PyImageSearch

MAY 12, 2025

e "discovery.type=single-node" : Runs OpenSearch as a single-node cluster (since were not setting up a distributed system locally). You should see details about cluster health, the number of nodes, and the OpenSearch version. You should see details about cluster health, the number of nodes, and the OpenSearch version.

AWS 71

AWS K-nearest Neighbors Deep Learning Deep Learning 71

Hacker News

JULY 1, 2025

But if your issue is suffered by many but you don't all cluster together in latitude and longitude then that issue has less weight. We value super strongly transparency, do open books, have a public roadmap, and contribute to the EFF. Strong background in Computer Science. Where you live means something.

Python 75

Python AWS ML ML 75

Hacker News

JUNE 29, 2025

books, courses, etc) reply jesse__ 8 hours ago | root | parent | next [–] Voxel engines are interesting because they're very much an area of active research. reply wtf242 18 hours ago | prev | next [–] Still working on my books site https://thegreatestbooks.org that I started in 2008. Is it using ESPHome?

AI 77

AI AI Database Python 77

AWS Machine Learning Blog

APRIL 4, 2023

In this post, we seek to separate a time series dataset into individual clusters that exhibit a higher degree of similarity between its data points and reduce noise. The purpose is to improve accuracy by either training a global model that contains the cluster configuration or have local models specific to each cluster.

Clustering 101

Clustering ML ML AWS 101

PyImageSearch

SEPTEMBER 16, 2024

Home Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? Spectral clustering, a technique rooted in graph theory, offers a unique way to detect anomalies by transforming data into a graph and analyzing its spectral properties.

Clustering 57

Clustering Algorithm Machine Learning Machine Learning 57

AWS Machine Learning Blog

JULY 10, 2025

Amazon SageMaker HyperPod now provides a comprehensive, out-of-the-box dashboard that delivers insights into foundation model (FM) development tasks and cluster resources. With this unified view, you can trace model development task performance to cluster resources with aggregation of resource metrics at the task level.

Clustering 80

Clustering AWS Machine Learning Machine Learning 80

Pickl AI

JANUARY 13, 2025

Summary: This curated list of 20 Artificial Intelligence books for beginners highlights foundational concepts, coding practices, and ethical insights. This blog highlights the 20 best Artificial Intelligence books tailored for newcomers, offering practical insights, ethical considerations, and real-world applications.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

Data Science Dojo

SEPTEMBER 19, 2023

Read the Top 10 Statistics Books for Data Science Geometry and Topology 7. You will likely find that the histogram is bell-shaped, with most of the students clustered around the average height and fewer students at the extremes. The wave equation is used in many different areas of physics, engineering, and computer science.

Computer Science 195

Computer Science Computer Science Data Science Algorithm 195

Data Science 101

OCTOBER 12, 2023

I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. Once the data is processed I do machine learning: clustering, topic finding, extraction, and classification. I think of Computer Science as a tool. You are writing a book about Semantic Kernel. I use PyTorch for that.

Azure 64

Azure Computer Science Computer Science Clustering 64

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. The State of AI Report gives the size and owners of the largest A100 clusters, the top few being Meta with 21,400, Tesla with 16,000, XTX with 10,000, and Stability AI with 5,408.

AWS 113

AWS ML ML Clustering 113

Flipboard

NOVEMBER 24, 2023

About the Authors Greg Benson is a Professor of Computer Science at the University of San Francisco and Chief Scientist at SnapLogic. Greg has published research in the areas of operating systems, parallel computing, and distributed systems. He is the author of the upcoming book “What’s Your Problem?”

Database 156

Database AWS ETL SQL 156

PyImageSearch

JUNE 19, 2023

movies, books, videos, or music) for any user. Figure 8: K-nearest neighbor algorithm (source: Towards Data Science ). Clustering Clustering is a class of algorithms that segregates the data into a set of definite clusters such that similar points lie in the same cluster and dissimilar points lie in different clusters.

