Marktechpost

DECEMBER 14, 2024

Despite significant progress with deep learning models like AlphaFold and ProteinMPNN, there is a gap in accessible educational resources that integrate foundational machine learning concepts with advanced protein engineering methods. It explains how CNNs utilize convolutional layers to extract spatial features from input data.

Deep Learning 79

Deep Learning Machine Learning Neural Network Explainability 79

Marek Rei

NOVEMBER 4, 2024

link] Proposes an explainability method for language modelling that explains why one word was predicted instead of a specific other word. Adapts three different explainability methods to this contrastive approach and evaluates on a dataset of minimally different sentences. Computational Linguistics 2022.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

ODSC - Open Data Science

APRIL 3, 2023

Are you curious about explainability methods like saliency maps but feel lost about where to begin? Plus, our built-in QA ecosystem , including explainability, adversarial attacks, graph visualizations, and behavioral tests, allows you to analyze the models from multiple perspectives. Don’t worry, you’re not alone! Euro) in 2021.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

Mlearning.ai

FEBRUARY 19, 2023

It combines techniques from computational linguistics, probabilistic modeling, deep learning to make computers intelligent enough to grasp the context and the intent of the language. As explained earlier, to get a better and robust model it has to be trained on large dataset.

Auto-classification 52

Auto-classification Natural Language Processing Auto-complete NLP 52

Heartbeat

FEBRUARY 21, 2023

Picture by Anna Nekrashevich , Pexels.com Introduction Sentiment analysis is a natural language processing technique which identifies and extracts subjective information from source materials using computational linguistics and text analysis. We’re committed to supporting and inspiring developers and engineers from all walks of life.

NLP 52

NLP Natural Language Processing Computational Linguistics Machine Learning 52

Heartbeat

FEBRUARY 8, 2023

Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence. R Source: i2tutorials Statisticians developed R as a tool for statistical computing. We pay our contributors, and we don’t sell ads.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

Sebastian Ruder

JANUARY 24, 2022

  While pre-trained transformers will likely continue to be deployed as standard baselines for many tasks, we should expect to see alternative architectures particularly in settings where current models fail short, such as modeling long-range dependencies and high-dimensional inputs or where interpretability and explainability are required.

NLP 52

NLP ML BERT Computational Linguistics 52