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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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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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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Hacker News

MARCH 7, 2023

for the Central African Republic; ga for Gabon; gq for Equatorial Guinea; ml for Mali; and.tk In June 2015, ICANN suspended Freenom’s ability to create new domain names or initiate inbound transfers of domain names for 90 days. for Tokelau. ” ICANN has not yet responded to requests for comment.

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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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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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ML ML Data Pipeline AWS 92

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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AWS Machine Learning Blog

NOVEMBER 26, 2024

About the Authors Mithil Shah is a Principal AI/ML Solution Architect at Amazon Web Services. He helps commercial and public sector customers use AI/ML to achieve their business outcome. Santosh Kulkarni is an Senior Solutions Architect at Amazon Web Services specializing in AI/ML.

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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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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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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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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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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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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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Data Engineering Data Engineer Data Engineering Data Engineering 52

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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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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AWS Machine Learning Blog

JANUARY 13, 2023

It involves training a global machine learning (ML) model from distributed health data held locally at different sites. They were admitted to one of 335 units at 208 hospitals located throughout the US between 2014–2015. The eICU data is ideal for developing ML algorithms, decision support tools, and advancing clinical research.

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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

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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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.

Data Quality 52

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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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AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. At this event, SPIE member Light and Light-based Technologies (IYL 2015). The endorsement for a Day of Light has been embraced by SPIE and other founding partners of IYL 2015.

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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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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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ML Review

JUNE 4, 2018

Dense captioning and the lead up to attention mechanisms (circa 2015) Considerable improvements in bounding box detectors, such as RCNN, as well as the success of BiRNNs [ 77 ] in translation, produced another approach theoretically similar to the DMSM for sentence evaluation presented before. Source : Johnson et al. using Faster-RCNN[ 82 ].

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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

NOVEMBER 14, 2024

The traditional way to solve these problems is to use computer vision machine learning (ML) models to classify the damage and its severity and complement with regression models that predict numerical outcomes based on input features like the make and model of the car, damage severity, damaged part, and more.

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AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

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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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PyImageSearch

JULY 3, 2023

Figure 4: The Netflix personalized home page generation problem (source: Alvino and Basilico, “Learning a Personalized Homepage,” Netflix Technology Blog , 2015 ). Machine learning (ML) approaches can be used to learn utility functions by training it on historical data of which home pages have been created for members (i.e.,

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