Hacker News

JANUARY 26, 2024

As the number of accepted papers at AI and ML conferences reaches into the thousands, it has become unclear how researchers access and read research publications. In this paper, we investigate the role of social media influencers in enhancing the visibility of machine learning research, particularly the citation counts of papers they share.

Machine Learning 139

Machine Learning Machine Learning ML ML 139

Data Science Dojo

SEPTEMBER 8, 2023

However, with the introduction of Deep Learning in 2018, predictive analytics in engineering underwent a transformative revolution. Machine Learning and Deep Learning: The Power Duo Machine Learning (ML) and Deep Learning (DL) are two critical branches of AI that bring exceptional capabilities to predictive analytics.

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ODSC - Open Data Science

MARCH 22, 2023

Be sure to check out his session, “ Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI ,” there! Anybody who has worked on a real-world ML project knows how messy data can be. Everybody knows you need to clean your data to get good ML performance. A common gripe I hear is: “Garbage in, garbage out.

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Google Research AI blog

MAY 15, 2023

This became apparent in 2018, when the Gender Shades study highlighted that computer vision systems struggled to detect people with darker skin tones, and performed particularly poorly for women with darker skin tones. How do we effectively annotate skin tone for use in inclusive machine learning (ML)?

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ML ML Machine Learning Machine Learning 109

Towards AI

NOVEMBER 16, 2024

Ba, “On solving minimax optimization locally: A follow-the-ridge approach,” arXiv preprint arXiv:1910.07512,2019.[10] Daskalakis and I. Panageas, “The limit points of (optimistic) gradient descent in min-max optimization,” Advances in neural informationprocessing systems, vol. Mescheder, S. Nowozin, and A. Balduzzi, S. Racaniere, J. Martens, J.

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Algorithm ML ML AI 105

Dataconomy

MARCH 12, 2025

Background and context of model cards The concept of model cards was introduced by Google in 2018, reflecting the growing need for responsible AI practices as machine learning technologies gained momentum, particularly with large language models (LLMs). This detailed documentation is invaluable for developers, users, and regulators alike.

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Machine Learning Machine Learning AI AI 91

AWS Machine Learning Blog

AUGUST 29, 2024

The AWS DeepRacer League is the world’s first autonomous racing league, open to everyone and powered by machine learning (ML). AWS DeepRacer brings builders together from around the world, creating a community where you learn ML hands-on through friendly autonomous racing competitions.

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AWS ML ML Machine Learning 117

Flipboard

APRIL 13, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses.

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AWS AI AI ML 182

Smart Data Collective

OCTOBER 8, 2021

This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. As such, over 56% of hedge fund managers use AI and ML when making investment decisions. This is according to Barclay Hedge founder and President Sol Waksman in his July 2018 statement. Let me walk you through these.

Machine Learning 132

Machine Learning Machine Learning Algorithm ML 132

Flipboard

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. We then explain the details of the ML methodology and model training procedures.

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Cross Validation ML ML Machine Learning 123

AWS Machine Learning Blog

APRIL 19, 2023

Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. These models are then pushed to an Amazon Simple Storage Service (Amazon S3) bucket using DVC, a version control tool for ML models. Business requirements We are the US squad of the Sportradar AI department.

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ML ML Deep Learning Deep Learning 85

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Quantitative modeling and forecasting – Generative models can synthesize large volumes of financial data to train machine learning (ML) models for applications like stock price forecasting, portfolio optimization, risk modeling, and more. Multi-modal models that understand diverse data sources can provide more robust forecasts. WWW: $85.91

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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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AWS Machine Learning Machine Learning AI 83

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:

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Tableau

DECEMBER 1, 2021

April 2018), which focused on users who do understand joins and curating federated data sources. Jan 2018), which supercharged Tableau extracts with an in-memory data engine technology, designed for fast data ingest and analytical query processing on large or complex data sets. Visual encoding is key to explaining ML models to humans.

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Tableau ML ML Database 145

IBM Journey to AI blog

MARCH 21, 2024

5G, or fifth-generation mobile technology , is a new specification for wireless networks developed in 2018 by the 3rd Generation Partnership Project (3DPP) to guide the development of devices, including smartphones, PCs, tablets and more, that are designed to run on 5G networks. What is 5G?

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AWS Machine Learning Blog

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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ODSC - Open Data Science

APRIL 17, 2023

Source Purpose of Using DevSecOps in Traditional and ML Applications The DevSecOps practices are different in traditional and ML applications as each comes with different challenges. The characteristics which we saw for DevSecOps for traditional applications also apply to ML-based applications.

Data Science 97

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ML @ CMU

OCTOBER 7, 2024

CVPR 2018 ] uses a pre-trained image encoder to embed and compare image features, with higher similarity indicating the images look alike. As text-to-visual models advance, evaluating them has become a challenging task. OpenAI 2021 ]. Esser et al., Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. Stability AI 2024.

AI 192

AI AI Machine Learning Machine Learning 192

Towards AI

JULY 20, 2023

It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. Over the past several years, researchers have increasingly attempted to improve the data extraction process through various ML techniques. This study by Bui et al.

