AWS Machine Learning Blog

NOVEMBER 9, 2023

We build a model to predict the severity (benign or malignant) of a mammographic mass lesion trained with the XGBoost algorithm using the publicly available UCI Mammography Mass dataset and deploy it using the MLOps framework. The full instructions with code are available in the GitHub repository.

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Data Science Dojo

JANUARY 23, 2023

Fast-forward; year: 2012. Thus, one thing led to another, and soon enough, I was practicing algorithms and data-structures, learning about the basic “trouble-trio” of web-development–i.e., But our instructor couldn’t really teach us about interpretive methods, ethnography, and qualitative interviewing etc., And I did, but grudgingly.

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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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Smart Data Collective

SEPTEMBER 17, 2020

One new feature is the ability to create a radius, which wouldn’t be possible without the highly refined data mining and analytics features embedded in the core of the Google Maps algorithm. In 2012, Google boasted about its capabilities of using big data to create storytelling via interactive maps.

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AssemblyAI

JUNE 3, 2024

**Improving CPython's performance** Guido initially coded CPython simply and efficiently, but over time more optimized algorithms were developed to improve performance. The example of prime number checking illustrates the time-space tradeoff in algorithms. **The However, over time these modules became outdated.

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Towards AI

FEBRUARY 18, 2024

This historical sales data covers sales information from 2010–02–05 to 2012–11–01. The main goal of the algorithm is to infer the expected effect a given intervention (or any action) had on some response variable by analyzing differences between expected and observed time series data.

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O'Reilly Media

SEPTEMBER 19, 2023

And it (wisely) stuck to implementations of industry-standard algorithms. A common audience question was “can Hadoop run [my arbitrary analysis job or home-grown algorithm]?” Those algorithms packaged with scikit-learn? Other groups have tested evolutionary algorithms in drug discovery.

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Towards AI

FEBRUARY 10, 2023

The term “artificial intelligence” may evoke the ideas of algorithms and data, but it is powered by the rare earth’s minerals and resources that make up the computing components [1]. The cloud, which consists of vast machines, is arguably the backbone of the AI industry. By comparison, Moore’s Law had a 2-year doubling period.

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phData

MAY 17, 2024

The forecasting algorithm uses gradient boosting to model data and the rolling average of historical data to help predict trends. This low-code solution lets you use your existing Snowflake data and easily create a visualization to predict the future of your sales, taking into account unlimited data points.

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ODSC - Open Data Science

FEBRUARY 28, 2023

Improving Operations and Infrastructure Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users. Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

of persons present’ for the sustainability committee meeting held on 5th April, 2012? Dr. 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. WASHINGTON, D. 20036 1128 SIXTEENTH ST., WASHINGTON, D.

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Flipboard

FEBRUARY 5, 2023

It’s a nudge from Duolingo , the popular language-learning app, whose algorithms know you’re most likely to do your 5 minutes of Spanish practice at this time of day. And Duolingo uses the resulting predictions in its session-generator algorithm to dynamically select new exercises for the next lesson.

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Dataconomy

NOVEMBER 1, 2023

Founded in 2012 by CEO Sean Lane and CTO Jeremy Yoder, the company was headquartered in Columbus, Ohio. By utilizing machine learning and AI algorithms, Olive aimed to improve the speed and accuracy of these processes, ultimately saving time and resources for healthcare organizations.

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AWS Machine Learning Blog

AUGUST 22, 2023

Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. Flower has an extensive implementation of FL averaging algorithms and a robust communication stack. Flower is open-sourced under Apache 2.0

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Hacker News

MAY 13, 2024

Pin was active on Opensc around March 2012, and authored 13 posts that mostly concerned data encryption issues, or how to fix bugs in code. But now, temporarily, until the service is fully automated, we are working using a different algorithm.” The algorithms used are AES + RSA.

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AWS Machine Learning Blog

JUNE 21, 2024

These can be added as inline policies in the user’s IAM role: { "Version": "2012-10-17", "Statement": [ { "Action": "s3:*", "Effect": "Deny", "Resource": [ "arn:aws:s3:::jumpstart-cache-prod- ", "arn:aws:s3:::jumpstart-cache-prod- /*" ], "Condition": { "StringNotLike": {"s3:prefix": ["*.ipynb",

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Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., 2012; Otsu, 1979; Long et al., The MBD algorithm then searches for a subset of nodes (i.e., 2018; Sitawarin et al., 2015; Huang et al., In addition, Zhang et al.

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Dataconomy

FEBRUARY 12, 2024

It encompasses the creation and implementation of algorithms, models, and systems that are not only efficient but also environmentally benign and sustainable. months since 2012. This concept embodies the integration of AI technology to diminish the ecological footprint left by human endeavors.

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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: ?️‍♀️ Back in 2012 things were quite different. All the rage was about algorithms for classification. ‍♀️ Data generation as a game —  Generative Adversarial Networks ?

