Iguazio

MARCH 1, 2024

With ML, manufacturers can modernize their businesses through use cases like forecasting demand, optimizing scheduling, preventing malfunctioning and managing quality. How can manufacturers develop, grow and optimize their use of data and ML? The dataset’s base year is 2015 and depicts monthly growth rates.

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IBM Journey to AI blog

APRIL 18, 2023

At this year’s National Association of Broadcasters (NAB) convention, the IBM sports and entertainment team accepted an Emmy® Award for its advancements in curating sports highlights through artificial intelligence (AI) and machine learning (ML). How did this come about?

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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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Defined.ai blog

JANUARY 30, 2023

Less than three years after our founding in August 2015, I’m beyond proud to announce the closing of an $11.8 In January, we publicly unveiled our SaaS platform , which helps data scientists collect, enrich, and structure data to train AI and ML models. Big news here at DefinedCrowd this week! It’s been a big year for us so far.

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Dataconomy

JULY 17, 2023

Established in 2015, the company has garnered recognition in the industry through its impressive portfolio, showcasing the expertise of its software professionals across varied verticals. With their expertise in technologies like AI, ML, computer vision, and big data, they deliver innovative and connected solutions for various industries.

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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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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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Iguazio

SEPTEMBER 20, 2023

Twitter US Airline Sentiment Polarized Tweets from February 2015 about the large US airlines. 20 Newsgroups A dataset containing roughly 20,000 newsgroup documents spanning a variety of topics, for text classification, text clustering and similar ML applications. Get the dataset here. Data is provided in a CSV file and SQLite database.

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Towards AI

FEBRUARY 27, 2024

Looking ahead, it has served the ML community a lot while building different Natural Language Understanding tools and models as a high-quality curated corpus of information. The open-source movement gained hold with the rise of the Internet, and it has since grown into a vibrant scene with many contributors and projects.

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Towards AI

APRIL 19, 2024

OpenAI 👉Industry domain: AI technologies, Machine learning, deep learning, Reinforcement learning, NLP 👉Location: Headquartered in San Francisco, USA 👉Year founded: 2015 👉Key products developed: GPT 4, Chat GPT, DALL-E 3, Sora 👉Benefits: Adequately funded and innovative company, general availability of APIs and (..)

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ML Review

FEBRUARY 26, 2018

Launched in July 2015, AliMe is an IHCI-based shopping guide and assistant for e-commerce that overhauls traditional services, and improves the online user experience. In Proceedings of ICLR 2015 [4] Matthew Henderson. During 2017’s Double 11 shopping festival, AliMe successfully responded to 9.04 5] Mnih V, Badia A P, Mirza M, et al.

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IBM Journey to AI blog

FEBRUARY 7, 2024

Sustainable technology: New ways to do more With a boom in artificial intelligence (AI) , machine learning (ML) and a host of other advanced technologies, 2024 is poised to the be the year for tech-driven sustainability. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

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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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ML Review

MARCH 31, 2019

Source: Explaining and Harnessing Adversarial Examples , Goodfellow et al, ICLR 2015. Source: Explaining and Harnessing Adversarial Examples , Goodfellow et al, ICLR 2015. Explaining and Harnessing Adversarial Examples , Goodfellow et al, ICLR 2015. Let’s look at an example. confidence. confidence! Kurakin et al, ICLR 2017.

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Heartbeat

APRIL 23, 2023

SpaCy is a popular open-source NLP library developed in 2015 by Matthew Honnibal and Ines Montani, the founders of the software company Explosion. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Mlearning.ai

FEBRUARY 18, 2024

Source : COCO Released by Microsoft in 2015, the MS COCO dataset is a comprehensive collection crafted for tasks such as object detection, image segmentation, and captioning.

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Mlearning.ai

DECEMBER 28, 2023

First staged in 2015, the story follows Hillary, a researcher in a brain institute, who has faith in God and an obsession with goodness of human beings. Source : [link] One of the finest pieces of contemporary fiction, that I have read, on the issue of consciousness is the play ‘ The Hard Problem ’ by Tom Stoppard.

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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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Heartbeat

AUGUST 21, 2023

ResNet is a deep CNN architecture developed by Kaiming He and his colleagues at Microsoft Research in 2015. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Mlearning.ai

MARCH 28, 2023

Figure 2 For the binary case where there are 2 symbols with probability p and 1-p, the entropy is less than or equal to 1 and has a maximum at p=0.5 Submission Suggestions A Short Introduction to Information was originally published in MLearning.ai

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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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Mlearning.ai

AUGUST 7, 2023

" which premiered in 2015 or an SNL parody from 2019 (which adds narration not present in the Wes Anderson films but featured in many subsequent AI-powered trailers). Ward may also misconceive artists.

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Mlearning.ai

JUNE 16, 2023

ML practitioners, believing they had to match the sheer size of ImageNet, refrained from pre-training with much smaller available medical image datasets, let alone developing new ones. December 14, 2015. April 14, 2015. January 29, 2015. References [1] Dai, Jifeng, Kaiming He, and Jian Sun. December 10, 2016.

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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. We capitalized on the powerful tools provided by AWS to tackle this challenge and effectively navigate the complex field of machine learning (ML) and predictive analytics. SageMaker is a fully managed ML service.

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Mlearning.ai

APRIL 25, 2023

The plot shows that there has been a steady increase in the number of titles added each year, with a notable jump in 2015. Further Analysis From the first plot, we can see the frequency of content added by Netflix from 2008 to 2021. From the second plot, we can see the top 20 genres that have been added by Netflix from 2008 to 2021.

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DrivenData Labs

SEPTEMBER 10, 2024

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. Pablo Arbeláez is a distinguished researcher with over 20 years of experience using AI/ML in medicine, biology, and computer vision.

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IBM Journey to AI blog

NOVEMBER 13, 2023

In 2015, Google donated Kubernetes as a seed technology to the Cloud Native Computing Foundation (CNCF) (link resides outside ibm.com), the open-source, vendor-neutral hub of cloud-native computing. And Kubernetes can scale ML workloads up or down to meet user demands, adjust resource usage and control costs.

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Mlearning.ai

MARCH 9, 2023

2015; Huang et al., 2015), which consists of 20 object categories with varying levels of complexity. 2015) to generate adversarial examples for each image. Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al.,

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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. For example, in the healthcare industry, ML-driven analytics can be used for diagnostic assistance and personalized medicine, while in health insurance, it can be used for predictive care management.

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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. In addition, ‘off the shelf’ Generative AI models are constrained in their ability to meet niche industry use cases.

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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. In addition, ‘off the shelf’ Generative AI models are constrained in their ability to meet niche industry use cases.

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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. In addition, ‘off the shelf’ Generative AI models are constrained in their ability to meet niche industry use cases.

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Flipboard

SEPTEMBER 4, 2023

Envision yourself as an ML Engineer at one of the world’s largest companies. You make a Machine Learning (ML) pipeline that does everything, from gathering and preparing data to making predictions. We guide you through setting up Docker on your system, explaining its significance in ML. Citation Information Mukherjee, S.

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AWS Machine Learning Blog

AUGUST 11, 2023

Natural language processing (NLP) is the field in machine learning (ML) concerned with giving computers the ability to understand text and spoken words in the same way as human beings can. SageMaker JumpStart solution templates are one-click, end-to-end solutions for many common ML use cases.

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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. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. 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. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. 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. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. The last few years have been something of a scaling journey.

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