Dataconomy

MARCH 17, 2025

By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. Augmented analytics is the integration of ML and NLP technologies aimed at automating several aspects of data preparation and analysis.

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ML @ CMU

SEPTEMBER 13, 2024

2017 ] may look like tests for memorization and they are even intimately related to auditing machine unlearning [ Carlini et al., In 2017 IEEE symposium on security and privacy (SP) , pages 3–18. IEEE, 2017. So while membership inference attacks (MIAs) [e.g. Shokri et al., 2021 , Pawelczyk et al., 2023 , Choi et al.,

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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 Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

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Google Research AI blog

FEBRUARY 2, 2023

Great machine learning (ML) research requires great systems. In this post, we provide an overview of the numerous advances made across Google this past year in systems for ML that enable us to support the serving and training of complex models while easing the complexity of implementation for end users.

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AWS Machine Learning Blog

SEPTEMBER 29, 2023

In this post, we illustrate how to use a segmentation machine learning (ML) model to identify crop and non-crop regions in an image. Identifying crop regions is a core step towards gaining agricultural insights, and the combination of rich geospatial data and ML can lead to insights that drive decisions and actions.

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AWS Machine Learning Blog

APRIL 16, 2024

Customers have benefited from this confidentiality and isolation from AWS operators on all Nitro-based EC2 instances since 2017. By design, there is no mechanism for any Amazon employee to access a Nitro EC2 instance that customers use to run their workloads, or to access data that customers send to a machine learning (ML) accelerator or GPU.

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AWS Machine Learning Blog

MARCH 11, 2025

simple Music Can you tell me how many grammies were won by arlo guthrie until 60th grammy (2017)? Both types of questions are common from users, and a typical Google search for the query such as Can you tell me how many grammies were won by arlo guthrie until 60th grammy (2017)? will not give you the correct answer (one Grammy).

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Data Science Dojo

MARCH 15, 2024

It spun off in 2017 from OpenAI by its ex-research scientists, Peter Chen and Pieter Abbeel. Its robots are powered by a technology called the Covariant Brain, a machine-learning (ML) model to train and improve robots’ functionality in real-world applications.

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Towards AI

AUGUST 25, 2023

As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In ML, there are a variety of algorithms that can help solve problems. Packt, ISBN: 978–1787125933, 2017.

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Data Science Dojo

JANUARY 18, 2023

AI and ML algorithms in fintech supporting financial transactions such as banking and lending will have an impartial say in which individuals have access to banking in 2023. Moreover, data-driven business models can be implemented in the financial sector as well.

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NYU Center for Data Science

AUGUST 29, 2024

He is partly supported by the Apple Scholars in AI/ML PhD fellowship. This work aims to improve the application of ML in healthcare settings. My goal is to develop methods that can bridge the gap between modern ML and real problems in clinical decision-making.” Puli earned his MS in Computer Science from NYU in 2017.

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Data Science 101

APRIL 26, 2019

Gopher Data – Gophers doing data analysis, no schedule events, last blog post was 2017 Gopher Notes – Golang in Jupyter Notebooks Lgo – Interactive programming with Jupyter for Golang Gota – Data frames for Go, “The API is still in flux so use at your own risk.” Thoughts from the Community.

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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. The structured dataset includes order information for products spanning from 2010 to 2017.

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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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Tableau

DECEMBER 1, 2021

May 2017), which was Tableau’s first exploration of Machine Learning (ML) technology to provide computer assistance. Salesforce has accelerated Tableau’s exploration of ML, including with Einstein Discovery in Tableau in Tableau 2021.1 Visual encoding is key to explaining ML models to humans. March 2021).

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AWS Machine Learning Blog

JANUARY 6, 2023

The vendors evaluated for this MarketScape offer various software tools needed to support end-to-end machine learning (ML) model development, including data preparation, model building and training, model operation, evaluation, deployment, and monitoring. AI life-cycle tools are essential to productize AI/ML solutions. AWS position.

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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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Dataconomy

OCTOBER 3, 2023

Every app we’ve spotlighted harnesses the prowess of AI and ML to craft those uncanny deepfake visuals. Dive into Wikipedia, and you’ll find the term “Deepfake” attributed to a 2017 emergence by a Redditor known as “deepfakes”. Who’s the brain behind deepfakes? Can AI spot deepfakes?

