Analytics Vidhya

DECEMBER 24, 2023

Introduction As we bid farewell to 2023, it’s time to reflect on the groundbreaking events that have shaped the landscape of Artificial Intelligence. From advancements in ML to ethical debates […] The post AI Revolution: The Top 10 AI Milestones of 2023 appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 31, 2023

In an exciting collaboration, Amazon Web Services (AWS) and Accel have unveiled “ML Elevate 2023,” a revolutionary six-week accelerator program aimed at empowering startups in the generative artificial intelligence (AI) domain.

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AWS Machine Learning Blog

OCTOBER 22, 2024

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. The data sync is completed by the Step Functions workflow, and its cadence can be on demand, scheduled, or invoked by an event.

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Flipboard

MAY 28, 2025

Machine learning (ML) has emerged as a powerful tool to help nonprofits expedite manual processes, quickly unlock insights from data, and accelerate mission outcomesfrom personalizing marketing materials for donors to predicting member churn and donation patterns.

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Machine Learning Machine Learning ML ML 121

AWS Machine Learning Blog

JULY 8, 2024

This hands-on experience gives learners an excellent opportunity to engage with the AWS Management Console and develop Python-based reward functions, fostering valuable skills in cloud-centered technologies and machine learning (ML). In this post, we discuss the benefits of DREM and the experience for racers, event staff, and spectators.

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AWS Machine Learning Blog

JANUARY 22, 2025

On our SASE management console, the central events page provides a comprehensive view of the events occurring on a specific account. With potentially millions of events over a selected time range, the goal is to refine these events using various filters until a manageable number of relevant events are identified for analysis.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries.

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Flipboard

MAY 2, 2025

lower() == companyName: return company_info return None def createPortfolio(event, company_data): numCompanies = int(get_named_parameter(event, 'numCompanies')) industry = get_named_parameter(event, 'industry').lower() import json import boto3 client = boto3.client('ses') import json import boto3 client = boto3.client('ses')

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Google Research AI blog

MAY 23, 2023

However, with machine learning (ML), we have an opportunity to automate and streamline the code review process, e.g., by proposing code changes based on a comment’s text. As of today, code-change authors at Google address a substantial amount of reviewer comments by applying an ML-suggested edit. 3-way-merge UX in IDE.

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ML @ CMU

NOVEMBER 7, 2024

Since landmines are not used randomly but under war logic , Machine Learning can potentially help with these surveys by analyzing historical events and their correlation to relevant features. Finally, the results are delivered through a web application developed with key mine action stakeholders.

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Data Science Dojo

JANUARY 13, 2023

The Gartner Data and Analytics Summit is considered as a leading event for professionals in the data and analytics field. 4. AI and Big Data Expo North America – California, United States AI and Big Data Expo North America is a technology event that focuses on artificial intelligence (AI) and big data.

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Flipboard

FEBRUARY 11, 2025

By using Amazon Q Business, which simplifies the complexity of developing and managing ML infrastructure and models, the team rapidly deployed their chat solution. Full Macie finding event: {. } The notification contains the full Macie finding event, which is omitted from the preceding excerpt.

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Data Science Dojo

SEPTEMBER 8, 2023

Descriptive analytics involves summarizing historical data to extract insights into past events. Diagnostic analytics goes further, aiming to uncover the root causes behind these events. ML encompasses a range of algorithms that enable computers to learn from data without explicit programming. Streamline operations.

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Analytics Vidhya

MARCH 21, 2024

Introduction Conferences, bootcamps, and events with thousands of gatherings might sound overwhelming, but they are beneficial for connecting with like-minded individuals. Participating in these events can lead to valuable collaborations, friendships, and personal growth.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. Visit the session catalog to learn about all our generative AI and ML sessions.

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AWS Machine Learning Blog

FEBRUARY 7, 2024

In the first post 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. Choose Create event type. The following screenshot shows our event type details.

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AWS Machine Learning Blog

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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AWS Machine Learning Blog

DECEMBER 2, 2024

This new feature brings several key benefits for generative AI inference workloads: dramatically faster scaling to handle traffic spikes, improved resource utilization on GPU instances, and potential cost savings through more efficient scaling and reduced idle time during scale-up events.

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Analytics Vidhya

JUNE 10, 2024

Seasonal changes, festivals, and cultural events often bring about these variances. Introduction Trends that repeat themselves over days or months are called seasonality in time series. Understanding these patterns is essential since they greatly influence corporate results and decision-making.

