AWS Machine Learning Blog

JUNE 3, 2025

For over a decade in the world of technology, Taras has led everything from tight-knit agile teams of 5 or more to a company of 90 people that became the best small IT company in Ukraine under 100 people in 2015. Taras is an AWS Certified ML Engineer Associate.

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Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. And with this work, I invite discussions about this history, my analysis, and the implications for the future of analytics.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. They are also facing challenges in using ML-driven analytics for an increasing number of use cases. First, it automatically anonymizes the data from Amazon HealthLake.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Meesho was founded in 2015 and today focuses on buyers and sellers across India. We used AWS machine learning (ML) services like Amazon SageMaker to develop a powerful generalized feed ranker (GFR). SageMaker offered ease of deployment with support for various ML frameworks, allowing models to be served with low latency.

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AWS Machine Learning Blog

DECEMBER 7, 2023

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, and the United States. Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Initially, daily forecasts for each country are formulated through ML models.

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Pickl AI

JANUARY 23, 2023

It is not a good when dealing with RNN (Recurrent Neural Networks) Also See: 5 Machine Learning Algorithms That Every ML Engineer Should know Microsoft CNTK CNTK is a deep learning framework that was created by Microsoft Research. It is an open source framework that has been available since April 2015. It is very fast and supports GPU.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

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ODSC - Open Data Science

FEBRUARY 20, 2023

Rumelhart Prize in 2015, and the ACM/AAAI Allen Newell Award in 2009. He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E.

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ODSC - Open Data Science

MARCH 13, 2025

Just Do Something with AI: Bridging the Business Communication Gap forML This blog explores how ML practitioners can navigate AI business communication, ensuring AI initiatives align with real businessvalue. In 2025, were leveling up with a brand-new venue, next-gen content, and the most immersive AI experience yet! Register now for 30%off!

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AWS Machine Learning Blog

OCTOBER 23, 2024

At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models. The serverless infrastructure of Amazon Bedrock manages the execution of ML models, resulting in a scalable and reliable application.

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AWS Machine Learning Blog

FEBRUARY 11, 2025

SageMaker Studio is a comprehensive IDE that offers a unified, web-based interface for performing all aspects of the machine learning (ML) development lifecycle. This approach allows for greater flexibility and integration with existing AI/ML workflows and pipelines. Deploy Meta SAM 2.1 On the endpoint details page, choose Delete.

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Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. And with this work, I invite discussions about this history, my analysis, and the implications for the future of analytics.

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DataRobot Blog

APRIL 1, 2018

Paxata was a Silver Sponsor at the recent Gartner Data and Analytics Summit in Grapevine Texas. Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. From all the sessions and conversations, we took away three important themes.

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AWS Machine Learning Blog

MAY 15, 2023

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, France, Spain, Italy, Portugal, and the United States. CNN-QR is a proprietary ML algorithm developed by Amazon for forecasting scalar (one-dimensional) time series using causal Convolutional Neural Networks (CNNs).

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IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022. What is MLOps?

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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 Latest order date. Yearly average sales.

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phData

SEPTEMBER 20, 2023

On the client side, Snowpark consists of libraries, including the DataFrame API and native Snowpark machine learning (ML) APIs for model development (public preview) and deployment (private preview). phData has been working in data engineering since the inception of the company back in 2015. Why is Snowpark Exciting to us?

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Towards AI

APRIL 19, 2024

PwC 👉Industry domain: AI, Professional services, Business intelligence, Consulting, Cybersecurity, Generative AI 👉Location: 73 offices 👉Year founded: 1998 👉Programming Languages Deployed: Java, Google Cloud, Microsoft SQL, jQuery, Pandas, R, Oracle 👉Benefits: Hybrid workspace, Child care and parental leave, flexible (..)

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

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Snorkel AI

JANUARY 25, 2024

Finding ways to utilise unstructured data for AI/Machine Learning (ML) use cases requires platforms that not only make the data accessible, but do so in a way that can be built on by non-technical stakeholders. QBE Ventures’ introduction to Snorkel AI came from our QBE data science and claims analytics peers.

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Snorkel AI

JANUARY 25, 2024

Finding ways to utilise unstructured data for AI/Machine Learning (ML) use cases requires platforms that not only make the data accessible, but do so in a way that can be built on by non-technical stakeholders. QBE Ventures’ introduction to Snorkel AI came from our QBE data science and claims analytics peers.

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DagsHub

JULY 25, 2024

This guarantees businesses can fully utilize deep learning in their AI and ML initiatives. You can make more informed judgments about your AI and ML initiatives if you know these platforms' features, applications, and use cases. Developed by François Chollet, it was released in 2015 to simplify the creation of deep learning models.

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Snorkel AI

JUNE 22, 2023

We were ultimately acquired about six-and-a -half years ago now, at the very end of 2015. Now, we’re very much an integrated part of McKinsey’s overall analytics and digital practice, but we have more than a thousand technical practitioners globally. The last few years have been something of a scaling journey.

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Snorkel AI

JUNE 22, 2023

We were ultimately acquired about six-and-a -half years ago now, at the very end of 2015. Now, we’re very much an integrated part of McKinsey’s overall analytics and digital practice, but we have more than a thousand technical practitioners globally. The last few years have been something of a scaling journey.

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Women in Big Data

MAY 21, 2024

Launched in 2015 and becoming a nonprofit organization in 2020, WiBD is a grassroots initiative dedicated to inspiring, connecting, and advancing women in data fields. Currently, there is an ML Engineer Track, but no certification is available yet. We provided a quick overview of Women in Big Data (WiBD). link] com/certification.

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Snorkel AI

JUNE 22, 2023

We were ultimately acquired about six-and-a -half years ago now, at the very end of 2015. Now, we’re very much an integrated part of McKinsey’s overall analytics and digital practice, but we have more than a thousand technical practitioners globally. The last few years have been something of a scaling journey.

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PyImageSearch

JANUARY 30, 2023

AI- and ML-powered software can deliver widely available and affordable opportunities for students to upskill. Figure 4: Personalized Learning Pathways (source: Analytics Steps ). Figure 6: Changing demand for core work-related skills from 2015 to 2020 (source: IFC ).

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Snorkel AI

FEBRUARY 13, 2023

Media Analytics, where we analyze all the broadcast content, as well as live content, that we’re distributing to extract additional metadata from this data and make it available to other systems to create new interactive experiences, or for further insights into how customers are using our streaming services.

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Snorkel AI

FEBRUARY 13, 2023

Media Analytics, where we analyze all the broadcast content, as well as live content, that we’re distributing to extract additional metadata from this data and make it available to other systems to create new interactive experiences, or for further insights into how customers are using our streaming services.

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DrivenData Labs

SEPTEMBER 10, 2024

Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. Many teams combined technical skills in AI/ML with domain knowledge in neuroscience, aging, or healthcare. Paola Ruíz Puente is a Biomedical Engineer amd the AI/ML manager at IGC Pharma.

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