AWS Machine Learning Blog

NOVEMBER 15, 2024

of persons present’ for the sustainability committee meeting held on 5th April, 2012? His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. WASHINGTON, D. 20036 1128 SIXTEENTH ST.,

Auto-complete 118

Auto-complete ML Python Machine Learning 118

Marktechpost

JULY 17, 2023

Using causal graphs, LIME, Shapley, and the decision tree surrogate approach, the organization also provides various features to make it easier to develop explainability into predictive analytics models. When necessary, the platform also enables numerous governance and explainability elements.

Data Mining 98

Data Mining Machine Learning Data Scientist Artificial Intelligence 98

Mlearning.ai

MARCH 9, 2023

2012; Otsu, 1979; Long et al., 2019) or by using input pre-processing techniques to remove adversarial perturbations (Xie et al., Methodology In this study, we used the publicly available PASCAL VOC 2012 dataset (Everingham et al., Explaining and harnessing adversarial examples. References: Arbeláez, P., Goodfellow, I.

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

Topbots

JANUARY 11, 2023

Now my resolve about no new school of epistemology is weakening and this new article explains why. These tools are becoming increasingly effective to provide new insights into natural systems. Professor Hannah Fry explains this point well. And it offers real value in the process.

Generative AI 40

Generative AI Explainability Deep Learning Neural Network 40

Explosion

SEPTEMBER 3, 2015

Natural Language Processing moves fast, so maintaining a good library means constantly throwing things away. This post explains the problem, why it’s so damaging, and why I wrote spaCy to do things differently. But most Natural Language Processing libraries do, and it’s terrible.

Natural Language Processing 40

Natural Language Processing NLP Python Deep Learning 40

Viso.ai

JANUARY 2, 2024

This early model set the stage for future developments by demonstrating the usefulness of CNNs in processing visual data using feature maps – source. In 2012, the AlexNet architecture, designed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton , marked a breakthrough in the ImageNet challenge by significantly reducing error rates.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

AWS Machine Learning Blog

DECEMBER 14, 2023

The flexible and extensible interface of SageMaker Studio allows you to effortlessly configure and arrange ML workflows, and you can use the AI-powered inline coding companion to quickly author, debug, explain, and test code. He focuses on helping customers build, train, deploy and migrate machine learning (ML) workloads to SageMaker.

Generative AI 133

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Applied Data Science

MARCH 11, 2022

Back in 2012 things were quite different. This explain this statement at the NeurIPS 2017 Test-of-Time Award: It seems easier to train a bi-directional LSTM with attention than to compute the PCA of a large matrix. — Rahimi Each agent’s reward is related to the variance explained by its own eigenvector. This cat does not exist.

Neural Network 52

Neural Network Data Science AI AI 52

Explosion

DECEMBER 28, 2019

Among other things, Ines discussed fast.ai ’s new course on Natural Language Processing and using Polyaxon for model training and experiment management. ? Adriane is a computational linguist who has been engaged in research since 2005, completing her PhD in 2012. There’s also a bit of spaCy history in there as well.

NLP 52

NLP BERT Machine Learning Python 52

Explosion

FEBRUARY 18, 2015

spaCy is a new library for text processing in Python and Cython. I wrote it because I think small companies are terrible at natural language processing (NLP). So I wrote two blog posts, explaining how to write a part-of-speech tagger and parser. Or rather: small companies are using terrible NLP technology.

NLP 52

NLP Natural Language Processing Software Engineer Explainability 52

Explosion

DECEMBER 17, 2013

Natural languages introduce many unexpected ambiguities, which our world-knowledge immediately filters out. But the parsing algorithm I’ll be explaining deals with projective trees. The performance of our parser is made possible by an advance by Goldberg and Nivre (2012), who showed that we’d been doing this wrong for years.

Python 45

Python Algorithm NLP Computational Linguistics 45

Unite.AI

MAY 27, 2023

The power of AI-driven data analytics became evident in the 2012 and 2016 US election campaigns. In 2012, Obama's team used AI and big data to innovate voter targeting. Political chatbots can leverage Natural Language Processing (NLP) algorithms to understand text in real time.

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