AWS Machine Learning Blog

NOVEMBER 19, 2024

In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer —a fully autonomous 1/18th scale race car driven by reinforcement learning. At the time, I knew little about AI or machine learning (ML). The night before the finals, we learned that we had qualified because of a dropout.

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ML @ CMU

MARCH 31, 2023

Our work further motivates novel directions for developing and evaluating tools to support human-ML interactions. Model explanations have been touted as crucial information to facilitate human-ML interactions in many real-world applications where end users make decisions informed by ML predictions.

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KDnuggets

DECEMBER 11, 2019

We asked top experts: What were the main developments in AI, Data Science, Deep Learning, and Machine Learning Research in 2019, and what key trends do you expect in 2020?

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KDnuggets

JANUARY 7, 2020

There is a need for a new way to explain complex, ensembled ML models for high-stakes applications such as credit and lending. This is why we invented GIG.

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KDnuggets

DECEMBER 16, 2019

It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.

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NYU Center for Data Science

SEPTEMBER 28, 2023

Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group. By 2020, ML² was a thriving community, primarily known for its recurring speaker series where researchers presented their work to peers.

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ML @ CMU

JANUARY 2, 2025

2020 ) to systematically quantify behavioral accuracy. Task We chose a naturalistic virtual navigation task (Figure 1) previously used to investigate the neural computations underlying animals flexible behaviors ( Lakshminarasimhan et al., Figure 5 We used a Receiver Operating Characteristic (ROC) analysis ( Lakshminarasimhan et al.,

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Flipboard

MAY 15, 2025

Qualtrics harnesses the power of generative AI, cutting-edge machine learning (ML), and the latest in natural language processing (NLP) to provide new purpose-built capabilities that are precision-engineered for experience management (XM). Qualtrics refers to it internally as the Socrates platform.

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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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AWS Machine Learning Blog

OCTOBER 16, 2024

Solution overview Intact aimed to develop a cost-effective and efficient call analytics platform for their contact centers by using speech-to-text and machine learning technologies. Machine learning operations (MLOps) Intact also built an automated MLOps pipeline that use Step Functions, Lambda, and Amazon S3.

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AWS Machine Learning Blog

NOVEMBER 29, 2024

For example, marketing and software as a service (SaaS) companies can personalize artificial intelligence and machine learning (AI/ML) applications using each of their customer’s images, art style, communication style, and documents to create campaigns and artifacts that represent them. year-over-year (13.8%

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KDnuggets

MARCH 25, 2020

Read our analysis of coronavirus data and poll results; Use your time indoors to learn with 24 best and free books to understand Machine Learning; Study the 9 important lessons from the first year as a Data Scientist; Understand the SVM, a top ML algorithm; check a comprehensive list of AI resources for online learning; and more.

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KDnuggets

JANUARY 10, 2020

Also: Google's New Explainable AI Service; 10 Free Top Notch Machine Learning Courses.

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Machine Learning (Theory)

DECEMBER 1, 2020

This post is cross-listed on the CMU ML blog. The International Conference on Machine Learning (ICML) is a flagship machine learning conference that in 2020 received 4,990 submissions and managed a pool of 3,931 reviewers and area chairs. In this post, we summarize the results of these studies.

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Data Science 101

JANUARY 24, 2020

Microsoft DP-100 Certification Updated – The Microsoft Data Scientist certification exam has been updated to cover the latest Azure Machine Learning tools. Azure SDK January 2020 Updates – The SDK now includes preview support of the Text Analytics capabilities from Cognitive Services. Courses/Learning.

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AWS Machine Learning Blog

JUNE 28, 2023

Because answering these questions requires understanding complex relationships between many different factors—often changing and dynamic—one powerful tool we have at our disposal is machine learning (ML), which can be deployed to analyze, predict, and solve these complex quantitative problems.

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ODSC - Open Data Science

FEBRUARY 9, 2023

2020) When I wrote that statement a few years ago, I meant it mostly in the context of business concerns: a data scientist should have empathy for the needs and concerns of the people downstream who will consume the results of the models they build. Nina Zumel and John Mount, Practical Data Science with R, 2nd Ed.

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ODSC - Open Data Science

MAY 25, 2023

sktime — Python Toolbox for Machine Learning with Time Series Editor’s note: Franz Kiraly is a speaker for ODSC Europe this June. Be sure to check out his talk, “ sktime — Python Toolbox for Machine Learning with Time Series ,” there! Welcome to sktime, the open community and Python framework for all things time series.

