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. The Amazon Forecast models were eventually selected for the algorithmic modeling segment.

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AWS Machine Learning Blog

OCTOBER 5, 2023

Xin Huang is a Senior Applied Scientist for Amazon SageMaker JumpStart and Amazon SageMaker built-in algorithms. He focuses on developing scalable machine learning algorithms. His research interest is in systems, high-performance computing, and big data analytics. He founded StylingAI Inc.,

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AWS Machine Learning Blog

APRIL 7, 2025

billion, representing a significant increase of approximately 223% over the 7-year period. ### Net Income Growth | Year | Net Income (in billion USD) | | | | | 2014 | 0.236 | | 2015 | 0.596 | | 2016 | 2.37 | | 2017 | 3.03 | | 2018 | 10.07 | | 2019 | 11.59 | | 2020 | 18.68 | | 2021 | 33.4 | | 2022 | 18.7 billion to a projected $574.78

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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. Algorithm Selection Amazon Forecast has six built-in algorithms ( ARIMA , ETS , NPTS , Prophet , DeepAR+ , CNN-QR ), which are clustered into two groups: statististical and deep/neural network.

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Smart Data Collective

APRIL 16, 2019

In 2015, there were barely 1 million Wix websites. Why Wix is the Best Big Data Based Website Platform. This means that Wix has lots of data on their servers, which makes their predictive analytics algorithms so much more valuable. Predictive analytics is solving these challenges. Today, that figure has grown.

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AWS Machine Learning Blog

DECEMBER 4, 2023

Established in 2015, Getir has positioned itself as the trailblazer in the sphere of ultrafast grocery delivery. His focus was building machine learning algorithms to simulate nervous network anomalies. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager.

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Smart Data Collective

JUNE 26, 2019

Data-related blind spots could also exist in your statistical models. RiskSpan is a company that built a machine learning algorithm that can flag error-prone parts of a statistical model and indicate which associated outputs may be unreliable. Get Rid of Blind Spots in Statistical Models With Machine Learning.

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AWS Machine Learning Blog

OCTOBER 23, 2024

Data retrieval and augmentation – When a query is initiated, the Vector Database Snap Pack retrieves relevant vectors from OpenSearch Service using similarity search algorithms to match the query with stored vectors. The retrieved vectors augment the initial query with context-specific enterprise data, enhancing its relevance.

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PyImageSearch

JANUARY 30, 2023

For example, they can scan test papers with the help of natural language processing (NLP) algorithms to detect correct answers and grade them accordingly. Figure 6: Changing demand for core work-related skills from 2015 to 2020 (source: IFC ). Task Automation AI software can easily handle repetitive, manual tasks (e.g.,

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Flipboard

NOVEMBER 24, 2023

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps.

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Pickl AI

FEBRUARY 14, 2023

Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai launched its meta framework on TensorFlow in 2015. Accordingly, products cater to real-time computation and control while storing big data and transmission. Artivatic.ai Artivatic.ai

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Snorkel AI

APRIL 11, 2023

I’m Cody Coleman and I’m really excited to share my research on how careful data selection can make ML development faster, cheaper, and better by focusing on quality rather than quantity. So we waste a lot of time, money, and just energy on data points that aren’t actually valuable. AB : Got it. Thank you.

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Snorkel AI

APRIL 11, 2023

I’m Cody Coleman and I’m really excited to share my research on how careful data selection can make ML development faster, cheaper, and better by focusing on quality rather than quantity. So we waste a lot of time, money, and just energy on data points that aren’t actually valuable. AB : Got it. Thank you.

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Snorkel AI

APRIL 11, 2023

I’m Cody Coleman and I’m really excited to share my research on how careful data selection can make ML development faster, cheaper, and better by focusing on quality rather than quantity. So we waste a lot of time, money, and just energy on data points that aren’t actually valuable. AB : Got it. Thank you.

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Towards AI

MAY 1, 2024

The Role of AI and Algorithms in Social Media In today’s fast-paced world, social media has become more than just a digital landscape. A Brief History of Algorithms and Their Increasing Use Cases in Social Media ‘An algorithm is a series of instructions designed to solve specific problems, perform tasks or make decisions’ [2].

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