Analytics Vidhya

MAY 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Today, we will see a gentle introduction to the transformers. The post Implementing Transformers in NLP Under 5 Lines Of Codes appeared first on Analytics Vidhya.

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Marktechpost

FEBRUARY 27, 2024

Researchers from AIRI Moscow, Neural Networks and Deep Learning Lab MIPT, and London Institute for Mathematical Sciences introduce BABILong, a pioneering benchmark meticulously crafted to evaluate NLP models’ prowess in dissecting long documents. Check out the Paper.

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Dlabs.ai

DECEMBER 9, 2021

Natural language processing (NLP) is a core part of artificial intelligence. But how can you find the best books on NLP? Which is why we’ve prepared our top-ten list of must-read books (and eBooks!) 10 Must-read Books on NLP One quick note before we jump into the list. Let’s begin.

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Natural Language Processing Neural Network NLP Deep Learning 59

ODSC - Open Data Science

SEPTEMBER 13, 2024

Each day we had at least one book signing where attendees could meet some of their favorite data science book authors and get their questions answered — and those who showed up early enough, even got their book signed. What’s next? We still have one more big event this year — ODSC West 2024!

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Viso.ai

MARCH 26, 2024

This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. Learn more by booking a demo. Vaswani et al.

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Viso.ai

DECEMBER 20, 2023

Huawei’s Mindspore is an open-source deep learning framework for training and inference written in C++. Our no-code solution enables teams to rapidly build real-world computer vision using the latest deep learning models out of the box. Book a demo. Adaptive Learning Rate. Operating under the Apache-2.0

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Sebastian Ruder

FEBRUARY 23, 2023

This post gives a brief overview of modularity in deep learning. For modular fine-tuning for NLP, check out our EMNLP 2022 tutorial. Fuelled by scaling laws, state-of-the-art models in machine learning have been growing larger and larger. We give an in-depth overview of modularity in our survey on Modular Deep Learning.

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Marek Rei

NOVEMBER 4, 2024

They show state-of-the-art results on long-context language modelling, finding a hidden passcode from a 1M token length context, and summarizing 500K length books. BooookScore: A systematic exploration of book-length summarization in the era of LLMs Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer. UMass Amherst, AllenAI, Princeton.

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Towards AI

JULY 21, 2023

Photo by Will Truettner on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 07.26.20 A book of 58 pages written in Runes, of which, its bewildering encryption continues to haunt hacker gunslingers around the globe who choose only to communicate and study its content via IRCs (internet relay chat).

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Analytics Vidhya

AUGUST 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to compare four different deep learning and. The post Email Spam Detection – A Comparative Analysis of 4 Machine Learning Models appeared first on Analytics Vidhya.

Machine Learning 393

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Unite.AI

OCTOBER 3, 2024

Using deep learning algorithms, neural machine translation considers whole sentences simultaneously. It uses deep learning models to analyze and translate metaphors, ensuring they maintain the original's emotional and artistic integrity. Quality control is a critical activity of the process.

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Heartbeat

JUNE 22, 2023

Natural language processing (NLP) can help with this. In this post, we’ll look at how natural language processing (NLP) may be utilized to create smart chatbots that can comprehend and reply to natural language requests. What is NLP? Sentiment analysis, language translation, and speech recognition are a few NLP applications.

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AI Weekly

OCTOBER 19, 2023

arstechnica.com Applied use cases New technique based on 18th-century mathematics shows simpler AI models don't need deep learning Researchers from the University of Jyväskylä were able to simplify the most popular technique of artificial intelligence, deep learning, using 18th-century mathematics.

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Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon With an emerging field of deep learning, performing complex operations has. The post LSTM for Text Classification appeared first on Analytics Vidhya.

Deep Learning 284

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Towards AI

JULY 21, 2023

The Great Day of His Wrath | Martin NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.07.21 would imply that two books are very likely to be by the same author.” In addition, faststylometry includes “unknown” books for testing purposes. Pretty cool.

NLP 52

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Mlearning.ai

APRIL 8, 2023

Introduction Natural language processing and deep learning models have seen significant advancements in the last decade, with attention-based Transformer models becoming increasingly popular for their ability to perform efficiently in various tasks that traditional Recurrent Neural Networks (RNNs) struggled with.

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Topbots

APRIL 11, 2023

BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers. This model marked a new era in NLP with pre-training of language models becoming a new standard. Where to learn more about this research?

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Sebastian Ruder

DECEMBER 19, 2023

NLP research has undergone a paradigm shift over the last year. In contrast,  NLP researchers today are faced with a constraint that is much harder to overcome: compute. A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models Li et al. Defining a New NLP Playground Saphra et al.

NLP 52

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Sebastian Ruder

DECEMBER 19, 2023

This post was first published in  NLP News. NLP research has undergone a paradigm shift over the last year. In contrast,  NLP researchers today are faced with a constraint that is much harder to overcome: compute. A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models Li et al.

NLP 52

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Analytics Vidhya

JUNE 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing (NLP) is a field at the convergence. The post Language Translation with Transformer In Python! appeared first on Analytics Vidhya.

