PyImageSearch

DECEMBER 23, 2024

These scenarios demand efficient algorithms to process and retrieve relevant data swiftly. This is where Approximate Nearest Neighbor (ANN) search algorithms come into play. ANN algorithms are designed to quickly find data points close to a given query point without necessarily being the absolute closest.

K-nearest Neighbors 117

K-nearest Neighbors Algorithm Deep Learning Deep Learning 117

Hacker News

JULY 22, 2025

Learn more about our Philosophy Learn more Philosophy People Our researchers drive advancements in computer science through both fundamental and applied research. Learn more about our Projects Learn more Projects Publications Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.

Data Mining 176

Data Mining Data Mining Data Mining Natural Language Processing 176

KDnuggets

JULY 17, 2025

Matthew Mayo ( @mattmayo13 ) holds a masters degree in computer science and a graduate diploma in data mining. As managing editor of KDnuggets & Statology , and contributing editor at Machine Learning Mastery , Matthew aims to make complex data science concepts accessible.

Natural Language Processing 300

Natural Language Processing Data Science Python Machine Learning 300

Flipboard

MARCH 22, 2025

The large language models (LLMs) that underpin products like OpenAI's ChatGPT, for instance, need to devour enormous datasets of written words to fine tune an algorithm to follow the rules of language. They're so hungry for raw data, in fact, that original material for these algorithms to gobble up is becoming hard to come by.

AI 154

AI AI Computer Science Computer Science 154

Flipboard

MAY 3, 2025

This study explores the application of machine learning algorithms in predicting high-risk pregnancy among expectant mothers, aiming to construct an

Machine Learning 73

Machine Learning Machine Learning Algorithm Computer Science 73

Flipboard

JANUARY 24, 2025

Disk mode uses the HNSW algorithm to build indexes, so m is one of the algorithm parameters, and it defaults to 16. Dylan holds a BSc and MEng degree in Computer Science from Cornell University. If you build an index for a 1-billion vector corpus encoded by Amazon Titan Text, your memory requirements are 282 GB.

K-nearest Neighbors 135

K-nearest Neighbors ML ML Algorithm 135

Dataconomy

JULY 24, 2025

It’s not just a simple calculation; it offers insights into how aligned vectors are, which can be critical in fields like physics, engineering, and computer science. The dot product is a fascinating mathematical operation that reveals the relationship between two vectors. What is the dot product?

Computer Science 91

Computer Science Computer Science Clustering Machine Learning 91

Pickl AI

OCTOBER 29, 2024

Approach To address this issue, Pfizer implemented Machine Learning algorithms that analysed historical maintenance data to forecast future maintenance needs. Implementation Data Scientists created algorithms that processed vast datasets to identify trends and preferences among users. Frequently Asked Questions What is Data Science?

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Dataconomy

FEBRUARY 20, 2025

By developing an algorithm that transforms natural language propositions into structured coherence graphs, the researchers benchmark AI models’ ability to reconstruct logical relationships. The researchers’ approach takes inspiration from both psychology and computer science. What is coherence-driven inference?

AI 121

AI AI Algorithm Computer Science 121

Flipboard

JULY 2, 2025

OpenSearch uses algorithms from the NMSLIB , Faiss , and Lucene libraries to power approximate k-NN search. Within the Faiss engine, OpenSearch supports both Hierarchical Navigable Small World (HNSW) and Inverted File System (IVF) algorithms. To learn more about the differences between these engine algorithms, see Vector search.

AWS 119

AWS Clustering K-nearest Neighbors Algorithm 119

AWS Machine Learning Blog

NOVEMBER 15, 2024

Data scientists and developers can use the SageMaker integrated development environment (IDE) to access a vast array of pre-built algorithms, customize their own models, and seamlessly scale their solutions. Yang holds a Bachelor’s and Master’s degree in Computer Science from Texas A&M University.

AWS 108

AWS Computer Science Computer Science Database 108

Flipboard

MAY 4, 2025

Now, if only I could get a playlist longer than ten songs I'd be happy. As a longtime Spotify user, theres plenty that I love about the streaming giant. It knows my music tastes better than I do, and I start shared jams almost every time I hang out with my friends. Yet, I often find myself a little

Algorithm 126

Algorithm Computer Science Computer Science Machine Learning 126

PyImageSearch

DECEMBER 9, 2024

Okay, here it is: The 3-Way Process of Gaussian Splatting: Whats interesting is how we begin from Photogrammetry Now, the actual process isnt so easy to get, its actually explained here: The Gaussian Splatting Algorithm (source: Kerbl et al., Essentially, you send 30+ input images to an SfM algorithm, and it returns a point cloud.

