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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Unite.AI

OCTOBER 12, 2023

However, the more innovative paper in my view, is a paper with the second-most citations, a 2011 paper titled “ Memory-Based Approximation of the Gaussian Mixture Model Framework for Bandwidth Extension of Narrowband Speech “ In that work, I proposed a new statistical modeling technique that incorporates temporal information in speech.

Machine Learning 278

Machine Learning Deep Learning Conversational AI Data Quality 278

NVIDIA

DECEMBER 13, 2023

The San Francisco-based company has completed more than 800,000 deliveries in seven countries since its start in 2011. You can pick the right place for your algorithms to run to make sure you’re getting the most out of the hardware and the power that you are putting into the system,” said Frantz.

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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. For example, Apple made Siri a feature of its iOS in 2011. In other words, traditional machine learning models need human intervention to process new information and perform any new task that falls outside their initial training.

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Viso.ai

FEBRUARY 11, 2024

The Need for Image Training Datasets To train the image classification algorithms we need image datasets. These datasets contain multiple images similar to those the algorithm will run in real life. The labels provide the Knowledge the algorithm can learn from. 2011 – A good ILSVRC image classification error rate is 25%.

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Marktechpost

SEPTEMBER 24, 2024

However, this work demonstrated that with sufficient data and computational resources, deep learning models can learn complex features through a general-purpose algorithm like backpropagation. Further, pre-training on the ImageNet Fall 2011 dataset, followed by fine-tuning, reduced the error to 15.3%.

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Viso.ai

JANUARY 16, 2024

Also, you can use N-shot learning models to label data samples with unknown classes and feed the new dataset to supervised learning algorithms for better training. The following algorithms combine the two approaches to solve the FSL problem. The diagram below illustrates the algorithm. Let’s discuss each in more detail.

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Neural Network Computer Vision Convolutional Neural Networks Algorithm 52

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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DataRobot Blog

MAY 10, 2022

It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively). Conclusion.

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Automation Machine Learning Data Quality Algorithm 64

Unite.AI

NOVEMBER 10, 2024

It uses natural language processing (NLP) algorithms to understand the context of conversations, meaning it's not just picking up random mentions! Brand24 was founded in 2011 and is based in Wrocław, Poland. It's smart enough to figure out if someone's actually talking about your brand or just mentioning something similar.

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Pickl AI

JULY 12, 2023

1. Matrix (1999-2011) “The Matrix” trilogy, directed by the Wachowski siblings, is a groundbreaking science fiction series that explores themes of reality, consciousness, and the power of data and information. 10 Best Data Science Movies you need to Watch!

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Ehud Reiter

APRIL 9, 2023

Back in 2010, Saad Mahamood (then a PhD student with me) developed an NLG system which summarised data about sick babies in neonatal intensive care for their parents ( Mahamood and Reiter 2011 ); this system was deployed and used in the hospital for a few years, and parents in general were very appreciative.

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ChatGPT Explainability Chatbots LLM 100

AWS Machine Learning Blog

SEPTEMBER 9, 2024

Customers using dynamic programming (DP) algorithms for applications like genome sequencing or accelerated data analytics can also see further benefit from P5e through support for the DPX instruction set. degree in Computer Science in 2011 from the University of Lille 1. He holds a M.E. degree from the University of Science and a Ph.D.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Challenges in FL You can address the following challenges using algorithms running at FL servers and clients in a common FL architecture: Data heterogeneity – FL clients’ local data can vary (i.e., Despite these challenges of FL algorithms, it is critical to build a secure architecture that provides end-to-end FL operations.

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AWS Machine Learning Blog

JULY 15, 2024

In our pipeline, we used Amazon Bedrock to develop a sentence shortening algorithm for automatic time scaling. Here’s the shortened sentence using the sentence shortening algorithm. She is also the recipient of the Best Paper Award at IEEE NetSoft 2016, IEEE ICC 2011, ONDM 2010, and IEEE GLOBECOM 2005. Cristian Torres is a Sr.

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AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). If you have a large dataset, the SageMaker KNN algorithm may provide you with an effective semantic search.

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Mlearning.ai

JULY 22, 2023

This approach allows Apple to effectively remove a number of privacy concerns by eliminating the need for extensive data sharing and having the algorithms operate locally on users’ devices. Siri launched back in 2011 and became the first modern virtual assistant of its kind.

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Viso.ai

MAY 31, 2024

Pascal VOC (which stands for Pattern Analysis, Statistical Modelling, and Computational Learning Visual Object Classes) is an open-source image dataset for a number of visual object recognition algorithms. As a result of Pascal VOC, researchers, and developers were able to compare various algorithms and methods on an entity basis.

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Computer Vision Convolutional Neural Networks Deep Learning Neural Network 52

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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Mlearning.ai

JULY 30, 2023

What we are looking for in these algorithms is to output a list of features along with corresponding importance values. Most feature-importance algorithms deal very well with dense and categorical features. We will cover very rudimentary methods, along with quite sophisticated algorithms. The dataset has 10 dense features.

