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 77

Data Science Computer Science Computer Science Supervised Learning 77

IBM Journey to AI blog

DECEMBER 20, 2023

What is machine learning? 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. Here, we’ll discuss the five major types and their applications.

Machine Learning 97

Machine Learning Machine Learning Supervised Learning Clustering 97

AWS Machine Learning Blog

JUNE 7, 2023

Libraries such as DeepSpeed (an open-source deep learning optimization library for PyTorch) address some of these challenges, and can help accelerate model development and training. Training setup We provisioned a managed compute cluster comprised of 16 dl1.24xlarge instances using AWS Batch. Pre-training of a 1.5-billion-parameter

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AWS Machine Learning Blog

JUNE 11, 2024

release , you can now launch Neuron DLAMIs (AWS Deep Learning AMIs) and Neuron DLCs (AWS Deep Learning Containers) with the latest released Neuron packages on the same day as the Neuron SDK release. AWS DLCs provide a set of Docker images that are pre-installed with deep learning frameworks.

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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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Becoming Human

MARCH 16, 2023

Photo by NASA on Unsplash Hello and welcome to this post, in which I will study a relatively new field in deep learning involving graphs — a very important and widely used data structure. This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications.

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Clustering Computer Science Computer Science Deep Learning 87

Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. TensorFlow and Keras: TensorFlow is an open-source platform for machine learning.

Artificial Intelligence 52

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AWS Machine Learning Blog

JUNE 25, 2024

This integration can help you better understand the traffic impact on your distributed deep learning algorithms. Set up the CloudWatch Observability EKS add-on Refer to Install the Amazon CloudWatch Observability EKS add-on for instructions to create the amazon-cloudwatch-observability add-on in your EKS cluster.

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AWS Machine Learning Blog

OCTOBER 16, 2024

Although setting up a processing cluster is an alternative, it introduces its own set of complexities, from data distribution to infrastructure management. We use the purpose-built geospatial container with SageMaker Processing jobs for a simplified, managed experience to create and run a cluster. format("/".join(tile_prefix),

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

Apart from the ability to easily provision compute, there are other factors such as cluster resiliency, cluster management (CRUD operations), and developer experience, which can impact LLM training. It provides resilient and persistent clusters for large-scale deep learning training of FMs on long-running compute clusters.

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Clustering AWS ML ML 92

AWS Machine Learning Blog

MAY 1, 2024

AWS Trainium instances for training workloads SageMaker ml.trn1 and ml.trn1n instances, powered by Trainium accelerators, are purpose-built for high-performance deep learning training and offer up to 50% cost-to-train savings over comparable training optimized Amazon Elastic Compute Cloud (Amazon EC2) instances.

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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

Towards AI

APRIL 4, 2024

Machine learning (ML) has proven that it is here with us for the long haul, everyone who had their doubts by calling it a phase should by now realize how wrong they are, ML has being used in various sector’s of society such as medicine, geospatial data, finance, statistics and robotics.

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K-nearest Neighbors Machine Learning Machine Learning Decision Trees 69

Flipboard

JULY 10, 2023

Figure 5: Architecture of Convolutional Autoencoder for Image Segmentation (source: Bandyopadhyay, “Autoencoders in Deep Learning: Tutorial & Use Cases [2023],” V7Labs , 2023 ). This can be helpful for visualization, data compression, and speeding up other machine learning algorithms. Join me in computer vision mastery.

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Deep Learning Deep Learning Machine Learning Machine Learning 132

PyImageSearch

JUNE 19, 2023

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. Several clustering algorithms (e.g.,

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K-nearest Neighbors Clustering Algorithm Deep Learning 56

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?

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Python Deep Learning Deep Learning AWS 98

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. Check out all of our types of passes here.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

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?

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Algorithm Deep Learning Deep Learning Data Preparation 81

PyImageSearch

JANUARY 9, 2023

To learn how to develop Face Recognition applications using Siamese Networks, just keep reading. Jump Right To The Downloads Section Face Recognition with Siamese Networks, Keras, and TensorFlow Deep learning models tend to develop a bias toward the data distribution on which they have been trained. That’s not the case.