Deep Learning 115

Deep Learning Deep Learning Algorithm Computer Science 115

AWS Machine Learning Blog

NOVEMBER 26, 2024

Improved trading and investment platforms – AI algorithms can potentially execute trades faster and more optimally than human traders. Early disease detection – Algorithms are getting very good at analyzing medical images and data to identify potential diseases and conditions much earlier than human doctors. He holds Ph.D.

AWS 123

AWS Machine Learning Machine Learning AI 123

Pickl AI

DECEMBER 26, 2024

Introduction In recent years, two technological fields have emerged as frontrunners in shaping the future: Artificial Intelligence (AI) and Quantum Computing. A study demonstrated that quantum algorithms could accelerate the discovery of new materials by up to 100 times compared to classical methods.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

Pickl AI

JUNE 5, 2025

Machine Learning & AI: Hands-on experience with supervised and unsupervised algorithms, deep learning frameworks (TensorFlow, PyTorch), and natural language processing (NLP) is highly valued. Finance and Banking: Fraud detection, credit scoring, risk management, and algorithmic trading are key focus areas. Master’s and Ph.D.:

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Hacker News

JUNE 20, 2025

In particular, our focus will be on Galois Fields (also known as Finite Fields) and their applications in Computer Science. Often computer science mathematics start and end with Discrete Math. Why would a computer scientist care? Well, we use computer algorithms to manipulate data.

Computer Science 79

Computer Science Computer Science Algorithm 79

Hacker News

JULY 8, 2025

Our results strongly suggest that DeepQA is an effective and extensible architecture that may be used as a foundation for combining, deploying, evaluating and advancing a wide range of algorithmic techniques to rapidly advance the field of QA. Chu-Carroll, J., Kalyanpur, A.

Computer Science 65

Computer Science Computer Science Artificial Intelligence Artificial Intelligence 65

AWS Machine Learning Blog

OCTOBER 23, 2024

Data retrieval and augmentation – When a query is initiated, the Vector Database Snap Pack retrieves relevant vectors from OpenSearch Service using similarity search algorithms to match the query with stored vectors. He focuses on Deep learning including NLP and Computer Vision domains.

AI 89

AI AI AWS Database 89

Pickl AI

DECEMBER 25, 2024

Data Science is an interdisciplinary field that focuses on extracting knowledge and insights from structured and unstructured data. It combines statistics, mathematics, computer science, and domain expertise to solve complex problems. Data Science, however, uses predictive and prescriptive solutions.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

AWS Machine Learning Blog

JANUARY 31, 2025

Increasingly, FMs are completing tasks that were previously solved by supervised learning, which is a subset of machine learning (ML) that involves training algorithms using a labeled dataset. He received his Masters in Computer Science from the University of Illinois at Urbana-Champaign.

Supervised Learning 99

Supervised Learning Data Scientist AWS ML 99

AWS Machine Learning Blog

FEBRUARY 25, 2025

For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module. The following figure illustrates the F1 scores for each class plotted against the number of neighbors (k) used in the k-NN algorithm. The SVM algorithm requires the tuning of several parameters to achieve optimal performance.

Algorithm 80

Algorithm Machine Learning Machine Learning K-nearest Neighbors 80

NYU Center for Data Science

JULY 16, 2025

Sirotkina’s research focuses on computational political behavior, where she develops computational approaches and methods for political science by leveraging computer vision tools and behavioral latency to ultimately better understand and predict political behavior at scale.

Data Science 98

Data Science Algorithm Computer Science Computer Science 98

AWS Machine Learning Blog

NOVEMBER 18, 2024

It supports exact and approximate nearest-neighbor algorithms and multiple storage and matching engines. OpenSearch Serverless benchmarks using the Hierarchical Navigable Small Worlds (HNSW) algorithm with binary vectors have unveiled a 50% reduction in search OpenSearch Computing Units (OCUs), translating to cost savings for users.

K-nearest Neighbors 111

K-nearest Neighbors AWS ML ML 111

AWS Machine Learning Blog

DECEMBER 2, 2024

He holds a PhD in Computer Science and Electrical Engineering from IMTLucca (Italy) and KU Leuven (Belgium), where his research focused on numerical optimization algorithms for machine learning and optimal control applications.

