AWS Machine Learning Blog

NOVEMBER 26, 2024

By harnessing the power of threat intelligence, machine learning (ML), and artificial intelligence (AI), Sophos delivers a comprehensive range of advanced products and services. The Sophos Artificial Intelligence (AI) group (SophosAI) oversees the development and maintenance of Sophos’s major ML security technology.

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ODSC - Open Data Science

SEPTEMBER 21, 2023

Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. Some typical examples are given in the following table, along with some discussion as to whether or not ML would be an appropriate tool for solving the problem: Figure 1.1:

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Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first OEM contract with the database company Hyperion—that’s when I was hired. Release v1.0

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AWS Machine Learning Blog

APRIL 3, 2023

Causal inference Causality is all about understanding change, but how to formalize this in statistics and machine learning (ML) is not a trivial exercise. The database was calibrated and validated using data from more than 400 trials in the region. Note that this solution is currently available in the US West (Oregon) Region only.

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Iguazio

SEPTEMBER 20, 2023

Data is provided in a CSV file and SQLite database. WordNet A database of English nouns, verbs, adjectives and adverbs grouped into synonyms that depict concepts. 20 Newsgroups A dataset containing roughly 20,000 newsgroup documents spanning a variety of topics, for text classification, text clustering and similar ML applications.

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AWS Machine Learning Blog

JANUARY 13, 2023

It involves training a global machine learning (ML) model from distributed health data held locally at different sites. This dataset comprises a multi-center critical care database collected from over 200 hospitals, which makes it ideal to test our FL experiments. HCLS use case. To implement this, the data loader in the data_loader.py

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AWS Machine Learning Blog

MARCH 14, 2024

The longest drive hit by Tony Finau in the Shriners Childrens Open was 382 yards, which he hit during the first round on hole number 4 in 2018. With thoughtful design and testing, virtually any organization can benefit from an AI system that contextualizes their structured databases, documents, images, videos, and other content.

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AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. For example, when cataloging financial reports in a document database, extracting and storing the title as a catalog index enables easy retrieval.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). ML is often associated with PBAs, so we start this post with an illustrative figure. The ML paradigm is learning followed by inference. The union of advances in hardware and ML has led us to the current day.

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Towards AI

JULY 19, 2023

The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. But first… a word from our sponsors: [link] If you enjoy the read, help us out by giving it a ?? and share with friends! The company is Neural Magic.

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AWS Machine Learning Blog

MAY 2, 2023

JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19).

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Mlearning.ai

JANUARY 26, 2023

2018, July). In IGARSS 2018–2018 IEEE International Geoscience and Remote Sensing Symposium (pp. In the EU, database copyright only covers the structure of the database and not the contents, but the contents may have sui generis rights, though that is not clear and possibly varies with the method used to collect the data.

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Mlearning.ai

MARCH 15, 2023

Emergence Google coined the term federated learning (FL) during the Cambridge Analytical scandal of 2018. The ML model is then used by the user through an API by sending a request to access a specific feature. The aggregated updates are used to create an improved central ML model.

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O'Reilly Media

APRIL 5, 2023

Worse yet, the AI’s bias would likely find its way into the system’s database and follow the students from one class to the next. In 2018, Reuters reported that Amazon had scrapped an AI recruiting tool that had developed a bias against female applicants.

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AWS Machine Learning Blog

OCTOBER 2, 2024

Complete the following steps when integrating a knowledge base with Amazon Bedrock : Index your documents into a vector database using Amazon Bedrock Knowledge Bases. Mark’s work covers a wide range of use cases, with a primary interest in generative AI, agents, and scaling ML across the enterprise.

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O'Reilly Media

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more. 85% might be a reasonable estimate.

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Mlearning.ai

JANUARY 17, 2024

The foundations for today’s generative language applications were elaborated in the 1990s ( Hochreiter , Schmidhuber ), and the whole field took off around 2018 ( Radford , Devlin , et al.). Complex ML problems can only be solved in neural networks with many layers. It just generates (in ML lingo „predicts“) the next token.

