AWS Machine Learning Blog

NOVEMBER 19, 2024

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. Third, we’ll explore the robust infrastructure services from AWS powering AI innovation, featuring Amazon SageMaker , AWS Trainium , and AWS Inferentia under AI/ML, as well as Compute topics.

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Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. Below, we highlight a panoply of works that demonstrate Google Research’s efforts in developing new algorithms to address the above challenges.

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Hacker News

JULY 18, 2024

ABOUT EVENTUAL Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads. This is more compute than Frontier, the world's largest supercomputer!

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AWS Machine Learning Blog

MAY 8, 2024

They focused on improving customer service using data with artificial intelligence (AI) and ML and saw positive results, with their Group AI Maturity increasing from 50% to 80%, according to the TM Forum’s AI Maturity Index. Concurrently, the ensemble model strategically combines the strengths of various algorithms.

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Smart Data Collective

NOVEMBER 1, 2020

Unsupervised ML: The Basics. Unlike supervised ML, we do not manage the unsupervised model. Unsupervised ML uses algorithms that draw conclusions on unlabeled datasets. As a result, unsupervised ML algorithms are more elaborate than supervised ones, since we have little to no information or the predicted outcomes.

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Heartbeat

FEBRUARY 6, 2023

How do Object Detection Algorithms Work? There are two main categories of object detection algorithms. Two-Stage Algorithms: Two-stage object detection algorithms consist of two different stages. Single-stage object detection algorithms do the whole process through a single neural network model.

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DrivenData Labs

NOVEMBER 16, 2023

They reflect problems where public, private, and social sector organizations are actively investing in developing better algorithmic solutions. Disaster resilience ¶ Recap: The second area addresses the increase in extreme weather events and natural disasters like tropical storms, floods, and fires.

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AWS Machine Learning Blog

JUNE 22, 2023

Over 500 machine events are monitored in near-real time to give a full picture of machine conditions and their operating environments. Light & Wonder teamed up with the Amazon ML Solutions Lab to use events data streamed from LnW Connect to enable machine learning (ML)-powered predictive maintenance for slot machines.

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Towards AI

JULY 17, 2023

Apriori algorithm is the most sought-after tool when it comes to conducting Market Basket Analysis. A note from the authors Dear readers, before you go through our article, please be informed that we assume that you have a general idea about Market Basket Analysis and the Apriori algorithm. Thank you for your time and interest!

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AWS Machine Learning Blog

JANUARY 5, 2024

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models.

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Towards AI

FEBRUARY 21, 2023

In the most speculative scenarios, the fear (or hope depending on who you ask) is that the sophistication, power, and complexity of our models will eventually breach an event horizon of breakaway intelligence, where the system develops the capability to iteratively self-improve both it’s core functionality and it’s own ability to self-improve.

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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. It is challenging to centralize such data for ML due to privacy requirements, high cost of data transfer, or operational complexity. The ML framework used at FL clients is TensorFlow.

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AWS Machine Learning Blog

JUNE 26, 2024

Artificial intelligence and machine learning (AI/ML) technologies can assist capital market organizations overcome these challenges. Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents. We built the solution using the event-driven principles as depicted in the following diagram.

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ODSC - Open Data Science

JUNE 23, 2023

It is given that organizations should have an effective way of managing all information about their security and be capable of addressing security events as they arise. That’s why since its introduction in 2005, security information and event management (SIEM) has been regarded as a vital component of cybersecurity.

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AWS Machine Learning Blog

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. Recommendation model using NCF NCF is an algorithm based on a paper presented at the International World Wide Web Conference in 2017.

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Towards AI

JULY 23, 2024

Let us delve into machine learning-powered change detection, where innovative algorithms and spatial analysis combine to completely revolutionize how we see and react to our ever-changing surroundings. Why Using Change detection ML is important for Spatial Analysis. Geospatial and statistical data are analyzed in GIS change detection.

