PyImageSearch

DECEMBER 23, 2024

This blog post delves into the intricacies of Approximate Nearest Neighbor (ANN) search using KD-Trees, exploring how this data structure can significantly speed up the search process while maintaining a balance between accuracy and computational efficiency. Or requires a degree in computer science? Thats not the case.

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Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

Deep Learning 52

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AWS Machine Learning Blog

DECEMBER 24, 2024

In this blog post, we showcase how you can perform efficient supervised fine tuning for a Meta Llama 3 model using PEFT on AWS Trainium with SageMaker HyperPod. Trainium chips are purpose-built for deep learning training of 100 billion and larger parameter models. Scheduler : SLURM is used as the job scheduler for the cluster.

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NYU Center for Data Science

AUGUST 11, 2023

This entree is a part of our Meet the Fellow blog series, which introduces and highlights Faculty Fellows who have recently joined CDS. Prior to his PhD work, Denny pursued his undergraduate degree in Computational Biology from Carnegie Mellon University, where he worked as an undergraduate research assistant advised by Ruslan Salakhutdinov.

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PyImageSearch

OCTOBER 14, 2024

This blog post is the 1st of a 3-part series on 3D Reconstruction: Photogrammetry Explained: From Multi-View Stereo to Structure from Motion (this blog post) 3D Reconstruction: Have NeRFs Removed the Need for Photogrammetry? The second blog post will introduce you to NeRFs , the neural network solution. Have you felt it?

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Deep Learning Deep Learning Algorithm Computer Science 118

ODSC - Open Data Science

APRIL 20, 2023

Deep Learning Approaches to Sentiment Analysis (with spaCy!) In this post, we’ll be demonstrating two deep learning approaches to sentiment analysis, specifically using spaCy. Is Machine Learning Necessary to Solve Problems in Biology? Deep Learning Approaches to Sentiment Analysis, Data Integrity, and Dolly 2.0

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

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.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

AWS Machine Learning Blog

APRIL 7, 2025

In this blog post, we walk you through how to deploy and prompt a Llama-4-Scout-17B-16E-Instruct model using SageMaker JumpStart. Efficiency and Productivity Gains**: - **Content Generation**: LLMs can automate the creation of various types of content, such as blog posts, reports, product descriptions, and social media updates.

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PyImageSearch

OCTOBER 28, 2024

In this blog post, you will learn about 3D Reconstruction. One day, I was looking for an email idea while writing my daily self-driving car newsletter , when I was suddenly caught by the news: Tesla had released a new FSD12 model based on End-to-End Learning. And that is the topic of this blog post #2 on NeRFs.

Deep Learning 106

Deep Learning Deep Learning Algorithm Computer Science 106

PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

Large-scale deep learning has recently produced revolutionary advances in a vast array of fields. is a startup dedicated to the mission of democratizing artificial intelligence technologies through algorithmic and software innovations that fundamentally change the economics of deep learning. Founded in 2021, ThirdAI Corp.

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Data Science Dojo

JULY 4, 2023

With a foundation in math, statistics, and programming, learning Generative AI requires dedication and patience as the technology evolves. Generative AI harnesses deep learning algorithms to generate human-like data in response to user input. We hope this Generative AI Roadmap blog is helpful.

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Flipboard

MARCH 27, 2023

This blog series aims to understand and test the capabilities of PyTorch 2.0 In this series, you will learn about Accelerating Deep Learning Models with PyTorch 2.0. This lesson is the 1st of a 2-part series on Accelerating Deep Learning Models with PyTorch 2.0 : What’s New in PyTorch 2.0?

Deep Learning 158

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NYU Center for Data Science

SEPTEMBER 11, 2024

This entry is part of our Meet the Research Scientist blog series, which introduces and highlights Research Scientists who have recently joined CDS. Meet CDS Senior Research Scientist Shirley Ho , a distinguished astrophysicist and machine learning expert who brings a wealth of experience and innovative research to our community.

Deep Learning 75

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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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DrivenData Labs

MAY 18, 2023

How did you get started in data science? I was first introduced to the field of AI during my BSc studies in Computer Science at the Athens University of Economics and Business.

Natural Language Processing 211

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

To address customer needs for high performance and scalability in deep learning, generative AI, and HPC workloads, we are happy to announce the general availability of Amazon Elastic Compute Cloud (Amazon EC2) P5e instances, powered by NVIDIA H200 Tensor Core GPUs. degree from the University of Science and a Ph.D.

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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 ). VAEs can generate new samples from the learned latent distribution, making them ideal for image generation and style transfer tasks.

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AWS Machine Learning Blog

OCTOBER 16, 2024

His expertise spans machine learning, data engineering, and scalable distributed systems, augmented by a strong background in software engineering and industry expertise in domains such as autonomous driving. Li Erran Li is the applied science manager at humain-in-the-loop services, AWS AI, Amazon. He is an ACM Fellow and IEEE Fellow.

ML 118

ML ML Clustering Machine Learning 118

Flipboard

SEPTEMBER 4, 2023

These images also support interfacing with the GPU, meaning you can leverage it for training your Deep Learning networks written in TensorFlow. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science?

