Viso.ai

FEBRUARY 28, 2023

The OpenCV library contains over 2500 algorithms, extensive documentation, and sample code for real-time computer vision. Because machine learning is essential in computer vision, OpenCV contains a complete, general-purpose ML Library focused on statistical pattern recognition and clustering.

Computer Vision 52

Computer Vision Algorithm Automation Deep Learning 52

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. With most ML use cases moving to deep learning, models’ opacity has increased significantly. Most feature-importance algorithms deal very well with dense and categorical features.

Python 52

Python Categorization Machine Learning Explainability 52

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 86

Machine Learning ML Categorization Data Scientist 86

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 ML Machine Learning Explainability 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. And neural networks now has become deep learning. So it’s only around 2013, 2011, where AI became a thing in the industry.

AI 52

AI AI Neural Network Natural Language Processing 52

Unite.AI

JUNE 22, 2023

Two years later, in 2011, I co-founded Crashlytics, a mobile crash reporting tool which was acquired by Twitter in 2013 and then again by Google in 2017. Can you discuss the types of machine learning algorithms that are used? We were acquired by Box in 2009.

Large Language Models 325

Large Language Models Machine Learning ChatGPT Deep Learning 325

AWS Machine Learning Blog

OCTOBER 23, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Founded in 2011, Talent.com is one of the world’s largest sources of employment. It’s designed to significantly speed up deep learning model training. The model is replicated on every GPU.

NLP 100

NLP Deep Learning Machine Learning Natural Language Processing 100

Viso.ai

MAY 31, 2024

Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. As a result of Pascal VOC, researchers, and developers were able to compare various algorithms and methods on an entity basis. Get a demo here.

Computer Vision 52

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 52

AWS Machine Learning Blog

SEPTEMBER 9, 2024

To address customer needs for high performance and scalability in deep learning, generative AI, and HPC workloads, we are happy to announce the general availability of Amazon Elastic Compute Cloud (Amazon EC2) P5e instances, powered by NVIDIA H200 Tensor Core GPUs. degree in Computer Science in 2011 from the University of Lille 1.

Deep Learning 100

Deep Learning ML Machine Learning Natural Language Processing 100

IBM Journey to AI blog

OCTOBER 12, 2023

These models rely on learning algorithms that are developed and maintained by data scientists. 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. For example, Apple made Siri a feature of its iOS in 2011.

Artificial Intelligence 241

Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 241

AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets. If you want to customize the aggregation algorithm, you need to modify the fedAvg() function and the output.

ML 104

ML Algorithm Machine Learning Neural Network 104

Lexalytics

APRIL 5, 2021

They were not wrong: the results they found about the limitations of perceptrons still apply even to the more sophisticated deep-learning networks of today. This would change in 1986 with the publication of “Parallel Distributed Processing” [ 6 ], which included a description of the backpropagation algorithm [ 7 ].

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Mlearning.ai

JUNE 5, 2023

Many Libraries: Python has many libraries and frameworks (We will be looking some of them below) that provide ready-made solutions for common computer vision tasks, such as image processing, face detection, object recognition, and deep learning. It is a fork of the Python Imaging Library (PIL), which was discontinued in 2011.

Computer Vision 52

Computer Vision Deep Learning Python Neural Network 52

Sebastian Ruder

NOVEMBER 14, 2022

This post is partially based on a keynote I gave at the Deep Learning Indaba 2022. Bender [2] highlighted the need for language independence in 2011. The Deep Learning Indaba 2022 in Tunesia. I've tried to cover as many contributions as possible but undoubtedly missed relevant work. ↩︎ Ruder, S.,

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 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

Explosion

MARCH 17, 2019

It’s widely used in production and research systems for extracting information from text, developing smarter user-facing features, and preprocessing text for deep learning. In 2011, deep learning methods were proving successful for NLP, and techniques for pretraining word representations were already in use.

NLP 52

NLP Python Neural Network Natural Language Processing 52

AWS Machine Learning Blog

APRIL 19, 2023

We use Amazon SageMaker to train a model using the built-in XGBoost algorithm on aggregated features created from historical transactions. It’s easy to learn Flink if you have ever worked with a database or SQL-like system by remaining ANSI-SQL 2011 compliant.

ML 80

ML Data Scientist Big Data Machine Learning 80

Viso.ai

JANUARY 16, 2024

Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. The AI community categorizes N-shot approaches into few, one, and zero-shot learning. The diagram below illustrates the algorithm. Get a demo here.

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Algorithm 52

ML Review

MAY 3, 2018

Much the same way we iterate, link and update concepts through whatever modality of input our brain takes — multi-modal approaches in deep learning are coming to the fore. While an oversimplification, the generalisability of current deep learning approaches is impressive.

Neural Network 52

Neural Network Computer Vision Deep Learning Convolutional Neural Networks 52