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AWS Machine Learning Blog

DECEMBER 20, 2023

A novel approach to solve this complex security analytics scenario combines the ingestion and storage of security data using Amazon Security Lake and analyzing the security data with machine learning (ML) using Amazon SageMaker. SageMaker supports two built-in anomaly detection algorithms: IP Insights and Random Cut Forest.

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ODSC - Open Data Science

APRIL 18, 2023

Now, we’d like to go a bit deeper and specifically examine the role of machine learning in algorithmic trading, including portfolio optimization and pattern recognition. Finance and algorithmic trading aren’t just up to numbers, as the market fluctuates based on news and trends in social media.

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Dataconomy

OCTOBER 25, 2023

Will the Scary Fast event reveal the so-called Apple GPT? As Apple gears up for its Scary Fast event, the tech community is abuzz with speculation. The immense hardware requirements for training language models mean Apple is shelling out millions daily.

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The MLOps Blog

APRIL 5, 2023

In this comprehensive guide, we’ll explore the key concepts, challenges, and best practices for ML model packaging, including the different types of packaging formats, techniques, and frameworks. Best practices for ml model packaging Here is how you can package a model efficiently.

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AWS Machine Learning Blog

NOVEMBER 13, 2023

At a basic level, Machine Learning (ML) technology learns from data to make predictions. Businesses use their data with an ML-powered personalization service to elevate their customer experience. Amazon Personalize enables developers to quickly implement a customized personalization engine, without requiring ML expertise.

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Flipboard

NOVEMBER 21, 2024

Define the text generation configuration AutoMLV2 automates the entire ML process, from data preprocessing to model training and deployment. This configuration acts as a guide, helping SageMaker Autopilot understand the nature of your problem and select the most appropriate algorithm or approach.

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AWS Machine Learning Blog

APRIL 19, 2023

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management.

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O'Reilly Media

JANUARY 17, 2023

This mindset has followed me into my work in ML/AI. Because if companies use code to automate business rules, they use ML/AI to automate decisions. Given that, what would you say is the job of a data scientist (or ML engineer, or any other such title)? But first, let’s talk about the typical ML workflow.

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Data Science Dojo

OCTOBER 31, 2024

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. Applied Machine Learning Scientist Description : Applied ML Scientists focus on translating algorithms into scalable, real-world applications.

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Chatbots Life

APRIL 27, 2024

For enterprise software, AI and ML are like special effects. By examining how AI and ML in enterprise software can drive business success, we aim to highlight these technologies’ transformational potential and underscore their importance in today’s competitive business environment.

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Heartbeat

MARCH 14, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionary technologies with the potential to transform the field of engineering. The synergy between engineering and AI/ML creates unprecedented opportunities for efficiency, cost reduction, and innovation. Indium Software Why AI and ML in Engineering?

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AWS Machine Learning Blog

MARCH 15, 2024

Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. With increased access to data, ML has the potential to provide unparalleled business insights and opportunities.

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ODSC - Open Data Science

MAY 31, 2023

The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem. Consumers read the events and process the data in real-time. Editor’s note: Kai Waehner is a speaker for ODSC Europe this June.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. When someone asks a question via speech or text, ML searches for the answer or recalls similar questions the person has asked before.

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IBM Journey to AI blog

AUGUST 12, 2024

AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps). ML technologies help computers achieve artificial intelligence. However, they differ fundamentally in their purpose and level of specialization in AI and ML environments.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

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AWS Machine Learning Blog

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. A solution version refers to a trained ML model. compared to previous versions. Choose Create solution.

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AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

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PyImageSearch

DECEMBER 11, 2023

The sessions were packed with interesting talks on a variety of topics, and the networking events were a great way to meet new people and make connections. Kicking Off with a Keynote The second day of the Google Machine Learning Community Summit began with an inspiring keynote session by Soonson Kwon, the ML Community Lead at Google.

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AWS Machine Learning Blog

FEBRUARY 5, 2024

According to health organizations such as the Centers for Disease Control and Prevention ( CDC ) and the World Health Organization ( WHO ), a spillover event at a wet market in Wuhan, China most likely caused the coronavirus disease 2019 (COVID-19). health examines these as well.

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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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