time model execution. Rather than all-or-nothing magical thinking, the best solutions leverage what algorithms and humans do well to create a system that delivers the best results.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

PyImageSearch

OCTOBER 30, 2023

Spotify’s Discover Weekly ( Figure 3 ) is an algorithm-generated playlist released every Monday to offer its listeners custom, curated music recommendations. Spotify also establishes a taste profile by grouping the music users often listen into clusters. These clusters are not based on explicit attributes (e.g.,

K-nearest Neighbors 67

K-nearest Neighbors Algorithm Clustering Machine Learning 67

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., Understanding the robustness of image segmentation algorithms to adversarial attacks is critical for ensuring their reliability and security in practical applications.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Mlearning.ai

MAY 21, 2023

Source code projects provide valuable hands-on experience and allow you to understand the intricacies of machine learning algorithms, data preprocessing, model training, and evaluation. We have the IPL data from 2008 to 2017. We will also be building a beautiful-looking interactive Flask model. Checkout the code walkthrough [link] 13.

Machine Learning 52

Machine Learning Machine Learning Python K-nearest Neighbors 52

Mlearning.ai

MAY 23, 2023

HOGs are great feature detectors and can also be used for object detection with SVM but due to many other State of the Art object detection algorithms like YOLO, and SSD , present out there, we don’t use HOGs much for object detection. We have the IPL data from 2008 to 2017. Checkout the code walkthrough [link] 13.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

As an example, in the following figure, we separate Cover 3 Zone (green cluster on the left) and Cover 1 Man (blue cluster in the middle). We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters. probability and Cover 1 Man with 31.3%

ML 71

ML ML Machine Learning Machine Learning 71

Hacker News

JANUARY 9, 2024

Sometimes it’s a story of creating a superalgorithm that encapsulates decades of algorithmic development. Talking of speedups, another example—made possible by new algorithms operating on multithreaded CPUs—concerns polynomials. In addition, a new algorithm in Version 14.0 but with things like clustering). there are 6602.

Python 181

Python Algorithm Machine Learning Machine Learning 181

Explosion

AUGUST 3, 2017

Supervised learning algorithms have been improving quickly, leading many people to anticipate a new wave of entirely un supervised algorithms : algorithms so “advanced” they can compute whatever you want, without you specifying what that might be. By definition, you can’t directly control what the process returns.

Supervised Learning 52

Supervised Learning Python Machine Learning Machine Learning 52

Flipboard

NOVEMBER 24, 2023

The humble beginnings with Iris In 2017, SnapLogic unveiled Iris, an industry-first AI-powered integration assistant. Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. He currently is working on Generative AI for data integration.

Database 156

Database AWS ETL SQL 156

Mlearning.ai

DECEMBER 21, 2023

MTEB Leaderboard at Hugging Face evaluates almost all available embedding models across seven use cases —  Classification, Clustering, Pair Classification, Reranking, Retrieval, Semantic Textual Similarity (STS) and Summarization. Faster Search Algorithm. However, now they recommend ada v2 for all tasks. Precise Similarity Search.

Database 94

Database AI AI Machine Learning 94

Mlearning.ai

JUNE 6, 2023

HOGs are great feature detectors and can also be used for object detection with SVM but due to many other State of the Art object detection algorithms like YOLO, SSD, present out there, we don’t use HOGs much for object detection. We have the IPL data from 2008 to 2017. This is going to be a very easy and fun project.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

The MLOps Blog

DECEMBER 28, 2022

Organization Acquia Industry Software-as-a-service Team size Acquia built an ML team five years ago in 2017 and has a team size of 6. Team composition The team comprises data pipeline engineers, ML engineers, full-stack engineers, and data scientists.

ML 78

ML ML Data Scientist Machine Learning 78

ML Review

MARCH 5, 2019

Word embeddings Visualisation of word embeddings in AI Distillery Word2vec is a popular algorithm used to generate word representations (aka embeddings) for words in a vector space. Then, the algorithm proceeds with the following word as the new centre word, i.e. “learning”, sets up the new context, and repeats the same procedure.

AI 40

AI AI Clustering Machine Learning 40

PyImageSearch

MAY 1, 2023

Redmon and Farhadi (2017) published YOLOv2 at the CVPR Conference and improved the original model by incorporating batch normalization, anchor boxes, and dimension clusters. However, the algorithm processing time increases significantly, which would pose a problem for deploying these models on OAK devices.

Deep Learning 105

Deep Learning Deep Learning Python Algorithm 105