IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

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AWS Machine Learning Blog

APRIL 4, 2023

AWS provides various services catered to time series data that are low code/no code, which both machine learning (ML) and non-ML practitioners can use for building ML solutions. 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.

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Analytics Vidhya

JANUARY 2, 2024

Introduction Voronoi diagrams, named after the Russian mathematician Georgy Voronoy, are fascinating geometric structures with applications in various fields such as computer science, geography, biology, and urban planning.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

It is important to consider the massive amount of compute often required to train these models. When using compute clusters of massive size, a single failure can often throw a training job off course and may require multiple hours of discovery and remediation from customers.

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AWS Machine Learning Blog

SEPTEMBER 18, 2023

Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need for distributed ML, where multiple machines are used to train a single model. With Ray and AIR, the same Python code can scale seamlessly from a laptop to a large cluster.

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Towards AI

MAY 1, 2024

Created by the author with DALL E-3 R has become very ideal for GIS, especially for GIS machine learning as it has topnotch libraries that can perform geospatial computation. R has simplified the most complex task of geospatial machine learning. Advantages of Using R for Machine Learning 1.

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Dataconomy

MARCH 12, 2025

Machine teaching is redefining how we interact with artificial intelligence (AI) and machine learning (ML). As industries increasingly adopt AI solutions, professionals without a technical background can now step into the realm of machine learning, leveraging powerful algorithms to automate tasks and improve decision-making.

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AWS Machine Learning Blog

APRIL 10, 2025

As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. Larger clusters, more failures, smaller MTBF As cluster size increases, the entropy of the system increases, resulting in a lower MTBF. It implies that if a single instance fails, it stops the entire job.

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Google Research AI blog

MAY 25, 2023

Posted by Vincent Cohen-Addad and Alessandro Epasto, Research Scientists, Google Research, Graph Mining team Clustering is a central problem in unsupervised machine learning (ML) with many applications across domains in both industry and academic research more broadly. When clustering is applied to personal data (e.g.,

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AWS Machine Learning Blog

NOVEMBER 22, 2024

Although QLoRA helps optimize memory during fine-tuning, we will use Amazon SageMaker Training to spin up a resilient training cluster, manage orchestration, and monitor the cluster for failures. In response, SageMaker spins up training jobs with the requested number and type of compute instances. 24xlarge compute instance.

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ODSC - Open Data Science

MARCH 14, 2023

One of the simplest and most popular methods for creating audience segments is through K-means clustering, which uses a simple algorithm to group consumers based on their similarities in areas such as actions, demographics, attitudes, etc. In this tutorial, we will work with a data set of users on Foursquare’s U.S.

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Flipboard

FEBRUARY 16, 2025

However, these studies used small datasets, had overfitting problems, lacked generalizability, or used complex algorithms that may require additional computational resources. In this study, we collected and analyzed center-based data and used a recursive embedding and clustering technique to reduce their dimensionality.

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Flipboard

JANUARY 24, 2025

Overview of vector search and the OpenSearch Vector Engine Vector search is a technique that improves search quality by enabling similarity matching on content that has been encoded by machine learning (ML) models into vectors (numerical encodings). A right-sized cluster will keep this compressed index in memory.

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AWS Machine Learning Blog

MAY 14, 2025

With HyperPod, users can begin the process by connecting to the login/head node of the Slurm cluster. Alternatively, you can also use the AWS CloudFormation template provided in the Own Account workshop and follow the instructions to set up a cluster and a development environment to access and submit jobs to the cluster.

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Flipboard

NOVEMBER 16, 2024

The power and performance of this framework are demonstrated for three conceptually very different classes of interatomic potentials: an empirical potential (embedded atom method - EAM), neural networks (high-dimensional neural network potentials - HDNNP) and expansions in basis sets (atomic cluster expansion - ACE).

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AWS Machine Learning Blog

MAY 15, 2025

By automating repetitive tasks, SuperAcc enhances both operational efficiency and accuracy, using Apoideas self-trained machine learning (ML) models to deliver consistent, high-accuracy results in live production environments. Yanwei Cui , PhD, is a Senior Machine Learning Specialist Solutions Architect at AWS.

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Towards AI

APRIL 4, 2024

Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme. Amidst the hoopla, do people actually understand what machine learning is, or are they just using the word as a text thread equivalent of emoticons?

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Flipboard

NOVEMBER 7, 2024

Training machine learning models for tasks such as de novo sequencing or spectral clustering requires large collections of confidently identified spectra. Here we describe a dataset of 2.8 million high-confidence peptide-spectrum matches derived from nine different species.

