Data Science Dojo

DECEMBER 8, 2023

In this approach, the algorithm learns patterns and relationships between input features and corresponding output labels. Traditional learning approaches Traditional machine learning predominantly relied on supervised learning, a process where models were trained using labeled datasets.

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Towards AI

APRIL 23, 2024

Neural Style Transfer (NST) was born in 2015 [2], slightly later than GAN. It is one of the first algorithms to combine images based on deep learning. However, generative models is not a new term and it has come a long way since Generative Adversarial Network (GAN) was published in 2014 [1].

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Dataconomy

OCTOBER 2, 2024

Kingma is best known for co-developing several groundbreaking techniques in AI, including the Adam optimizer , a widely-used optimization algorithm in deep learning, and Variational Autoencoders (VAE) , a type of generative model that enables unsupervised learning and has applications in image generation and other AI tasks.

Machine Learning 103

Machine Learning Machine Learning Natural Language Processing Deep Learning 103

Towards AI

JANUARY 10, 2024

From 2005 to 2015, I taught data science classes to groups within corporations. But the task of teaching data, syntax, algorithms, and applications within 1–3 days was daunting. I believe that I have two key differentiators in “Making AI & ML Accessible to All.” I was lucky that my participants were bright and motivated.

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Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. The researchers analyzed daily market data from nearly 1,700 cryptocurrencies that were sold between November 2015 and April 2018. The accuracy of these machine learning algorithms is also important.

Machine Learning 140

Machine Learning Machine Learning Predictive Analytics Algorithm 140

PyImageSearch

NOVEMBER 13, 2023

One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al. Since then, the R-CNN algorithm has gone through numerous iterations, improving the algorithm with each new publication and outperforming traditional object detection algorithms (e.g.,

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Towards AI

FEBRUARY 3, 2024

(Left) Photo by Pawel Czerwinski on Unsplash U+007C (Right) Unsplash Image adjusted by the showcased algorithm Introduction It’s been a while since I created this package ‘easy-explain’ and published on Pypi. A few weeks ago, I needed an explainability algorithm for a YoloV8 model. PLoS ONE 10(7), e0130140 (2015) [2] Montavon, G.,

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Smart Data Collective

APRIL 11, 2022

One study from Gartner found that it increased 270% between 2015 and 2019. use sophisticated AI algorithms to provide the best time tracking services. The more complex ones have AI algorithms that can identify less regular appointments, such as those that take place every other month. Tools like TimesheetKiller and Memory.ai

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Hacker News

AUGUST 7, 2024

The algorithms that determine Fitbit’s count Part of Fitbit’s challenge of getting from prototype to shippable product was software development. Instead, the device’s algorithms needed to determine what a step was and what was a different kind of motion—say, someone scratching their nose. Road noise was another big issue.

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Algorithm 173

Dataconomy

NOVEMBER 20, 2023

His work on the sequence-to-sequence learning algorithm and contributions to TensorFlow underscore his commitment to pushing AI’s boundaries. But, in 2015, he takes a leap of faith, leaving Google to co-found OpenAI. MIT Technology Review lauds him in 2015 as one of the 35 Innovators Under 35.

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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. The Amazon Forecast models were eventually selected for the algorithmic modeling segment.

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Towards AI

FEBRUARY 14, 2023

It involves using machine learning algorithms to generate new data based on existing data. Generative AI is a subset of artificial intelligence (AI) that involves using algorithms to create new data. Generative AI works by training algorithms on large datasets, which the algorithm can then use to generate new data.

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Dataconomy

NOVEMBER 6, 2024

in 2015, is a simple yet effective method for creating a smaller, more efficient model (the “student model”) by transferring knowledge from a pre-trained, larger model (the “teacher model”). We’ve made our model and algorithm code open-source, allowing for further research and development.

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Towards AI

JULY 15, 2023

Traditional methods for detecting fake accounts often rely on complex machine-learning algorithms. In this blog, I delve into the fascinating intersection of Benford’s Law and machine learning, exploring how this mathematical principle can be employed alongside advanced algorithms to expose and combat the presence of fake Twitter followers.

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Machine Learning Machine Learning Hypothesis Testing Algorithm 96

Smart Data Collective

JUNE 14, 2019

A number of new data algorithms are being used to make digital calendars more effective. Machine learning algorithms make it easier to plan your schedule, because they can help optimize your schedule. These big data algorithms make enable you to estimate the amount of time an event will take, based on experiences with similar events.

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Data Science Dojo

DECEMBER 8, 2023

In this approach, the algorithm learns patterns and relationships between input features and corresponding output labels. Traditional learning approaches Traditional machine learning predominantly relied on supervised learning, a process where models were trained using labeled datasets.

Supervised Learning 195

Supervised Learning Machine Learning Machine Learning Artificial Intelligence 195

Dataconomy

JULY 18, 2023

The Kilobot platform provides researchers with a practical means to study and experiment with swarm robotics algorithms and concepts. Swarm intelligence algorithms are typically decentralized, meaning that they do not require a central controller. In 2015, a swarm of robots was used to search for survivors after the Nepal earthquake.

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Towards AI

JULY 19, 2023

Basically crack is a visible entity and so image-based crack detection algorithms can be adapted for inspection. Deep learning algorithms can be applied to solving many challenging problems in image classification. Deep learning algorithms can be applied to solving many challenging problems in image classification. Yi, and J.-K.