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Python Categorization Machine Learning Explainability 52

Mlearning.ai

AUGUST 6, 2023

As described in the previous article , we want to forecast the energy consumption from August of 2013 to March of 2014 by training on data from November of 2011 to July of 2013. Experiments Before moving on to the experiments, let’s quickly remember what’s our task.

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AWS Machine Learning Blog

OCTOBER 23, 2023

Founded in 2011, Talent.com is one of the world’s largest sources of employment. The performance of Talent.com’s matching algorithm is paramount to the success of the business and a key contributor to their users’ experience.

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Sebastian Ruder

JULY 31, 2020

At a higher level, algorithms are biased and discriminate against speakers of non-English languages or simply with different accents. A classic example are n-gram language models, which perform significantly worse for languages with elaborate morphology and relatively free word order ( Bender, 2011 ).

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Lexalytics

APRIL 5, 2021

This would change in 1986 with the publication of “Parallel Distributed Processing” [ 6 ], which included a description of the backpropagation algorithm [ 7 ]. In retrospect, this algorithm seems obvious, and perhaps it was. We were definitely in a Kuhnian pre-paradigmatic period. It would not be the last time that happened.)

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Viso.ai

FEBRUARY 28, 2023

The OpenCV library contains over 2500 algorithms, extensive documentation, and sample code for real-time computer vision. Since 2011, OpenCV provides functionality for NVIDIA CUDA and Graphic Processing Unit (GPU) hardware acceleration and Open Computing Language (OpenCL). and fleeting them into one or multiple vision algorithms.

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AWS Machine Learning Blog

APRIL 6, 2023

We also demonstrate the performance of our state-of-the-art point cloud-based product lifecycle prediction algorithm. For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). We next calculated the MAPE for the actual sales values.

Machine Learning 100

Machine Learning ML Categorization Data Scientist 100

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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DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. While SR 11-7 is prescriptive in its guidance, one challenge that validators face today is adapting the guidelines to modern ML methods that have proliferated in the past few years.

Automation 52

Automation Machine Learning ML Explainability 52

Viso.ai

MARCH 1, 2023

The idea of low-code was introduced in 2011. Computer vision using the YOLOv7 algorithm – built with Viso Suite What is No Code? has been a leader in AI vision software to create custom computer vision and deep learning applications that process video feeds of numerous cameras in real-time with deployed AI algorithms.

Computer Vision 52

Computer Vision Software Development AI AI 52

Kavita Ganesan

MAY 24, 2022

And they may not fit in within your infrastructure, you may have an old infrastructure that can maybe take in basic computer algorithms, not something sophisticated that needs GPUs, and TPUs. So it’s only around 2013, 2011, where AI became a thing in the industry. And neural networks now has become deep learning.

AI 52

AI AI Neural Network Natural Language Processing 52

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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Python Algorithm NLP Computational Linguistics 45

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.

Algorithm 40

Algorithm Python 40

Artificial Corner

JUNE 6, 2023

Data mining involves using sophisticated algorithms to identify patterns and relationships in data that might not be immediately apparent. Its ability to efficiently handle iterative algorithms and machine learning tasks made it a popular choice for data scientists and engineers. Follow Now ? Connect with me on LinkedIn for updates.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Sebastian Ruder

OCTOBER 26, 2019

Cross-lingual learning in the transfer learning taxonomy ( Ruder, 2019 ) Methods from domain adaptation have also been applied to cross-lingual transfer ( Prettenhofer & Stein, 2011 , Wan et al., For a clearer distinction between domain adaptation and cross-lingual learning, have a look at this section. 2018 ; Hartmann et al.,

BERT 52

BERT NLP Neural Network Natural Language Processing 52

Topbots

JUNE 22, 2023

Outperforming algorithmic trading reinforcement learning systems: A supervised approach to the cryptocurrency market. Journal of Finance (2011), 66(1):35–65. Proceedings of the Second ACM International Conference on AI in Finance (ICAIF ‘21). Felizardo, L. Lima Paiva, F. de Vita Graves, C.; Matsumoto, E. Del-Moral-Hernandez, E.;

Machine Learning 107

Machine Learning ChatGPT Natural Language Processing Categorization 107

Hal Daumé III

NOVEMBER 8, 2016

These three are: data collection objective function feedback loops Sample Selection Bias The standard way that machine learning works is to take some samples from a population you care about, run it through a machine learning algorithm, to produce a predictor. Also a highly recommended read.

ML 52

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Sebastian Ruder

NOVEMBER 14, 2022

Bender [2] highlighted the need for language independence in 2011. We can modify the algorithm to prefer tokens that are shared across many languages [146] , preserve tokens’ morphological structure [147] , or make the tokenization algorithm more robust to deal with erroneous segmentations [148]. 21–30).

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