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. Six Core Competencies Data Scientists Need to Succeed in Their Careers Data scientists need to know more than just algorithms to succeed.

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ODSC - Open Data Science

APRIL 19, 2023

Deep learning continues to be a hot topic as increased demands for AI-driven applications, availability of data, and the need for increased explainability are pushing forward. So let’s take a quick dive and see some big sessions about deep learning coming up at ODSC East May 9th-11th.

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PyImageSearch

JUNE 12, 2023

Home Table of Contents DETR Breakdown Part 2: Methodologies and Algorithms The DETR Model ?️ Summary Citation Information DETR Breakdown Part 2: Methodologies and Algorithms In this tutorial, we’ll learn about the methodologies applied in DETR. 2020) propose the following algorithm. This is shown in the demo below.

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Applied Data Science

DECEMBER 23, 2022

Linking to demos so that you can also review them yourself Have you been finding the leaps of AI in the last past years impressive? Biology We provide links to all currently available demos: many of this year’s inventions come with a demo that allows you to personally interact with a model. Text-to-Image generation ?

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DataRobot Blog

AUGUST 3, 2022

The turbocharged language detection feature now uses a deep learning algorithm to identify the language of text even more precisely. For more information, visit DataRobot documentation and schedule a demo. Request a demo. Explore Our Text AI Upgrades.

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Hacker News

SEPTEMBER 4, 2023

Traditional compression algorithms have been centered on reducing redundancies in data sequences –be it in images, videos, or audio– with a high reduction in file size at the cost of some loss of information from the original. Open source code and model weights (as well as a demo page ) are available.

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ODSC - Open Data Science

MARCH 3, 2023

Recently, we spoke with Pedro Domingos, Professor of computer science at the University of Washington, AI researcher, and author of “The Master Algorithm” book. In the interview, we talked about the quest for the “ultimate machine learning algorithm.” It learns from text, images, and robot actions, and then it learns what to do.

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Dataconomy

NOVEMBER 27, 2023

This platform promises to revolutionize how businesses identify and capitalize on lucrative market opportunities by leveraging state-of-the-art deep learning algorithms. This deep insight enables businesses to refine their own strategies and offerings, fostering continuous improvement and a competitive edge.

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Flipboard

NOVEMBER 30, 2023

For example: input = "How is the demo going?" Refer to demo-model-builder-huggingface-llama2.ipynb By extending a pre-built image, you can use the included deep learning libraries and settings without having to create an image from scratch. output = "Comment la démo va-t-elle?" ipynb to deploy a Hugging Face Hub model.

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DataRobot

DECEMBER 20, 2021

Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. it’s possible to build a robust image recognition algorithm with high accuracy. We embedded best practices and various deep learning models to support image data. Interested to learn more?

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Flipboard

FEBRUARY 7, 2023

Although you can easily carry out smaller experiments and demos with the sample notebooks presented in this post on Studio Lab for free, it is recommended to use Amazon SageMaker Studio when you train your own medical image models at scale.

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ODSC - Open Data Science

MARCH 13, 2023

In the second of two articles recapping this survey, we now want to discuss additional findings, such as related skills in machine learning and challenges with implementation. Which of these related skills in machine learning are important to you? Machine learning practitioners tend to do more than just create algorithms all day.

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AWS Machine Learning Blog

MARCH 20, 2023

In the context of deep learning, the predominant numerical format used for research and deployment has so far been 32-bit floating point, or FP32. However, the need for reduced bandwidth and compute requirements of deep learning models has driven research into using lower-precision numerical formats. 2xLarge-INT8 35.7

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Towards AI

JULY 21, 2023

To further comment on Fury, for those looking to intern in the short term, we have a position available to work in an NLP deep learning project in the healthcare domain. A toolkit that allows the developer to dig deep into language models, in addition to dataset visualization. old mermaid money found on the Titanic ?

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AWS Machine Learning Blog

FEBRUARY 19, 2024

DJL Serving is built on top of DJL , a deep learning library written in the Java programming language. It can take a deep learning model, several models, or workflows and make them available through an HTTP endpoint. example in this demo can be seen in the GitHub repo. The full model.py We create a model.tar.gz

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ODSC - Open Data Science

FEBRUARY 28, 2023

We couldn’t be more excited to announce our first group of partners for ODSC East 2023’s AI Expo and Demo Hall. Improving Operations and Infrastructure Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

This feature is particularly beneficial for deep learning and generative AI models that require accelerated compute. We utilized three deep learning foundation models: SAM, SD 2 Inpainting, and LaMa. To get started, see Supported algorithms, frameworks, and instances for multi-model endpoints using GPU backed instances.

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AWS Machine Learning Blog

OCTOBER 23, 2024

The following demo shows Agent Creator in action. 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.