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Dataconomy

JUNE 15, 2023

Aristotle’s ideas on logic and rationality have influenced the development of algorithms and reasoning systems in modern AI, creating the foundation of the timeline of artificial intelligence. Another significant milestone came in 2012 when Google X’s AI successfully identified cats in videos using over 16,000 processors.

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Pickl AI

DECEMBER 14, 2023

650% growth in the data domain since 2012. The Big Data market is expected to be worth $103 billion by 2027. Linear Algebra Vectors and Matrices Linear algebra facilitates the representation and manipulation of multi-dimensional data, which is fundamental in Machine Learning algorithms. There will be around 11.5

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DataRobot

NOVEMBER 12, 2021

DataRobot was founded in 2012 and today is one of the most widely deployed and proven AI platforms in the market, delivering over a trillion predictions for leading companies around the world. AI Consumers: The internal and external parties that consume the model’s output. Next, we assess and educate.

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Data Science Dojo

JUNE 27, 2024

2012 ; Norman-Haignere et al., A quick glance at Suno AI The algorithms craft melodies and harmonies that align with the users’ input information. Moreover, the music contains harmonies and melodies from different instruments, creating complex structures. Since human listeners are highly sensitive to disharmony [ Fedorenko et al.,

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Pickl AI

JULY 24, 2024

Turing proposed the concept of a “universal machine,” capable of simulating any algorithmic process. The development of LISP by John McCarthy became the programming language of choice for AI research, enabling the creation of more sophisticated algorithms. Simon, demonstrated the ability to prove mathematical theorems.

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Heartbeat

OCTOBER 9, 2023

Computer vision algorithms can reconstruct a highly detailed 3D model by photographing objects from different perspectives. But computer vision algorithms can assist us in digitally scanning and preserving these priceless manuscripts. These ground-breaking areas redefine how we connect with and learn from our collective past.

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Hacker News

SEPTEMBER 24, 2021

For example, in 2012. The gap between what's happened in practice and what theory predicts might mean that there are still undiscovered algorithmic improvements that could greatly improve the efficiency of deep learning. Here, we will only discuss image classification in detail, but the lessons apply broadly.

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Iguazio

AUGUST 3, 2023

The contributors recommend using algorithms like Apriori Algorithm to analyze the Market Basket Analysis. While this data is not fresh, it is from 2010-2012, we added it to the list because of the holiday sales data that can be used and could still be relevant. Get the dataset here. Get the retail dataset for analytics here.

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ODSC - Open Data Science

JUNE 8, 2023

Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users. Taipy brings to bear the experience of veteran data scientists and bridges the gap between data dashboards and full AI applications.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

in 2012 is now widely referred to as ML’s “Cambrian Explosion.” This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously. In FSI, non-time series workloads are also underpinned by algorithms that can be parallelized.

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Hacker News

JANUARY 9, 2024

Sometimes it’s a story of creating a superalgorithm that encapsulates decades of algorithmic development. And in 2012 we introduced Quantity to represent quantities with units in the Wolfram Language. Talking of speedups, another example—made possible by new algorithms operating on multithreaded CPUs—concerns polynomials.

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DataRobot

MAY 5, 2021

A recent visitor to our podcast, Robert left Netflix in 2012 to become something of a serial tech founder. It has had a checkered history in that realm: Amazon famously developed a recruiting algorithm that excluded women, a project the company later scrapped. It starts automatically. But Robert still sees potential. “AI

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IBM Journey to AI blog

OCTOBER 12, 2023

These models rely on learning algorithms that are developed and maintained by data scientists. However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information.

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Mlearning.ai

JUNE 14, 2023

YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1) Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube

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Hacker News

DECEMBER 4, 2023

I wrote about this in 2012 in a book called Liars and Outliers. Now it’s all done algorithmically, and you have many more options to choose from. The system isn’t perfect—there are always going to be untrustworthy people—but most of us being trustworthy most of the time is good enough.

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The MLOps Blog

NOVEMBER 30, 2022

These days enterprises are sitting on a pool of data and increasingly employing machine learning and deep learning algorithms to forecast sales, predict customer churn and fraud detection, etc., Data science practitioners experiment with algorithms, data, and hyperparameters to develop a model that generates business insights.

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Explosion

DECEMBER 17, 2013

Today, almost all high-performance parsers are using a variant of the algorithm described below (including spaCy). This doesn’t just give us a likely advantage in learnability; it can have deep algorithmic implications. But the parsing algorithm I’ll be explaining deals with projective trees.

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Explosion

FEBRUARY 18, 2015

The short story is, there are no new killer algorithms. The way that the tokenizer works is novel and a bit neat, and the parser has a new feature set, but otherwise the key algorithms are well known in the recent literature. Dependency Parser The parser uses the algorithm described in my 2014 blog post. 0.2%) difference.

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