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Google Research AI blog

FEBRUARY 28, 2023

Adherence to such public health programs is a prevalent challenge, so researchers from Google Research and the Indian Institute of Technology, Madras worked with ARMMAN to design an ML system that alerts healthcare providers about participants at risk of dropping out of the health information program. certainty when used correctly.

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AWS Machine Learning Blog

MAY 22, 2023

EBS volumes are particularly well-suited for use as the primary storage for file systems, databases, or for any applications that require fine granular updates and access to raw, unformatted, block-level storage. These include research on foundation models, as well as ML applications for graphs and time series.

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Mlearning.ai

JUNE 16, 2023

ML practitioners, believing they had to match the sheer size of ImageNet, refrained from pre-training with much smaller available medical image datasets, let alone developing new ones. November 21, 2018. ImageNet: A Large-Scale Hierarchical Image Database.” October 5, 2013. link] [3] He, Kaiming, Ross Girshick, and Piotr Dollár.

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Towards AI

JULY 21, 2023

The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. But first… a word from our sponsors: If you enjoy the read, help us out by giving it a ?? and share with friends! The company is Neural Magic.

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Mlearning.ai

JUNE 8, 2023

Like traditional database index, vector index organizes the vectors into a data structure and makes it possible to navigate through the vectors and find the ones that are closest in terms of semantic similarity. OpenAI’s Embedding Model With Vector Database OpenAI updated in December 2022 the Embedding model to text-embedding-ada-002.

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Explosion

MAY 17, 2023

So you do have to work around things, and use things like vector databases or other tricks. Transformers makes it easy to use a wide variety of models from recent research, and it’s closer to the underlying ML library (PyTorch). But fundamentally the LLM maximalist position is that you want to trust the LLM to solve the problem.

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Heartbeat

DECEMBER 8, 2023

Here are a few reasons why an agent needs tools: Access to external resources: Tools allow an agent to access and retrieve information from external sources, such as databases, APIs, or web scraping. Combining an agent’s decision-making abilities with the functionality provided by tools allows it to perform a wide range of tasks effectively.

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ML Review

MAY 3, 2018

Available: [link] (accessed: 20/02/2018). Available: arXiv:1711.08789v2 Multi-Modal Methods: Visual Speech Recognition (Lip Reading) was originally published in ML Review on Medium, where people are continuing the conversation by highlighting and responding to this story. 40] Chung et al. Available: [link] ^ Hashimoto et al.

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PyImageSearch

JANUARY 2, 2023

Health startups and tech companies aiming to integrate AI technologies account for a large proportion of AI-specific investments, accounting for up to $2 billion in 2018 ( Figure 1 ). For example, the Institute of Cancer Research cancer database combines genetic and clinical data from patients with information from scientific research.

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The MLOps Blog

JULY 18, 2023

This article was originally an episode of the MLOps Live , an interactive Q&A session where ML practitioners answer questions from other ML practitioners. Every episode is focused on one specific ML topic, and during this one, we talked to Jason Falks about deploying conversational AI products to production.

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DrivenData Labs

SEPTEMBER 10, 2024

Many teams combined technical skills in AI/ML with domain knowledge in neuroscience, aging, or healthcare. The dataset includes time-stamped diagnostic and procedural codes for 21,374 patients from a national database, as well as 187 African-American patients from the University of Chicago Medical Center.

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AWS Machine Learning Blog

MARCH 30, 2023

Not only was he widely considered the top-rated goalkeeper in the league during the 2021/22 season, but he also held that title back in 2018/19 when Eintracht Frankfurt reached the Europa League semifinals. The result is a machine learning (ML)-powered insight that allows fans to easily evaluate and compare the goalkeepers’ proficiencies.

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AWS Machine Learning Blog

NOVEMBER 18, 2024

Large language models (LLMs) can help uncover insights from structured data such as a relational database management system (RDBMS) by generating complex SQL queries from natural language questions, making data analysis accessible to users of all skill levels and empowering organizations to make data-driven decisions faster than ever before.

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AWS Machine Learning Blog

OCTOBER 21, 2024

For instance, the following instruction tells your agent to confirm that a vacation request action should be run before updating the database for the user: You are an HR agent, helping employees … [other instructions removed for brevity] Before creating, editing or deleting a time-off request, ask for user confirmation for your actions.

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