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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., Understanding the robustness of image segmentation algorithms to adversarial attacks is critical for ensuring their reliability and security in practical applications.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Explosion

DECEMBER 17, 2013

This post explains how transition-based dependency parsers work, and argues that this algorithm represents a break-through in natural language understanding. In 2015 this type of parser is now increasingly dominant. A concise sample implementation is provided, in 500 lines of Python, with no external dependencies.

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Python Algorithm 40

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. Algorithm Selection Amazon Forecast has six built-in algorithms ( ARIMA , ETS , NPTS , Prophet , DeepAR+ , CNN-QR ), which are clustered into two groups: statististical and deep/neural network.

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Algorithm Data Scientist Machine Learning Machine Learning 82

Smart Data Collective

MARCH 24, 2020

According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. A selection of information sources, data acquisition procedures, information processing algorithms. Goal setting. Determining the purpose and objectives of the study. Data collection.

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Dataconomy

MAY 8, 2023

AI drawing generators use machine learning algorithms to produce artwork What is AI drawing? You might think of AI drawing as a generative art where the artist combines data and algorithms to create something completely new. But first, let’s take a closer look at what it is. NightCafe is paid for with credits.

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Artificial Intelligence Artificial Intelligence AI AI 194

AWS Machine Learning Blog

APRIL 25, 2024

The most common techniques used for extractive summarization are term frequency-inverse document frequency (TF-IDF), sentence scoring, text rank algorithm, and supervised machine learning (ML). Use the evaluation algorithm with either built-in or custom datasets to evaluate your LLM model.

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Flipboard

JANUARY 20, 2025

Anand, who began as an analyst in 2013, was promoted to assistant vice president in 2015. The existing algorithms were not efficient. A CDS is a financial instrument that lets investors swap or offset their credit risk with those from another investor.

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AWS Machine Learning Blog

OCTOBER 5, 2023

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. From 2015–2018, he worked as a program director at the US NSF in charge of its big data program. He founded StylingAI Inc.,

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AWS Machine Learning Machine Learning Deep Learning 121

Smart Data Collective

JUNE 26, 2019

RiskSpan is a company that built a machine learning algorithm that can flag error-prone parts of a statistical model and indicate which associated outputs may be unreliable. But if you suspect blind spots may be compromising the effectiveness of your statistical models, a custom-built machine learning algorithm could help reduce that issue.

Machine Learning 111

Machine Learning Machine Learning Algorithm Analytics 111

Smart Data Collective

APRIL 22, 2021

Brown University became the first college to use big data analytics in construction in 2015, and others soon followed. Some predictive analytics algorithms could even provide actionable insights based on this info, suggesting safety improvements teams would’ve otherwise missed. Budget Estimates.

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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. His focus was building machine learning algorithms to simulate nervous network anomalies. This is a guest post co-authored by Nafi Ahmet Turgut, Hasan Burak Yel, and Damla Şentürk from Getir.

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Hacker News

MAY 13, 2024

Constella finds the same password tied to webmaster@stairwell.ru (225948) was used by the email address 3k@xakep.ru , which Intel 471 says was registered to more than a dozen NeroWolfe accounts across just as many Russian cybercrime forums between 2011 and 2015. The algorithms used are AES + RSA.

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Algorithm 180

Dataconomy

MAY 10, 2023

Predictive analytics: Open source BI software can use algorithms and machine learning to analyze historical data and identify patterns that can be used to predict future trends and outcomes. Preset provides a fully hosted solution for Apache Superset, which was originally developed as a hackathon project at Airbnb in the summer of 2015.

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Business Intelligence Business Intelligence Power BI Data Analysis 178

Smart Data Collective

FEBRUARY 18, 2020

These companies use the widest array of big data and machine learning algorithms to deliver value to their user base. Back in 2015 for example, consumers rated live chat the highest compared to any other customer service touchpoint according to the latest Customer Service Benchmark results from Maru/Matchbox.

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Flipboard

JUNE 20, 2023

Rather than humans programming computers with specific step-by-step instructions on how to complete a task, in machine learning a human provides the AI with data and asks it to achieve a certain outcome via an algorithm. As a result, it opens the door for machines capable of performing many different tasks significantly better than humans.

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Hacker News

JANUARY 21, 2025

signals intelligence, notably intercepting and decrypting sensitive communications all over the world and devising machines and algorithms that protect U.S. That included the satellites, computer hardware, data-processing algorithms, communications and encryption protocols, broadcast channels, and end-user terminals.

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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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OpenAI

NOVEMBER 30, 2022

Sample 1 2 3 of 3   Previous   Next User Tell me about when Christopher Columbus came to the US in 2015 ChatGPT This question is a bit tricky because Christopher Columbus died in 1506, so he could not have come to the US in 2015. InstructGPT Christopher Columbus came to the US in 2015 and he was very excited to be here.

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Towards AI

JULY 23, 2023

In 2015, Andrew M. To perform this, extractive summarization methods like tf-idf, and text-rank algorithms have been used. Semi-Supervised Sequence Learning As we all know, supervised learning has a drawback, as it requires a huge labeled dataset to train. So, the authors have used a two-stage process, following what we do as humans.

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