Flipboard

DECEMBER 26, 2023

Wes Ramage was born with a condition called optic nerve hypoplasia, an underdevelopment of the clusters of cells that relay signals from the retina to the brain. He can see objects, but no details. His family moved around a lot throughout Southern Ontario. As a kid with extremely limited vision, he …

Clustering 160

Clustering AI AI Computer Science 160

Flipboard

AUGUST 31, 2023

Tesla has revealed its investment into a massive compute cluster comprising 10,000 Nvidia H100 GPUs specifically designed to power AI workloads.

Clustering 151

Clustering AI AI Computer Science 151

Flipboard

JUNE 5, 2023

One resembles the kind of pickup soccer game, usually with very young kids or drunk adults, where every player clusters in a … Here's why. There are, roughly speaking, two Silicon Valleys.

Clustering 123

Clustering AI AI Computer Science 123

Flipboard

JANUARY 5, 2024

Furthermore, we utilized unsupervised machine learning (UML) techniques to cluster THA patients who required BT based on similar clinical features. The resulting clusters were subsequently visualized and validated. Employing UML, we identified two distinct clusters with significantly heterogeneous clinical characteristics.

Clustering 67

Clustering Machine Learning Machine Learning Algorithm 67

Flipboard

JULY 10, 2023

Over time, many enterprises have built an on-premises cluster of servers, accumulating data, and then procuring more servers and storage. They often …

Clustering 77

Clustering ML ML AI 77

AWS Machine Learning Blog

APRIL 29, 2024

With Trainium available in AWS Regions worldwide, developers don’t have to take expensive, long-term compute reservations just to get access to clusters of GPUs to build their models. In this part, we used the AWS pcluster command to run a.yaml file to generate the cluster. 32xlarge instance featuring 32 GB of VRAM.

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AWS Clustering ML ML 93

Data Science Dojo

AUGUST 11, 2023

Machine learning is a field of computer science that uses statistical techniques to build models from data. Unsupervised learning models, like clustering and dimensionality reduction, aid in uncovering hidden structures within data. There are many different types of models that can be used in data science.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

ODSC - Open Data Science

JUNE 7, 2023

Gözde Gül Şahin | Assistant Professor, KUIS AI Fellow | KOC University Fraud Detection with Machine Learning: Laura Mitchell | Senior Data Science Manager | MoonPay Deep Learning and Comparisons between Large Language Models: Hossam Amer, PhD | Applied Scientist | Microsoft Multimodal Video Representations and Their Extension to Visual Language Navigation: (..)

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

ODSC - Open Data Science

OCTOBER 18, 2023

The process begins with a careful observation of customer data and an assessment of whether there are naturally formed clusters in the data. It continues with the selection of a clustering algorithm and the fine-tuning of a model to create clusters.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

Women in Big Data

DECEMBER 13, 2023

Dr Sonal Khosla (Speaker) holds a PhD in Computer Science with a specialization in Natural Language Processing from Symbiosis International University, India with publications in peer reviewed Indexed journals. Computational Linguistics is rule based modeling of natural languages.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52

ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Towards AI

MAY 1, 2024

R and Machine Learning The field of computer science known as “machine learning” focuses on creating algorithms with learning capabilities. Concept learning, function learning, sometimes known as “predictive modeling,” clustering, and the identification of predictive patterns are typical machine learning tasks.

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K-nearest Neighbors Machine Learning Machine Learning Decision Trees 60

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.

Clustering 52

Clustering Decision Trees Machine Learning Machine 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

Clustering 52

Clustering Algorithm Computer Science Computer Science 52

Pickl AI

JULY 25, 2023

These models may include regression, classification, clustering, and more. in fields like Computer Science, Statistics, or related disciplines. On the other hand, Data Engineers often have a background in Computer Science, Software Engineering, or a related field, but a Bachelor’s degree may suffice in some cases.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Data Science Dojo

SEPTEMBER 19, 2023

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. Information theory is used in many different areas of communication, computer science, and statistics. Learn about Top Machine Learning Algorithms for Data Science 11.

Computer Science 195

Computer Science Computer Science Data Science Algorithm 195

ODSC - Open Data Science

APRIL 13, 2023

Botnets Detection at Scale — Lessons Learned From Clustering Billions of Web Attacks Into Botnets Read more to learn about the data flow, the challenges, and the way we get successful results of botnet detection. Here’s how.

ML 52

ML ML Data Science Machine Learning 52

Mlearning.ai

MAY 23, 2023

Here are a few courses you can check out — AI for Medicine Specialization Natural Language Processing Specialization Generative Adversarial Networks (GANs) Specialization Educational Background A Bachelor’s degree in a quantitative field like computer science, mathematics, statistics, or engineering is often the minimum requirement.