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Towards AI

OCTOBER 19, 2024

Figure 3: A “beeswarm” plot from SHAP to examine the impact of different features on income from census data The Challenge of Modern AI Models While these XAI techniques work well for traditional ML models, modern AI systems like Large Language Models (LLMs) present new challenges. References [1] F. Doshi-Velez and B. 2] […]

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Towards AI

AUGUST 8, 2024

Having worked in the AI/ML field for many years, I vividly recall the early days of GenAI when creating even simple coherent text was a Herculean task. Transformers architecture, introduced back in 2017, revolutionized AI, particularly in language models. Can Mixture of Experts (MoE) Models Push GenAI to the Next Level?

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Defined.ai blog

JANUARY 29, 2023

GANs in Data augmentation and Medical imaging GANs are commonly utilized in data augmentation, which is the process of creating additional data for training other machine learning (ML) models. This technique is useful when data is scarce or costly, and where other ML models require large amounts of data to function effectively.

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ML @ CMU

OCTOBER 7, 2024

NeurIPS 2017. Hessel et al., A Reference-free Evaluation Metric for Image Captioning. EMNLP 2021. Heusel et al., GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. Betker et al., Improving Image Generation with Better Captions (DALL-E 3). OpenAI 2023. Esser et al.,

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DataRobot Blog

APRIL 29, 2022

In 2017, additional regulation targeted much smaller financial institutions in the U.S. The FDIC’s action was announced through a Financial Institution Letter, FIL-22-2017. The Framework for ML Governance. The new regulation greatly reduced the minimum threshold for compliance for banks from $50 billion to $1 billion in assets.

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Towards AI

APRIL 1, 2023

One of the core ideas behind ChatGPT dates back to a research paper from 2017. TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to read. Last Updated on April 1, 2023 by Editorial Team Author(s): Jesus Rodriguez Originally published on Towards AI.

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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

MAY 16, 2024

Recommendation model using NCF NCF is an algorithm based on a paper presented at the International World Wide Web Conference in 2017. SageMaker pipeline for training SageMaker Pipelines helps you define the steps required for ML services, such as preprocessing, training, and deployment, using the SDK.

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Tableau

DECEMBER 1, 2021

May 2017), which was Tableau’s first exploration of Machine Learning (ML) technology to provide computer assistance. Salesforce has accelerated Tableau’s exploration of ML, including with Einstein Discovery in Tableau in Tableau 2021.1 Visual encoding is key to explaining ML models to humans. March 2021).

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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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Google Research AI blog

MAY 18, 2023

Posted by Lucas Dixon and Michael Terry, co-leads, PAIR, Google Research PAIR (People + AI Research) first launched in 2017 with the belief that “AI can go much further — and be more useful to all of us — if we build systems with people in mind at the start of the process.”

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Towards AI

APRIL 19, 2024

Unlearn.AI 👉Industry domain: AI, Health Tech, Generative AI 👉Location: 2 offices 👉Year founded: 2017 👉Programming languages deployed: CircleCI, GraphQL, Jupyter, NoSQL, Node.js, Java, C++, AWS, CSS, Pandas 👉Benefits: Hybrid work model, vision insurance, virtual coaching services, promotions within the organization, (..)

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AWS Machine Learning Blog

MARCH 14, 2024

Beyond hardware, data cleaning and processing, model architecture design, hyperparameter tuning, and training pipeline development demand specialized machine learning (ML) skills. Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy ML models.

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Google Research AI blog

AUGUST 25, 2023

The Perception Fairness team drives progress by combining deep subject-matter expertise in both computer vision and machine learning (ML) fairness with direct connections to the researchers building the perception systems that power products across Google and beyond. What kinds of system biases (e.g., What kinds of system biases (e.g.,

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Mlearning.ai

MAY 15, 2023

describe() count 9994 mean 2017-04-30 05:17:08.056834048 min 2015-01-03 00:00:00 25% 2016-05-23 00:00:00 50% 2017-06-26 00:00:00 75% 2018-05-14 00:00:00 max 2018-12-30 00:00:00 Name: Order Date, dtype: object Average sales per year df['year'] = df['Order Date'].apply(lambda Yearly average sales. Convert it into a graph.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. In this post, we deep dive into the technical details of this ML model.

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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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Towards AI

SEPTEMBER 5, 2023

The WeatherBench 2 dataset aims to enhance ML research in weather forecasting. If modern artificial intelligence were to have a founding document, it would be Google’s 2017 research paper, “Attention Is All You Need.” Five 5-minute reads/videos to keep you learning Transformers Revolutionized AI. What Will Replace Them?

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