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Machine Learning Machine Learning Clustering Data Quality 73

Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification.

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Flipboard

DECEMBER 27, 2024

DeepSeek trains DeepSeek-V3 model with 671 billion parameters on a cluster of 2048 GPUs.

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Flipboard

MAY 5, 2025

Amazon OpenSearch Service is a fully managed solution that simplifies the deployment, operation, and scaling of OpenSearch clusters in the AWS Cloud. Figure 2 : Amazon OpenSearch Service for Vector Search: Demo Key Features of AWS OpenSearch Scalability: Easily scale clusters up or down based on workload demands.

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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.

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Flipboard

JANUARY 3, 2025

However, necessary image segmentation to single cells is challenging and error prone, easily confounding the interpretation of cellular phenotypes and cell clusters. Spatial expression assays are affected by segmentation errors leading to difficulty interpreting cell types.

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Machine Learning Machine Learning Clustering Computer Science 124

Flipboard

FEBRUARY 13, 2025

The study found that cation vacancy defects in wustite tend to aggregate, forming stable cluster structures. It also elucidated the formation mechanisms of interstitial iron atoms and typical defect clusters in wustite, establishing the formation preference for Koch–Cohen defect clusters.

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Clustering Deep Learning Deep Learning Computer Science 94

AWS Machine Learning Blog

FEBRUARY 11, 2025

GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. He received his PhD in Computer Science from the KTH Royal Institute of Technology, Stockholm, in 2019.

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IBM Journey to AI blog

JULY 6, 2023

These computer science terms are often used interchangeably, but what differences make each a unique technology? To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. Machine learning is a subset of AI.

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Deep Learning Deep Learning Machine Learning Machine Learning 71

AWS Machine Learning Blog

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. In contrast, with federated learning, training usually occurs in multiple separate accounts or across Regions. She has extensive experience in machine learning with a PhD degree in computer science.

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Machine Learning Machine Learning AWS ML 98

Data Science Dojo

AUGUST 11, 2023

Machine learning is a field of computer science that uses statistical techniques to build models from data. Supervised machine learning algorithms, such as linear regression and decision trees, are fundamental models that underpin predictive modeling.

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Flipboard

FEBRUARY 5, 2025

This work proposes a robust solution for identifying and classifying a wide spectrum of materials through an iterative technique, called symmetry-based clustering (SBC). Because SBC is not a machine learning-based method, it requires no prior training.

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Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

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Computer Science Computer Science Data Science Machine Learning 52

AWS Machine Learning Blog

OCTOBER 23, 2024

At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models. Dhawal Patel is a Principal Machine Learning Architect at AWS. He focuses on Deep learning including NLP and Computer Vision domains.

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AWS Machine Learning Blog

JANUARY 30, 2025

The MoE architecture allows activation of 37 billion parameters, enabling efficient inference by routing queries to the most relevant expert clusters. He holds a Bachelors degree in Computer Science and Bioinformatics. This approach allows the model to specialize in different problem domains while maintaining overall efficiency.

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Pickl AI

DECEMBER 3, 2024

Summary: The UCI Machine Learning Repository, established in 1987, is a crucial resource for Machine Learning practitioners. It supports various learning tasks, including classification and regression, and is organised by type and domain, facilitating easy access for users worldwide.

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Machine Learning Machine Learning Clustering Supervised Learning 52

Mlearning.ai

JUNE 27, 2023

Hierarchical Clustering. Hierarchical Clustering: Since, we have already learnt “ K- Means” as a popular clustering algorithm. The other popular clustering algorithm is “Hierarchical clustering”. remember we have two types of “Hierarchical Clustering”. Divisive Hierarchical clustering. They are : 1.Agglomerative

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AWS Machine Learning Blog

SEPTEMBER 26, 2024

However, building large distributed training clusters is a complex and time-intensive process that requires in-depth expertise. It removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training foundation models (FMs).

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Flipboard

DECEMBER 22, 2023

As the camera moves out, the cubes form clusters of similar colors. A camera moves through a cloud of multi-colored cubes, each representing an email message. Three passing cubes are labeled “k *@enron.com”, “m @enron.com” and “j **@enron.com.” By Jeremy White Dec. 22, 2023 Last month, I …

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Clustering Computer Science Computer Science Machine Learning 182

Flipboard

NOVEMBER 18, 2024

Artificial intelligence infrastructure provider Nebius Group NV today announced the launch of its first graphics processing unit clusters in the U.S. …

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