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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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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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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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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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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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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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

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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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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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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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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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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Heartbeat

DECEMBER 14, 2023

Williams, Hinton was co-author of a highly cited paper published in 1986 that popularised the backpropagation algorithm for training multi-layer neural networks, although they were not the first to propose the approach. Hinton is viewed as a leading figure in the deep learning community.

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Pickl AI

APRIL 28, 2023

With more than 650% growth since 2012, Data Science has emerged as one of the most sought-after technologies. With the new developments in this domain, Data Science presents a picture of futuristic technology. At the same time, it has also emerged as one of the highest-paying job profiles.

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IBM Journey to AI blog

JULY 19, 2023

in 10 years, from 2012 to 2022. In a nod to the growing usage of Machine learning in life sciences, FDA has now cleared more than 500 medical algorithms that are commercially available in the United States. More than half of algorithms on the U.S. Business Value As per FAERS database , the number of reported AEs has grown 2.5x

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Dataconomy

AUGUST 10, 2023

With the application of natural language processing (NLP) and machine learning algorithms, AI systems can understand and translate spoken language into written notes. It can also help with retrieving information from electronic health records (EHRs) and other tasks to alleviate administrative burdens. Can AI write medical notes?

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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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Heartbeat

DECEMBER 8, 2023

This includes cleaning and transforming data, performing calculations, or applying machine learning algorithms. Williams, Hinton was co-author of a highly cited paper published in 1986 that popularised the backpropagation algorithm for training multi-layer neural networks, although they were not the first to propose the approach.

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Snorkel AI

APRIL 25, 2023

What kind of algorithms are you using to run your models? This plot, which is effectively looking from 2012 to 2021, is showing that we have invested a huge amount of effort in improving the models in the ML context. And algorithms. When we talk about algorithms, there are many different ways to slice this.

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Snorkel AI

APRIL 25, 2023

What kind of algorithms are you using to run your models? This plot, which is effectively looking from 2012 to 2021, is showing that we have invested a huge amount of effort in improving the models in the ML context. And algorithms. When we talk about algorithms, there are many different ways to slice this.

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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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AWS Machine Learning Blog

AUGUST 4, 2023

Although we use a specific algorithm to train the model in our example, you can use any algorithm that you find appropriate for your use case. For more information about this process, refer to New — Introducing Support for Real-Time and Batch Inference in Amazon SageMaker Data Wrangler.

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Snorkel AI

FEBRUARY 6, 2024

If you think about simple ingredients in the “cooking show” of AI—models, algorithms, and data—a lot of the models and algorithms have gotten a lot more black box; a lot more commoditized; frankly, available in the most positive sense. I like that highlight—it’s not just about a fancy fine-tuning algorithm.

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Snorkel AI

FEBRUARY 6, 2024

If you think about simple ingredients in the “cooking show” of AI—models, algorithms, and data—a lot of the models and algorithms have gotten a lot more black box; a lot more commoditized; frankly, available in the most positive sense. I like that highlight—it’s not just about a fancy fine-tuning algorithm.

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Flipboard

MARCH 18, 2023

Some of his early published work on the question, from 2011 and 2012, raises questions about what shape those models will take, and how hard it would be to make developing them go well — all of which will only look more important with a decade of hindsight.

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Flipboard

JULY 31, 2023

Algorithms are important and require expert knowledge to develop and refine, but they would be useless without data. These datasets, essentially large collections of related information, act as the training field for machine learning algorithms. This involves feeding the images and their corresponding labels into an algorithm (e.g.,

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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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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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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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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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AWS Machine Learning Blog

MAY 5, 2023

By uploading a small set of training images, Amazon Rekognition automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics. join(", "), }; }).catch((error)

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AssemblyAI

AUGUST 15, 2023

**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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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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DataRobot Blog

APRIL 4, 2022

Combined with ML algorithm that can discover non-linear relationships out of the box (e.g., This task is essentially automated by the algorithm itself. Originating in game theory, there is a reason why Shapley Value earned Lloyd Shapley a Nobel Prize in 2012. Breakthrough #3: ML algorithms’ complexity.

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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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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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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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