K-nearest Neighbors 57

K-nearest Neighbors Clustering Algorithm Deep Learning 57

O'Reilly Media

OCTOBER 19, 2021

Adapted from the book Effective Data Science Infrastructure. Prior to the cloud, setting up and operating a cluster that can handle workloads like this would have been a major technical challenge. They are often built by data scientists who are not software engineers or computer science majors by training.

ML 145

ML ML Data Scientist AWS 145

PyImageSearch

OCTOBER 21, 2024

In the first part of our Anomaly Detection 101 series, we learned the fundamentals of Anomaly Detection and saw how spectral clustering can be used for credit card fraud detection. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science?

Algorithm 113

Algorithm Deep Learning Deep Learning Data Preparation 113

Snorkel AI

JANUARY 26, 2024

Adapting and Auditing LLMs in the age of instruction tuning Stephen Bach, an assistant professor of computer science at Brown, discussed the importance of managing training data for LLMs. Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks.

Data Science 64

Data Science AI AI Machine Learning 64

PyImageSearch

SEPTEMBER 30, 2024

Orchestration Tools: Kubernetes, Docker Swarm Purpose: Manages the deployment, scaling, and operation of application containers across clusters of hosts. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science?

Python 110

Python Deep Learning Deep Learning AWS 110

PyImageSearch

JANUARY 9, 2023

Thus, in order to build effective face recognition systems, we need to develop training strategies that can enable us to build an embedding space where similar face images or face images of a given person are clustered together and face images of different people are farther apart. Or requires a degree in computer science?

Deep Learning 103

Deep Learning Deep Learning Database Algorithm 103

Snorkel AI

JANUARY 26, 2024

Adapting and Auditing LLMs in the age of instruction tuning Stephen Bach, an assistant professor of computer science at Brown, discussed the importance of managing training data for LLMs. Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks.

Data Science 52

Data Science Data Scientist AI AI 52

PyImageSearch

OCTOBER 2, 2023

By visualizing this space, colored by clothing type, as shown in Figure 9 , we can discern clusters, patterns, and potential correlations between different attributes. Similar class labels tend to form clusters, as observed with the Convolutional Autoencoder. Or requires a degree in computer science? That’s not the case.

Deep Learning 122

Deep Learning Deep Learning Clustering Computer Science 122

PyImageSearch

APRIL 3, 2023

computer vision) on a daily basis. As an engineer, your work might include more than just running the deep learning models on a cluster equipped with high-end GPUs and achieving state-of-the-art results on the test data. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated?

Deep Learning 67

Deep Learning Deep Learning AI AI 67

PyImageSearch

OCTOBER 23, 2023

The potential clusters or patterns observed might correspond to different facial features or attributes present in the CelebA dataset. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science? That’s not the case.

Deep Learning 70

Deep Learning Deep Learning Computer Science Computer Science 70

The MLOps Blog

OCTOBER 3, 2023

Mikiko Bazeley: Most people are really surprised to hear that my background in college was not computer science. I would need to have the infrastructure to perform computations. It can be a cluster run by Kubernetes or maybe something else. When I was in college, I studied anthropology and economics.

ML 52

ML ML Data Scientist Machine Learning 52

Hacker News

JULY 14, 2023

If you’re interested in exec team dynamics and the craft of strategy, these three books have been particularly formative for our exec team: The Advantage : Why Organizational Health Trumps Everything Else in Business by Patrick Lencioni Good Strategy Bad Strategy by Richard P.

Computer Science 123

Computer Science Computer Science Clustering 123

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. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science?

Deep Learning 109

Deep Learning Deep Learning Python Algorithm 109

PyImageSearch

NOVEMBER 18, 2024

Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science? All you need to master computer vision and deep learning is for someone to explain things to you in simple, intuitive terms. That’s not the case. Download the code!

Deep Learning 119

Deep Learning Deep Learning Data Visualization Machine Learning 119

Hacker News

JUNE 15, 2025

145 for mathematics and computer science in Kyiv , showing remarkable aptitude for both programming and electronics. According to associates, his decision was directly influenced by mapping UFO sighting clusters and abduction reports across the United States. 1975-1983 Attends the specialized School No.

Computer Science 60

Computer Science Computer Science Artificial Intelligence Clustering 60