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Deep Learning Deep Learning Database Algorithm 96

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

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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.

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AI AI Machine Learning Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Learning means identifying and capturing historical patterns from the data, and inference means mapping a current value to the historical pattern. The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference.

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Pickl AI

JULY 25, 2023

Model Development Data Scientists develop sophisticated machine-learning models to derive valuable insights and predictions from the data. These models may include regression, classification, clustering, and more. Machine Learning: Supervised and unsupervised learning techniques, deep learning, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Flipboard

AUGUST 17, 2023

Here we use RedshiftDatasetDefinition to retrieve the dataset from the Redshift cluster. In the processing job API, provide this path to the parameter of submit_jars to the node of the Spark cluster that the processing job creates. We attached the IAM role to the Redshift cluster that we created earlier.

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PyImageSearch

NOVEMBER 18, 2024

Course information: 86 total classes • 115+ hours of on-demand code walkthrough videos • Last updated: October 2024 ★★★★★ 4.84 (128 Ratings) • 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning. Or requires a degree in computer science?

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Deep Learning Deep Learning Data Visualization Machine Learning 83

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered.

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Pickl AI

SEPTEMBER 23, 2024

Understanding Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines principles from statistics, mathematics, computer science, and domain-specific knowledge to analyse and interpret complex data.

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PyImageSearch

APRIL 3, 2023

Jump Right To The Downloads Section Deploying a Custom Image Classifier on an OAK-D Introduction As a deep learning engineer or practitioner, you may be working in a team building a product that requires you to train deep learning models on a specific data modality (e.g., computer vision) on a daily basis.

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Deep Learning Deep Learning AI AI 64

Pickl AI

MAY 29, 2024

By the end of this blog, you will feel empowered to explore the exciting world of Data Science and achieve your career goals. It involves using various techniques, such as data mining, Machine Learning, and predictive analytics, to solve complex problems and drive business decisions.

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Data Scientist Data Science Machine Learning Machine Learning 52

PyImageSearch

JULY 3, 2023

These features can be simple metadata or model-based features (extracted from a deep learning model), representing how good that video is for a member. Users are grouped into small clusters based on their viewing history to obtain context-only features. Or requires a degree in computer science? That’s not the case.

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Deep Learning Deep Learning Algorithm Machine Learning 52

Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. Develop AI models using machine learning or deep learning algorithms. Machine learning and deep learning algorithms are commonly used in AI development.

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Mlearning.ai

MAY 23, 2023

Machine learning has become a transformative technology across various fields, revolutionizing complex problem-solving. With the advancement of technology, machine learning, and computer vision techniques can be used to develop automated solutions for leaf disease detection. Working Video of our App [link] 20.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

AWS Machine Learning Blog

OCTOBER 30, 2024

Sentence transformers are powerful deep learning models that convert sentences into high-quality, fixed-length embeddings, capturing their semantic meaning. These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval.

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Machine Learning Machine Learning AWS Data Scientist 87

PyImageSearch

OCTOBER 2, 2023

Jump Right To The Downloads Section A Deep Dive into Variational Autoencoder with PyTorch Introduction Deep learning has achieved remarkable success in supervised tasks, especially in image recognition. Similar class labels tend to form clusters, as observed with the Convolutional Autoencoder. That’s not the case.

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Deep Learning Deep Learning Clustering Computer Science 115

Google Research AI blog

FEBRUARY 28, 2023

For example, supporting equitable student persistence in computing research through our Computer Science Research Mentorship Program , where Googlers have mentored over one thousand students since 2018 — 86% of whom identify as part of a historically marginalized group.

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Pickl AI

SEPTEMBER 12, 2024

Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. Association Rule Learning: A rule-based Machine Learning method to discover interesting relationships between variables in large databases.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 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? We pay our contributors, and we don’t sell ads.

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