Machine Learning 153

Machine Learning Machine Learning Deep Learning Deep Learning 153

Flipboard

OCTOBER 9, 2023

Getting Used to Docker for Machine Learning Introduction Docker is a powerful addition to any development environment, and this especially rings true for ML Engineers or enthusiasts who want to get started with experimentation without having to go through the hassle of setting up several drivers, packages, and more. Let’s get started!

Machine Learning 153

Machine Learning Machine Learning Deep Learning Deep Learning 153

PyImageSearch

FEBRUARY 20, 2023

Jump Right To The Downloads Section Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? Introduction As deep learning practitioners, it can be tough to keep up with all the new developments. Automatic Differentiation is at the very heart of Deep Learning.

Machine Learning 115

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PyImageSearch

OCTOBER 16, 2023

Setting Up Our Virtual Machine Allocation For this blog, we will use the Google Cloud Platform (GCP) to host a GPU-enabled Virtual Machine. 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 126

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DrivenData Labs

MAY 24, 2023

He is interested in researching human cognition and computational methods for modeling the brain. Nika Chuzhoy is a first-year undergraduate student at Caltech majoring in Computer Science. Her primary interests lie in theoretical machine learning. Dr. Martine De C**k is a Professor with expertise in machine learning.

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AWS Machine Learning Blog

SEPTEMBER 22, 2023

In this blog post, we ask annotators to rank model outputs based on specific parameters, such as helpfulness, truthfulness, and harmlessness. Reward models and reinforcement learning are applied iteratively with human-in-the-loop feedback. Erran Li is the applied science manager at humain-in-the-loop services, AWS AI, Amazon.

Machine Learning 131

Machine Learning Machine Learning AWS Computer Science 131

AWS Machine Learning Blog

OCTOBER 23, 2024

As an active contributor to the emerging fields of Generative AI and Edge AI, Asheesh shares his knowledge and insights through tech blogs and as a speaker at various industry conferences and forums. Dhawal Patel is a Principal Machine Learning Architect at AWS. He focuses on Deep learning including NLP and Computer Vision domains.

AI 89

AI AI AWS Database 89

AWS Machine Learning Blog

MARCH 21, 2025

million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Load data We use example research papers from arXiv to demonstrate the capability outlined here. samples/2003.10304/page_0.png'

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PyImageSearch

NOVEMBER 13, 2023

Home Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.

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PyImageSearch

MAY 8, 2023

Course information: 76 total classes • 90 hours of on-demand code walkthrough videos • Last updated: May 2023 ★★★★★ 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?

Machine Learning 112

Machine Learning Machine Learning Deep Learning Deep Learning 112

PyImageSearch

MARCH 3, 2025

This branch of mathematics is particularly important in the context of optimization algorithms, which are used to fine-tune machine learning models to achieve the best possible performance. In this blog post, we will focus on two critical concepts within vector calculus: partial derivatives and the Jacobian matrix. Thats not the case.

Machine Learning 61

Machine Learning Machine Learning Deep Learning Deep Learning 61

AWS Machine Learning Blog

SEPTEMBER 5, 2023

We then discuss how Amazon SageMaker helps us with feature engineering and building a scalable supervised deep learning model. He formulates analytics problems related to diagnostics and prognostics and provides direction for ML/deep learning-based analytics solutions and architecture. Kexin Ding is a fifth-year Ph.D.

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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. RJ is an engineer in Search M5 team leading the efforts for building large scale deep learning systems for training and inference.

AWS 96

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PyImageSearch

JUNE 26, 2023

In the first blog post of this series, we understood why and how DETR was born, its key features, and how it differs from previous models. In the previous blog post of this series, we looked at some methodologies used in DETR, specifically Set Prediction Loss. Or requires a degree in computer science? That’s not the case.

Deep Learning 99

Deep Learning Deep Learning Computer Science Computer Science 99

PyImageSearch

JULY 24, 2023

Going Beyond with Keras Core The Power of Keras Core: Expanding Your Deep Learning Horizons Show Me Some Code JAX Harnessing model.fit() Imports and Setup Data Pipeline Build a Custom Model Build the Image Classification Model Train the Model Evaluation Summary References Citation Information What Is Keras Core? What Is Keras Core?

Deep Learning 98

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AWS Machine Learning Blog

JUNE 27, 2024

in Computer Science from Stanford University, taught for three years as an assistant professor at NUST(Pakistan), and did a post-doc in fast data analytics systems at EPFL. His current research interests include natural language processing and multimodal learning, particularly using large language models and large multimodal models.

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PyImageSearch

JANUARY 16, 2023

In this blog post, we will thoroughly understand what Gradient Boosting is and understand the math behind this beautiful concept. In this tutorial, you will learn about Gradient Boosting, the final precursor to XGBoost. To refresh your memory, we recommend going through the first blog post of this series once again.

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Flipboard

NOVEMBER 27, 2023

We have learned in the previous blogs that it is impossible to do Causal Inference without having some form of intervention on the provided data. 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 91

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