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Heartbeat

MARCH 22, 2023

Learn NLP data processing operations with NLTK, visualize data with Kangas , build a spam classifier, and track it with Comet Machine Learning Platform Photo by Stephen Phillips — Hostreviews.co.uk In this article, let’s dive deep into the Natural Language Toolkit (NLTK) data processing concepts for NLP data.

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ODSC - Open Data Science

MARCH 13, 2023

They are experts in machine learning, NLP, deep learning, data engineering, MLOps, and data visualization. Learn more about a few of our ODSC East 2023 instructors, their backgrounds in education, and why they’re fit for imparting their knowledge. Dr. Jon Krohn Chief Data Scientist | Nebula.io

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Data Science Deep Learning Software Engineer Machine Learning 80

Unite.AI

JULY 11, 2023

Introduction To Image Generation Image Source Course difficulty: Beginner-level Completion time: ~ 1 day (Complete the quiz/lab in your own time) Prerequisites: Knowledge of ML, Deep Learning (DL), Convolutional Neural Nets (CNNs), and Python programming. What will AI enthusiasts learn? What will AI enthusiasts learn?

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Becoming Human

MAY 11, 2023

Machine Learning and Deep Learning One of the key components of the development of ChatGPT is machine learning. Machine learning is a process that involves training artificial neural networks with large amounts of data so that they can learn to recognize patterns and make predictions based on that data.

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IBM Journey to AI blog

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. They can also perform self-supervised learning to generalize and apply their knowledge to new tasks. That’s where the foundation model enters the picture.

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Analytics Vidhya

MAY 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In today’s world, almost everyone is using a mobile. The post SMS Spam Detection Using LSTM – A Hands On Guide! appeared first on Analytics Vidhya.

Data Science 398

Data Science Deep Learning NLP Python 398

ODSC - Open Data Science

MARCH 20, 2023

Confirmed sessions include: Self-Supervised and Unsupervised Learning for Conversational AI and NLP NLP Fundamentals Applying Responsible AI with Open-Source Tools And more to come soon! This day will have a mixture of beginner, intermediate, and advanced content.

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Unite.AI

AUGUST 24, 2023

In the past few years, the AI and ML industry has witnessed a meteoric rise in the development & application of the NLP systems as researchers have been able to implement NLP practices in highly flexible and task-agnostic ways for downstream transferring tasks.

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ODSC - Open Data Science

OCTOBER 26, 2023

ODSC West is less than a week away and we can’t wait to bring together some of the best and brightest minds in data science and AI to discuss generative AI, NLP, LLMs, machine learning, deep learning, responsible AI, and more. Join the Solution Showcases to learn how your organization can build AI better.

Data Science 52

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Viso.ai

OCTOBER 17, 2024

To start implementing computer vision for business solutions, book a demo of Viso Suite with our team of experts. Hopfield’s work laid the foundation for further advancements in neural networks, especially in deep learning. The Boltzmann machine is one of the earliest approaches to deep learning.

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Mlearning.ai

JUNE 14, 2023

I used this foolproof method of consuming the right information and ended up publishing books , artworks , Podcasts and even an LLM powered consumer facing app ranked #40 on the app store. I have been going through various training modules, including this one by Google Cloud and this one by Databricks and other learning paths.

Neural Network 52

Neural Network BERT Large Language Models Natural Language Processing 52

Flipboard

MARCH 27, 2023

In this series, you will learn about Accelerating Deep Learning Models with PyTorch 2.0. This lesson is the 1st of a 2-part series on Accelerating Deep Learning Models with PyTorch 2.0 : What’s New in PyTorch 2.0? Figure 7: Speedup in NLP models with PyTorch 2.0 via its beta release. programs faster.

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Heartbeat

SEPTEMBER 11, 2023

The following is a brief tutorial on how BERT and Transformers work in NLP-based analysis using the Masked Language Model (MLM). Bidirectional Encoder Representations from Transformers , aka BERT, is an open-source machine learning framework for NLP. NLTK : A simple text processing library used for NLP purposes.

BERT 52

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Analytics Vidhya

AUGUST 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Sentiment Analysis Sentiment Analysis is the process of finding the. The post Sentiment Analysis Using Bidirectional Stacked LSTM appeared first on Analytics Vidhya.

Data Science 329

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Analytics Vidhya

AUGUST 17, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: [link] Natural language processing has been an area of research. The post Predict the next word of your text using Long Short Term Memory (LSTM) appeared first on Analytics Vidhya.

Natural Language Processing 342

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Heartbeat

OCTOBER 10, 2023

One of the most popular techniques for speech recognition is natural language processing (NLP), which entails training machine learning models on enormous amounts of text data to understand linguistic patterns and structures. The RoBERTa model has recently emerged as a powerful tool for NLP tasks, including speech recognition.

BERT 52

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Analytics Vidhya

MAY 29, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon BERT is too kind — so this article will be touching. The post Measuring Text Similarity Using BERT appeared first on Analytics Vidhya.

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