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Analytics Vidhya

APRIL 19, 2023

The OpenAI’s CEO, Sam Altman, said during an event held at the Massachusetts Institute of Technology that future advances would no longer […] The post The End of the Giant AI Models Era: OpenAI CEO Warns Scaling Era Is Over appeared first on Analytics Vidhya.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. SageMaker Studio set up.

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AWS Machine Learning Blog

OCTOBER 29, 2024

This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from the beginning, refer to Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker. We use SageMaker Model Monitor to assess these models’ performance.

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Flipboard

MAY 24, 2025

Over three months, participants were asked to do self-monitoring blood glucose measurements and record hypoglycemic events. & mL/min/1.73& This prospective study enrolled 1306 adults with type 2 diabetes mellitus at a specialized diabetes center. The performance of the models was evaluated by different metrics.

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AWS Machine Learning Blog

MAY 16, 2025

In this post, we share how Amazon Web Services (AWS) is helping Scuderia Ferrari HP develop more accurate pit stop analysis techniques using machine learning (ML). Modernizing through partnership with AWS The partnership with AWS is helping Scuderia Ferrari HP modernize the challenging process of pit stop analysis, by using the cloud and ML.

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AWS Machine Learning Blog

APRIL 29, 2025

As AWS LLM League events began rolling out in North America, this initiative represented a strategic milestone in democratizing machine learning (ML) and enabling partners to build practical generative AI solutions for their customers. SageMaker JumpStart is an ML hub that can help you accelerate your ML journey.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon SageMaker Studio is the first integrated development environment (IDE) purposefully designed to accelerate end-to-end machine learning (ML) development. These automations can greatly decrease overhead related to ML project setup, facilitate technical consistency, and save costs related to running idle instances.

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Flipboard

NOVEMBER 28, 2023

While it might be easier to start looking at an individual machine learning (ML) model and the associated risks in isolation, it’s important to consider the details of the specific application of such a model and the corresponding use case as part of a complete AI system. In this post, we focus on AI system risk, primarily.

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Data Science Dojo

FEBRUARY 6, 2025

Data annotation is the process of labeling data to make it understandable and usable for machine learning (ML) models. Some key types of data annotation are as follows: Text Annotation Text annotation is the process of labeling and categorizing elements within a text to provide context and meaning for ML models.

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AWS Machine Learning Blog

DECEMBER 12, 2023

This new workforce requires rapid reskilling and understanding of disruptive services such as artificial intelligence (AI) and machine learning (ML) to drive meaningful outcomes. In this post, we share how Vodafone is advancing its ML skills using AWS DeepRacer and Accenture. Why is machine learning important to Vodafone?

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AWS Machine Learning Machine Learning ML 132

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. million subscribers, which amounts to 57% of the Sri Lankan mobile market.

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ML @ CMU

MARCH 22, 2024

TL;DR : Off-the-shelf text spotting and re-identification models fail in basic off-road racing settings, even more so during muddy events. In the dynamic world of sports analytics, machine learning (ML) systems play a pivotal role, transforming vast arrays of visual data into actionable insights.

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Machine Learning Machine Learning ML ML 255

AWS Machine Learning Blog

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Prompt 2: Were there any major world events in 2016 affecting the sale of Vegetables?

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ML @ CMU

MARCH 25, 2024

TL;DR : Off-the-shelf text spotting and re-identification models fail in basic off-road racing settings, even more so during muddy events. In the dynamic world of sports analytics, machine learning (ML) systems play a pivotal role, transforming vast arrays of visual data into actionable insights.

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Machine Learning Machine Learning ML ML 246

IBM Data Science in Practice

MARCH 8, 2023

The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem.

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Machine Learning Machine Learning ML ML 264

Flipboard

JANUARY 14, 2025

This Lambda handler (see the following code) might include supporting functions (such as queryEdgeModel ) for the individual business logic corresponding to each action group. This Lambda handler (see the following code) might include supporting functions (such as queryEdgeModel ) for the individual business logic corresponding to each action group.

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Women in Big Data

MAY 23, 2025

Our events foster inclusive discussionswelcoming men and women aliketo build a diverse, collaborative tech community. ML for ADHD Detection (Speaker: Niyati Bhayani ) Applying brain scans, behavioral insights & diverse models improves ADHD detection in girls. Join us for the next one!

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