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Towards AI

OCTOBER 24, 2023

The fascinating demo shared by the company illustrates the agent’s ability to train a robotic hand to perform the rapid pen-spinning trick and a human. As mentioned by one of the authors in a blog post, this library utilizes generative AI and reinforcement learning to solve complex tasks. It achieves GPU-like performance […]

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AWS Machine Learning Blog

DECEMBER 14, 2023

For the demo, we use simulated bank statements like the following example. The tool uses the fuzzy matching algorithm to generate pre-annotations by comparing text similarity. In the demo, the pre-manifest file shows the following code: [ { 'pdf': 's3:// /data_aws_idp_workshop_data/bank_stmt_0.pdf',

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Mlearning.ai

FEBRUARY 9, 2023

AI tools, such as ChatGPT and DALL-E, are developed with deep learning techniques. Deep learning is a subfield of AI that aims to extract knowledge from data through complex neural networks. Performing deep learning projects is difficult. Building a deep learning model takes both money and time.

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IBM Journey to AI blog

JULY 11, 2023

Better machine learning (ML) algorithms, more access to data, cheaper hardware and the availability of 5G have contributed to the increasing application of AI in the healthcare industry, accelerating the pace of change. Also, that algorithm can be replicated at no cost except for hardware.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

As attendees circulate through the GAIZ, subject matter experts and Generative AI Innovation Center strategists will be on-hand to share insights, answer questions, present customer stories from an extensive catalog of reference demos, and provide personalized guidance for moving generative AI applications into production.

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AWS Machine Learning Blog

JANUARY 31, 2024

This technique is achieved through the use of ML algorithms that enable the understanding of the meaning and context of data (semantic relationships) and the learning of complex relationships and patterns within the data (syntactic relationships).

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AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets. Customers often need to train a model with data from different regions, organizations, or AWS accounts.

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DataRobot Blog

JULY 27, 2022

In this technical post, we’ll focus on some changes we’ve made to allow custom models to operate as an algorithm on Algorithmia, while still feeding predictions, input, and other metrics back to the DataRobot MLOps platform —a true best of both worlds. The Demo: Autoscaling with MLOps. Autoscaling Deployments with Trust.

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AWS Machine Learning Blog

JANUARY 25, 2023

Stable Diffusion uses an AI algorithm to upscale images, eliminating the need for manual work that may require manually filling gaps in an image. Additionally, unlike non-deep-learning techniques such as nearest neighbor, Stable Diffusion takes into account the context of the image, using a textual prompt to guide the upscaling process.

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The MLOps Blog

MAY 10, 2023

When working on real-world machine learning (ML) use cases, finding the best algorithm/model is not the end of your responsibilities. In this section, you will see different ways of saving machine learning (ML) as well as deep learning (DL) models. Now let’s see how we can save our model.

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Mlearning.ai

MARCH 10, 2023

Examples for common Haar-Features The Haar Cascade algorithm is trained on a large dataset of positive and negative images of the object being detected. During training, the algorithm learns the features that distinguish the object from the background, such as edges, lines, and corners.

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AWS Machine Learning Blog

MAY 2, 2023

If the in-memory FAISS doesn’t fit into your large dataset, we provide you with a SageMaker KNN algorithm to perform the semantic search, which also uses FAISS as the underlying searching algorithm. In this demo, we use a Jumpstart Flan T5 XXL model endpoint. The underlying algorithm used to index the data is FAISS.

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DagsHub

FEBRUARY 8, 2024

The advancements in deep learning have resulted in exceptional precision rates for object detection. 2) Deep learning algorithms with two stages, including examples such as various R-CNN models faster object separation from the background with faster speeds and higher accuracy. Sercan Çayır et al.

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Heartbeat

JULY 24, 2023

This article will cover briefly the architecture of the deep learning model used for the purpose. This algorithm also does tissue chopping to remove computational complexities. Code and Demo The GitHub repository for implementing the above steps is available here. The following is the demo output in my case.

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ODSC - Open Data Science

MARCH 2, 2023

Coding/Programming This will likely be the section that needs the least explanation, but we will dive deep anyways! Without the ability to utilize data, create models, visualizations, algorithms, or anything else, you’re left without a story. One of the superpowers of data science is the ability to create predictive models.

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ODSC - Open Data Science

APRIL 21, 2023

With this combination of product-demo suite and AI generation, Walnut allows business representatives to script demo pitches in seconds, and answer questions about a product. By using a mixture of AI and deep learning algorithms, OpenAI is building up a repository of medical images.

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ODSC - Open Data Science

MAY 21, 2024

At ODSC Europe 2024, you’ll find an unprecedented breadth and depth of content, with hands-on training sessions on the latest advances in Generative AI, LLMs, RAGs, Prompt Engineering, Machine Learning, Deep Learning, MLOps, Data Engineering, and much, much more.

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AWS Machine Learning Blog

OCTOBER 17, 2023

The Amazon Personalize Search Ranking plugin within OpenSearch Service allows you to improve the end-user engagement and conversion from your website and app search by taking advantage of the deep learning capabilities offered by Amazon Personalize. This feature is also available with self-managed OpenSearch.

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Dataconomy

JULY 12, 2023

These advanced applications utilize facial recognition and complex algorithms to predict how a particular haircut will suit your face, hair texture, and personal style. Hairstyle Changer Hairstyle Changer emerges as a game-changing AI tool with its advanced deep learning algorithms.

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