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DataRobot Blog

APRIL 1, 2018

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. 2] Gartner, Five Reasons to Begin Converging Application and Data Integration , Published: 12 March 2015 Refreshed: 05 February 2018, Analyst(s): Eric Thoo | Keith Guttridge. [3]

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Analytics Analytics Data Preparation Augmented Analytics 40

AWS Machine Learning Blog

JUNE 26, 2024

This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Prompt the agent to build an optimal portfolio using the collected data What are the closing prices of stocks AAAA, WWW, DDD in year 2018? Sovik has published articles and holds a patent in ML model monitoring.

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AWS AI AI Database 119

SAS Software

FEBRUARY 13, 2023

GARP and SAS partnered for a survey in 2018 to understand the use of AI & ML models in risk management. Since then, we've seen an increasing demand in the market to credit risk transformation projects (CRTs). Because of that, the survey was expanded in 2022 and has been extended to [.]

ML 52

ML ML AI AI 52

Data Science 101

APRIL 26, 2019

Go Machine Learning Projects (2018) – this book uses gonum and gorgonia in the examples Machine Learning with Go (2017). Golang Data Science Books. There have even been a couple books written about the topic. Thoughts from the Community. Reasons Not to use Golang for Data Science.

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Data Science Machine Learning Machine Learning Python 111

ML @ CMU

DECEMBER 29, 2023

Traditional distributed ML assumes each worker/client has a random (identically distributed) sample of the training data. 2018) ) We report the error rate of each HP tuning method (y-axis) at a given budget of rounds (x-axis). Heterogeneity. Source: Hyperband (Li et al.

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Algorithm Machine Learning Machine Learning ML 209

Dataconomy

FEBRUARY 14, 2024

In the wake of the Mozilla layoffs, the company behind the famous browser has showed revisions to its product strategy ( Image credit ) Additionally, Mozilla has decided to discontinue Hubs, its 3D virtual environment introduced in 2018, and reduce its commitment to the mozilla.social Mastodon instance.

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AI AI ML ML 103

Alation

FEBRUARY 20, 2020

The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. According to the report, MLDCs are becoming increasingly valuable for organizations implementing self-service analytics: Combining ML with collaboration and activation scales out data understanding and speeds up use. Here’s why your organization should catch the Wave.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Analytics 52

AWS Machine Learning Blog

MARCH 8, 2023

MPII is using a machine learning (ML) bid optimization engine to inform upstream decision-making processes in power asset management and trading. MPII’s bid optimization engine solution uses ML models to generate optimal bids for participation in different markets. Data comes from disparate sources in a number of formats.

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Tableau

DECEMBER 1, 2021

April 2018), which focused on users who do understand joins and curating federated data sources. Jan 2018), which supercharged Tableau extracts with an in-memory data engine technology, designed for fast data ingest and analytical query processing on large or complex data sets. Visual encoding is key to explaining ML models to humans.

Tableau 98

Tableau ML ML Database 98

AWS Machine Learning Blog

APRIL 6, 2023

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We trained three models using data from 2011–2018 and predicted the sales values until 2021.

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Machine Learning Machine Learning ML ML 93

IBM Journey to AI blog

MARCH 8, 2024

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

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ML ML Internet of Things Artificial Intelligence 120

ML @ CMU

JUNE 30, 2023

Object Goal Navigation We instantiate semantic navigation with the Object Goal navigation task [ Anderson 2018 ], where a robot starts in a completely unseen environment and is asked to find an instance of an object category, let’s say a toilet.

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Analytics Analytics Machine Learning Machine Learning 190

Hacker News

OCTOBER 15, 2024

In order to meet the growing needs of our AI Meta and Microsoft: Driving Open Innovation Together Meta and Microsoft have a long-standing partnership within OCP, beginning with the development of the Switch Abstraction Interface (SAI) for data centers in 2018.

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AWS Machine Learning Blog

JULY 9, 2024

of its consolidated revenues during the years ended December 31, 2019, 2018 and 2017, respectively. Simon Zamarin is an AI/ML Solutions Architect whose main focus is helping customers extract value from their data assets. (thousand) Given Context: The Company’s top ten clients accounted for 42.2%, 44.2%

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AWS Machine Learning Blog

AUGUST 7, 2023

AWS ProServe solved this use case through a joint effort between the Generative AI Innovation Center (GAIIC) and the ProServe ML Delivery Team (MLDT). However, LLMs are not a new technology in the ML space. The new ML workflow now starts with a pre-trained model dubbed a foundation model.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

We are actively working on extending our methods to additional domains, such as computer vision, but be aware that our efficiency improvements do not translate to all ML domains at this time. Graviton Technical Guide is a good resource to consider while evaluating your ML workloads to run on Graviton.

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AWS Machine Learning Blog

MAY 14, 2024

RLHF is a technique that combines rewards and comparisons, with human feedback to pre-train or fine-tune a machine learning (ML) model. Response before RLHF : SageMaker stores code in ML storage volumes Response after RLHF : SageMaker stores code in ML storage volumes, secured by security groups and optionally encrypted at rest.

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