The MLOps Blog

DECEMBER 28, 2022

The onset of the pandemic has triggered a rapid increase in the demand and adoption of ML technology. Building ML team Following the surge in ML use cases that have the potential to transform business, the leaders are making a significant investment in ML collaboration, building teams that can deliver the promise of machine learning.

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Data Science Dojo

JANUARY 18, 2023

This makes them susceptible to exploitation from expensive moneylenders or loan sharks in the informal financial sector. AI and machine learning algorithms however can reduce this discrepancy.

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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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Google Research AI blog

FEBRUARY 2, 2023

Great machine learning (ML) research requires great systems. With the increasing sophistication of the algorithms and hardware in use today and with the scale at which they run, the complexity of the software necessary to carry out day-to-day tasks only increases. You can find other posts in the series here.)

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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.

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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 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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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.” Standard algorithms aren’t designed for this scenario.

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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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Dataconomy

OCTOBER 3, 2023

Using sophisticated AI algorithms, said to be reminiscent of the intricate workings of the human mind, Deep Art channels the genius of iconic artists like Vincent Van Gogh, Leonardo da Vinci, Michelangelo, and Picasso, transforming everyday photos into captivating art pieces. Who’s the brain behind deepfakes? Can AI spot deepfakes?

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. NLP algorithms help computers understand, interpret, and generate natural language.

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AWS Machine Learning Blog

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. Recommendation model using NCF NCF is an algorithm based on a paper presented at the International World Wide Web Conference in 2017.

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Defined.ai blog

JANUARY 29, 2023

Generative Adversarial Networks (GANs) are a type of deep learning algorithm that’s been gaining popularity due to their ability to generate high-quality, realistic images and other types of data. 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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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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Heartbeat

MARCH 14, 2023

By incorporating computer vision methods and algorithms into robots, they are able to view and understand their environment. Object recognition and tracking algorithms include the CamShift algorithm , Kalman filter , and Particle filter , among others.

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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., million YouTube advertisements.

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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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Iguazio

DECEMBER 5, 2023

Successfully training AI and ML models relies not only on large quantities of data, but also on the quality of their annotations. Human annotation helps advance ML and AI model training and evaluation. By providing the ground truth for models, algorithms can understand patterns and make better predictions on new, unseen data.

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Applied Data Science

JANUARY 4, 2022

Transformers taking the AI world by storm The family of artificial neural networks (ANNs) saw a new member being born in 2017, the Transformer. The immense computational complexity of recent algorithms has forced their creators to train them only a handful of times, in many cases just once. But what does this mean in practice?

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DrivenData Labs

JULY 19, 2023

These are applied problems where public, private, and social sector organizations are actively investing to develop better algorithmic solutions. Machine learning algorithms are becoming critical to scaling these mapping efforts by learning to use aerial imagery to automatically create building footprints.

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AWS Machine Learning Blog

AUGUST 16, 2023

Training machine learning (ML) models to interpret this data, however, is bottlenecked by costly and time-consuming human annotation efforts. Our solution is based on the DINO algorithm and uses the SageMaker distributed data parallel library (SMDDP) to split the data over multiple GPU instances. tif" --include "_B03.tif"

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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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O'Reilly Media

APRIL 23, 2024

Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?

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Dataconomy

APRIL 4, 2024

In 2017, some researchers published a seminal paper called, “Attention is all you need.” If you feed an algorithm enough English and French text, it can figure out how to translate from one to another by understanding the relationships between the words of each language. An early use for this was translation. Costs dropped.

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PyImageSearch

JULY 3, 2023

Figure 1: Netflix Recommendation System (source: “Netflix Film Recommendation Algorithm,” Pinterest ). Netflix recommendations are not just one algorithm but a collection of various state-of-the-art algorithms that serve different purposes to create the complete Netflix experience.

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ML Review

MARCH 31, 2019

Up to this point, machine learning algorithms simply didn’t work well enough for anyone to be surprised when it failed to do the right thing. Kurakin et al, ICLR 2017. On the applied side, no one has yet designed a truly powerful defense algorithm that can resist a wide variety of adversarial example attack algorithms.”

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Applied Data Science

MARCH 11, 2022

Then, we will look at three recent research projects that gamified existing algorithms by converting them from single-agent to multi-agent: ?️‍♀️ All the rage was about algorithms for classification. Rahimi and Recht In last year’s ICRL, researchers presented an algorithm that offered a new perspective on PCA: EigenGame.

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Flipboard

NOVEMBER 24, 2023

The humble beginnings with Iris In 2017, SnapLogic unveiled Iris, an industry-first AI-powered integration assistant. Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. Clay Elmore is an AI/ML Specialist Solutions Architect at AWS.

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Ocean Protocol

MARCH 10, 2023

Ocean Foundations Ocean Protocol was launched in 2017 with a whitepaper and a promise: to create the building blocks and tools to unleash an open, permissionless and secure data economy. Overview Team Thresher’s aim is to help data scientists make $ from their data and algorithms on Ocean. They love algorithms. Introduction 2.1.

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ML Review

MAY 3, 2018

In Deep Learning: Practice and Trends (NIPS 2017) [2] , prominent researchers offered a simple abstraction — that virtually all deep learning approaches can be characterised as either augmenting architectures or loss functions, or applying the previous to new input/output combinations. Thus the algorithm is alignment-free.

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Heartbeat

JULY 24, 2023

This algorithm also does tissue chopping to remove computational complexities. This particular algorithm is not restricted to human anatomy. 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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DrivenData Labs

DECEMBER 11, 2024

The existence of better dataand in cases like ChatGPT, simply more datahas led to new ways to find patterns across populations, powering algorithms from cancer detection to your Spotify recommendations. This was a clear case where relying on an algorithm without appropriate human review had an unacceptably high human cost.

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Ocean Protocol

MAY 24, 2024

The challenge required a detailed analysis of Google Trends data, integration of additional data sources, and the application of advanced ML methods to predict market behaviors. Participants demonstrated outstanding abilities in utilizing ML and data analysis to probe and predict movements within the cryptocurrency market.

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Mlearning.ai

APRIL 10, 2023

3 feature visual representation of a K-means Algorithm. Essentially, the clustering algorithm is grouping data points together without any prior knowledge or guidance to discover hidden patterns or unusual data groupings without the need for human interference. 4, center_box=(20, 5)) model = OPTICS().fit(x)

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Google Research AI blog

JANUARY 18, 2023

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. A key research question is whether ML models can learn to solve complex problems using multi-step reasoning. Let’s get started!

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Heartbeat

DECEMBER 4, 2023

The challenges and successes involved in bringing AI to your palm Photo by Neil Soni on Unsplash The proliferation of machine learning and deep learning algorithms has been ubiquitous and has not left any device with an ounce of processing power behind, even our smartphones. arXiv preprint arXiv:1704.04861 (2017).

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ML Review

JUNE 4, 2018

2017)[ 51 ] Introduction to Image Captioning Suppose that we asked you to caption an image; that is to describe the image using a sentence. Finally, one can use a sentence similarity evaluation metric to evaluate the algorithm. One such evaluation metric is the Bilingual Evaluation Understudy algorithm, or BLEU score.

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