Machine Learning 96

Machine Learning Machine Learning Deep Learning Deep Learning 96

Dataconomy

JANUARY 24, 2025

When I was studying math and computer science, I discovered machine learning and found it fascinatingit let me combine theory with practical problem-solving in all kinds of industries. Then I lead data science projectsdesigning models, laying out data pipelines, and making sure everything is tested thoroughly.

AI 113

AI AI Machine Learning Machine Learning 113

Dataconomy

JULY 10, 2025

Quantum computing represents a groundbreaking fusion of mathematics, physics, and computer science, promising to revolutionize the way we process information. Unlike traditional computers that manipulate bits as 0s and 1s, quantum computers use qubits that can exist in multiple states simultaneously.

Computer Science 91

Computer Science Computer Science Algorithm AI 91

Pickl AI

MARCH 7, 2025

Automation, ethical AI, and quantum computing will shape Data Science by 2025. What Is Data Science? At its core, Data Science is an interdisciplinary field that combines mathematics, statistics, computer science, and domain expertise to extract actionable insights from structured and unstructured data.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Dataconomy

FEBRUARY 27, 2025

Background and interdisciplinary approach Various disciplines contribute to the development and understanding of neuromorphic computing. Current projects focus on refining hardware and algorithms to maximize energy efficiency and processing capabilities in neuromorphic systems.

Natural Language Processing 91

Natural Language Processing Algorithm Computer Science Computer Science 91

Dataconomy

MARCH 3, 2025

They must grasp how decentralized applications integrate into this ecosystem while ensuring they craft algorithms that prioritize security and efficacy alongside maintaining node operationsall tailored towards accommodating specific scale parameters and performance goals within a given systems architecture.

Computer Science 91

Computer Science Computer Science Internet of Things Database 91

Dataconomy

APRIL 4, 2025

Understanding of AI, ML, and NLP A strong grasp of machine learning concepts, algorithms, and natural language processing is essential in this role. Skills and requirements for AI prompt engineers To succeed as an AI prompt engineer, individuals need a specific set of skills and knowledge bases.

AI 91

AI AI Natural Language Processing Machine Learning 91

AWS Machine Learning Blog

OCTOBER 23, 2024

Wittly uses advanced AI algorithms, overseen and enhanced by the expertise of human educators and engineers, to generate instructional recommendations. She is a technologist with a PhD in Computer Science, a master’s degree in Education Psychology, and years of experience in data science and independent consulting in AI/ML.

AI 90

AI AI AWS ML 90

Pickl AI

APRIL 21, 2025

Data Science, on the other hand, uses scientific methods and algorithms to analyses this data, extract insights, and inform decisions. Introduction In today’s hyper-connected world, you hear the terms “Big Data” and “Data Science” thrown around constantly.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

Flipboard

FEBRUARY 11, 2025

We often say garbage in, garbage out, but frequently forget that garbage in includes badly thought-out problem descriptions as well as poor data or incorrect algorithms. What do we want the computer to do? We shouldnt separate one from the other. We need to be reminded that software development isnt just about generating code.

AI 115

AI AI Python Computer Science 115

Hacker News

JULY 1, 2025

Sign In Sign Up Communications of the ACM About Us Frequently Asked Questions Contact Us Follow Us CACM on Twitter CACM on Reddit CACM on LinkedIn News Architecture and Hardware An Algorithm for a Better Bookshelf Managing the strategic positioning of empty spaces. Blelloch described it as “a very elegant result.”

Algorithm 112

Algorithm Computer Science Computer Science Artificial Intelligence 112

AWS Machine Learning Blog

DECEMBER 6, 2024

You can try these models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for running inference. About the authors Niithiyn Vijeaswaran is a Generative AI Specialist Solutions Architect with the Third-Party Model Science team at AWS.

AWS 105

AWS ML ML Python 105

Dataconomy

APRIL 21, 2025

Natural language processing (NLP) is a fascinating field at the intersection of computer science and linguistics, enabling machines to interpret and engage with human language. 1990s: The shift toward statistical methods enabled by computational advancements began. Delivering insightful analyses from varied textual sources.

Natural Language Processing 91

Natural Language Processing Deep Learning Deep Learning Computer Science 91