Data Science 52

Data Science Data Scientist Apache Hadoop Machine Learning 52

Dataconomy

JULY 24, 2023

To put it another way, a data scientist turns raw data into meaningful information using various techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. Machine learning Machine learning is a key part of data science.

Data Scientist 172

Data Scientist Data Analyst Data Science Machine Learning 172

Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Algorithm 52

ODSC - Open Data Science

APRIL 25, 2023

Graph visualization finds applications in various fields, such as computer science, social network analysis, biology, and business. Node sizes indicate the degree of collaboration, while node colors represent clusters of authors based on their collaborative patterns.

Data Science 52

Data Science AI AI Algorithm 52

Snorkel AI

JANUARY 26, 2023

I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning. Below follows a transcript of their conversation, lightly edited for readability. Mayee Chen: Okay. Hi everyone.

K-nearest Neighbors 52

K-nearest Neighbors Clustering AI AI 52

Snorkel AI

JANUARY 26, 2023

I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning. Below follows a transcript of their conversation, lightly edited for readability. Mayee Chen: Okay. Hi everyone.

K-nearest Neighbors 52

K-nearest Neighbors Clustering AI AI 52

Pickl AI

JULY 18, 2023

Here are the key steps to embark on the path towards becoming an AI Architect: Acquire a Strong Foundation Start by building a solid foundation in computer science, mathematics, and statistics. Explore topics such as regression, classification, clustering, neural networks, and natural language processing.

AI 52

AI AI Machine Learning Machine Learning 52

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

Data Science Dojo

AUGUST 18, 2023

They are typically trained on clusters of computers or even on cloud computing platforms. Natural Language Processing (NLP) Natural Language Processing (NLP) is a field of computer science that deals with the interaction between computers and human (natural) languages. LLMs are a powerful tool for NLP.

Natural Language Processing 195

Natural Language Processing Database AI AI 195

NYU Center for Data Science

NOVEMBER 15, 2023

Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, *Omar Mahmood (PhD alumnus), Andrew Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi “A Logic for Expressing Log-Precision Transformers” : *William Merrill (PhD student), Ashish Sabharwal “A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks” : Vignesh Kothapalli, Tom (..)

Data Science 80

Data Science Computer Science Computer Science Supervised Learning 80

NYU Center for Data Science

JANUARY 25, 2024

Andrew Wilson (Associate Professor of Computer Science and Data Science) “ A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning ” by Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C.

Computer Science 72

Computer Science Computer Science Data Science Supervised Learning 72

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 AI AI Machine Learning 52

IBM Journey to AI blog

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. It identifies a previously overlooked correlation between the distribution of dark matter and the formation of star clusters.

AI 90

AI AI Computer Science Computer Science 90

IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. K-means clustering is commonly used for market segmentation, document clustering, image segmentation and image compression.

Machine Learning 82

Machine Learning Machine Learning Supervised Learning Clustering 82

Mlearning.ai

APRIL 24, 2023

Learning about the framework of a service cloud platform is time consuming and frustrating because there is a lot of new information from many different computing fields (computer science/database, software engineering/developers, data science/scientific engineering & computing/research).

Azure 52

Azure SQL Database Python 52

Heartbeat

AUGUST 23, 2023

NLP is fundamentally an interdisciplinary field that blends linguistics, computer science, and artificial intelligence to provide robots with the capacity to comprehend and analyze human language. But exactly what is NLP , and how can it facilitate legal discovery?

Natural Language Processing 52

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 52

Becoming Human

MARCH 16, 2023

Graph visualization: Information visualization is a branch of mathematics and computer science that exists at the intersection of geometric graph theory and computer science. Graph clustering: The visualization of data in the form of graphs is referred to as clustering. How do Graph Neural Networks work?

Clustering 87

Clustering Computer Science Computer Science Deep Learning 87

Dataconomy

MARCH 13, 2023

Scikit-learn:  Scikit-learn is an open-source library that provides a range of tools for building and training machine learning models, including classification, regression, and clustering. Model selection Model selection involves choosing the right algorithm, architecture, and hyperparameters for the AI model.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

phData

MARCH 6, 2023

Delving further into KNIME Analytics Platform’s Node Repository reveals a treasure trove of data science-focused nodes, from linear regression to k-means clustering to ARIMA modeling—and quite a bit in between. The great thing about building a predictive model in KNIME is its simplicity.

Decision Trees 52

Decision Trees Analytics Analytics Data Science 52

ODSC - Open Data Science

APRIL 21, 2023

By translating responses to high-dimensional vector embeddings, clustering algorithms can group the data into discrete sets of documents that share a semantic similarity. LLMs are trained on much larger datasets, which allows them to contain richer information about how words are typically used together.

AI 52

AI AI Azure Algorithm 52