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AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. By providing multiple access points, SageMaker JumpStart helps you seamlessly incorporate pre-trained models into your AI/ML development efforts, regardless of your preferred interface or workflow.

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DagsHub

DECEMBER 11, 2023

The following points illustrates some of the main reasons why data versioning is crucial to the success of any data science and machine learning project: Storage space One of the reasons of versioning data is to be able to keep track of multiple versions of the same data which obviously need to be stored as well.

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Dataconomy

AUGUST 22, 2024

Aleksandr Timashov is an ML Engineer with over a decade of experience in AI and Machine Learning. Please tell our readers about your background and how you got into Data Science and Machine Learning? The transition to Machine Learning felt natural given my mathematical background.

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Towards AI

NOVEMBER 16, 2024

This blog explores how Keswani’s method addresses common challenges in min-max scenarios, with applications in areas of modern Machine Learning such as GANs, adversarial training, and distributed computing, providing a robust alternative to traditional algorithms like Gradient Descent Ascent (GDA). 139–144, 2020.[3] Arjovsky, S.

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Flipboard

JUNE 4, 2025

For more information on how SageMaker HyperPods resiliency helps save costs while training, check out Reduce ML training costs with Amazon SageMaker HyperPod. For example, Amazon is the largest corporate purchaser of renewable energy in the world, every year since 2020. We have made significant progress over the years.

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The MLOps Blog

DECEMBER 28, 2022

The onset of the pandemic has triggered a rapid increase in the demand and adoption of ML technology. Building ML team Following the surge in ML use cases that have the potential to transform business, the leaders are making a significant investment in ML collaboration, building teams that can deliver the promise of machine learning.

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Data Science Dojo

FEBRUARY 6, 2025

billion in 2020 to $4.1 Data annotation is the process of labeling data to make it understandable and usable for machine learning (ML) models. It is a fundamental step in AI training as it provides the necessary context and structure that models need to learn from raw data. billion by 2025.

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DrivenData Labs

MAY 12, 2025

The resulting tool makes it easy for water quality managers to take advantage of state-of-the-art machine learning, achieves better results than existing tools with 10x more coverage, and was published in SciPy Proceedings in 2024. Stylized view of severity estimates for points on a lake with a cyanobacteria bloom.

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AWS Machine Learning Blog

DECEMBER 14, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. This can significantly shorten the time needed to deploy the Machine Learning (ML) pipeline to production. session.Session().region_name session.Session().region_name

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Dataconomy

FEBRUARY 26, 2024

GPUs: The versatile powerhouses Graphics Processing Units, or GPUs, have transcended their initial design purpose of rendering video game graphics to become key elements of Artificial Intelligence (AI) and Machine Learning (ML) efforts.

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Dataconomy

MAY 28, 2025

The end of the low-interest “free money madness” of 2020-2022, leading to overhiring and subsequent corrections, is a major driver. Carta data shows Series A tech startups are, on average, 20% smaller than in 2020. With tighter budgets, companies are hiring leaner.

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Data Science Dojo

JANUARY 20, 2023

” -DSD- Nothing can compare to Michael Jordan’s announcement in 1995 that he was returning to the NBA, but for Data Science Dojo (DSD), this comes close. In 2020, we had to move our in-person Data Science Bootcamp curriculum to an online format.

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Flipboard

MAY 30, 2025

Throughout her career, she has shared her expertise at numerous conferences and has authored several blogs in the Machine Learning and Generative AI domains. He was the legal licensee in his ancient (AD 1468) English countryside village pub until early 2020.

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Applied Data Science

AUGUST 2, 2021

Machine learning The 6 key trends you need to know in 2021 ? They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. Download the free, unabridged version here.

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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose using an open-source federated learning (FL) framework called FedML , which enables you to analyze sensitive HCLS data by training a global machine learning model from distributed data held locally at different sites. Iterative process of model training.

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Towards AI

AUGUST 25, 2023

How to get started with an AI project Vackground on Unsplash Background Here I am assuming that you have read my previous article on How to Learn AI. Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed.

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Flipboard

MAY 29, 2025

Custom geospatial machine learning : Fine-tune a specialized regression, classification, or segmentation model for geospatial machine learning (ML) tasks. Heres what the analysis shows: Stable forest conditions from 2018 through 2020 A significant discontinuity in embedding values during 2021.

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IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps).

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Towards AI

NOVEMBER 16, 2024

We also examine P-STN, a potential upgrade from 2020 including enhanced transformations and increased efficiency. The construction of more adaptable and precise machine learning models relies on an understanding of STNs and their advancements.

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