Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Auto-generated tag-based LFs. Streamlined tagging workflows.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Auto-generated tag-based LFs. Streamlined tagging workflows.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Mlearning.ai

JUNE 28, 2023

This is the link [8] to the article about this Zero-Shot Classification NLP. BART stands for Bidirectional and Auto-Regression, and is used in processing human languages that is related to sentences and text. The approach was proposed by Yin et al. The technology that is used in this program is called BART.

Machine Learning 52

Machine Learning NLP Auto-classification Natural Language Processing 52

Pickl AI

JANUARY 23, 2023

This framework can perform classification, regression, etc., but performs very well with neural networks. Keras supports a high-level neural network API written in Python. Deep Python integration makes it possible to easily create neural network layers in Python using well-known modules and packages.

Machine Learning 52

Machine Learning ML Neural Network Auto-classification 52

ODSC - Open Data Science

APRIL 17, 2023

Finally, H2O AutoML has the ability to support a wide range of machine learning tasks such as regression, time-series forecasting, anomaly detection, and classification. Auto-ViML : Like PyCaret, Auto-ViML is an open-source machine learning library in Python. This makes Auto-ViML an ideal tool for beginners and experts alike.

Data Science 59

Data Science Auto-classification Machine Learning Data Scientist 59

AWS Machine Learning Blog

MAY 31, 2023

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. PyTorch supports dynamic computational graphs, enabling network behavior to be changed at runtime. One of the key available features is SageMaker real-time inference endpoints.

ML 82

ML Auto-classification Auto-complete Natural Language Processing 82

Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Google Research has been at the forefront of this effort, developing many innovations from privacy-safe recommendation systems to scalable solutions for large-scale ML. You can find other posts in the series here.)

Algorithm 110

Algorithm Neural Network Auto-classification ML 110

Mlearning.ai

MAY 23, 2023

Let us first understand the meaning of bias and variance in detail: Bias: It is a kind of error in a machine learning model when an ML Algorithm is oversimplified. It is introduced into an ML Model when an ML algorithm is made highly complex. Classification is very important in machine learning. Explain it’s working.

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

The MLOps Blog

APRIL 20, 2023

Learn more → Best MLOps Tools For Your Computer Vision Project Pipeline → Building MLOps Pipeline for Computer Vision: Image Classification Task [Tutorial] Fine-tuning Model fine-tuning and Transfer Learning have become essential techniques in my workflow when working with CV models. Libraries like imgaug , albumentations , and torchvision.

Computer Vision 65

Computer Vision Auto-classification Neural Network Convolutional Neural Networks 65

AWS Machine Learning Blog

MARCH 28, 2024

You can deploy this solution with just a few clicks using Amazon SageMaker JumpStart , a fully managed platform that offers state-of-the-art foundation models for various use cases such as content writing, code generation, question answering, copywriting, summarization, classification, and information retrieval.

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LLM Auto-complete Auto-classification Generative AI 111

Viso.ai

DECEMBER 3, 2023

Today, the most powerful image processing models are based on convolutional neural networks (CNNs). A popular library that uses neural networks for real-time human pose estimation in 3D, even for multi-person use cases, is named OpenPose. High-Resolution Net (HRNet) is a neural network for human pose estimation.

Deep Learning 98

Deep Learning Computer Vision Neural Network Robotics 98

The MLOps Blog

JUNE 27, 2023

Knowledge and skills in the organization Evaluate the level of expertise and experience of your ML team and choose a tool that matches their skill set and learning curve. Model monitoring and performance tracking : Platforms should include capabilities to monitor and track the performance of deployed ML models in real-time.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

Google Research AI blog

JANUARY 18, 2023

Language Models Computer Vision Multimodal Models Generative Models Responsible AI* Algorithms ML & Computer Systems Robotics Health General Science & Quantum Community Engagement * Other articles in the series will be linked as they are released. Top Computer Vision Computer vision continues to evolve and make rapid progress.

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

AWS Machine Learning Blog

JUNE 12, 2023

It can support a wide variety of use cases, including text classification, token classification, text generation, question and answering, entity extraction, summarization, sentiment analysis, and many more. GPT-J is an open-source 6-billion-parameter model released by Eleuther AI. 24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, 24xlarge.

Deep Learning 66

Deep Learning Auto-classification Computer Vision Large Language Models 66

Mlearning.ai

MAY 8, 2023

Artificial Neural Networks are an example of biological-inspired models. About this series In this series , we will learn how to code the must-to-know deep learning algorithms such as convolutions, backpropagation, activation functions, optimizers, deep neural networks, and so on using only plain and modern C++.

Deep Learning 52

Deep Learning Auto-classification Neural Network Machine Learning 52

Dlabs.ai

JANUARY 16, 2023

This article will walk you through how to process large medical images efficiently using Apache Beam — and we’ll use a specific example to explore the following: How to approach using huge images in ML/AI Different libraries for dealing with said images How to create efficient parallel processing pipelines Ready for some serious knowledge-sharing?

Neural Network 52

Neural Network ML Auto-classification Convolutional Neural Networks 52

AWS Machine Learning Blog

JANUARY 31, 2024

In the first part of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. The following screenshot illustrates the architecture of our Convolutional Neural Network (CNN) model.

Computer Vision 89

Computer Vision Auto-complete Deep Learning Auto-classification 89

Flipboard

APRIL 13, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses.

Generative AI 182

Generative AI ML AI AI 182

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business needs. Neural network torch: A neural network model that’s implemented using Pytorch. Otherwise, it chooses ensemble mode.

Machine Learning 88

Machine Learning Neural Network Algorithm Auto-classification 88

AWS Machine Learning Blog

AUGUST 8, 2023

These complex models often require hardware acceleration because it enables not only faster training but also faster inference when using deep neural networks in real-time applications. GPUs’ large number of parallel processing cores makes them well-suited for these DL tasks.

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BERT Deep Learning Auto-classification ML 78