Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. They are able to learn long-range dependencies between words in a sentence, which makes them very powerful for tasks such as machine translation, text summarization, and question answering.

Natural Language Processing 195

Natural Language Processing Decision Trees Deep Learning Deep Learning 195

Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. They are able to learn long-range dependencies between words in a sentence, which makes them very powerful for tasks such as machine translation, text summarization, and question answering.

Natural Language Processing 195

Natural Language Processing Decision Trees Deep Learning Deep Learning 195

Analytics Vidhya

SEPTEMBER 2, 2021

The post Natural Language Processing Using CNNs for Sentence Classification appeared first on Analytics Vidhya. A sentence is classified into a class in sentence classification. A question database will be used for this article and […].

Natural Language Processing 224

Natural Language Processing Database Data Science Analytics 224

Analytics Vidhya

DECEMBER 20, 2020

Introduction Language is a systematic form of communication that can take a variety of forms. There are approximately 7,000 languages believed to be spoken. The post Multilingualism in Natural Language Processing targeting low resource Indian languages appeared first on Analytics Vidhya.

Natural Language Processing 259

Natural Language Processing Analytics Analytics Deep Learning 259

Analytics Vidhya

MARCH 17, 2021

ArticleVideo Book Introduction Deep learning is ubiquitous – whether it’s Computer Vision applications or breakthroughs in the field of Natural Language Processing, we are. The post Improving your Deep Learning model using Model Checkpointing- Part 1 appeared first on Analytics Vidhya.

Deep Learning 310

Deep Learning Deep Learning Natural Language Processing Analytics 310

Analytics Vidhya

APRIL 23, 2021

Introduction Machine Learning and Natural Language Processing are important subfields. The post Role of Machine Learning in Natural Language Processing appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Natural Language Processing 175

Natural Language Processing Machine Learning Machine Learning Data Science 175

Analytics Vidhya

JANUARY 7, 2021

The post Introduction to Automatic Speech Recognition and Natural Language Processing appeared first on Analytics Vidhya. ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction In this article, we will take a closer look at.

Natural Language Processing 236

Natural Language Processing Data Science Analytics Analytics 236

Dataconomy

AUGUST 8, 2022

PaddlePaddle has recently received new updates from Baidu, along with 10 large deep learning models covering computational biology, vision, and natural language processing. The most widely used Chinese.

Deep Learning 220

Deep Learning Deep Learning Natural Language Processing AI 220

Analytics Vidhya

AUGUST 27, 2019

Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google. The post A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic) appeared first on Analytics Vidhya.

Natural Language Processing 307

Natural Language Processing Analytics Analytics Deep Learning 307

Analytics Vidhya

MARCH 17, 2019

Introduction Natural Language Processing (NLP) applications have become ubiquitous these days. The post 8 Excellent Pretrained Models to get you Started with Natural Language Processing (NLP) appeared first on Analytics Vidhya.

Natural Language Processing 291

Natural Language Processing Analytics Analytics Deep Learning 291

Analytics Vidhya

APRIL 16, 2024

Introduction Welcome into the world of Transformers, the deep learning model that has transformed Natural Language Processing (NLP) since its debut in 2017. These linguistic marvels, armed with self-attention mechanisms, revolutionize how machines understand language, from translating texts to analyzing sentiments.

Natural Language Processing 233

Natural Language Processing Deep Learning Deep Learning Analytics 233

insideBIGDATA

FEBRUARY 15, 2023

This paper is a major turning point in deep learning research. The transformer architecture, which was introduced in this paper, is now used in a variety of state-of-the-art models in natural language processing and beyond. Transformers are the basis of the large language models (LLMs) we're seeing today.

Natural Language Processing 497

Natural Language Processing Deep Learning Deep Learning Big Data 497

KDnuggets

MARCH 29, 2023

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

Natural Language Processing 400

Natural Language Processing Data Science Deep Learning Deep Learning 400

Analytics Vidhya

NOVEMBER 19, 2019

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision. The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.

Deep Learning 269

Deep Learning Deep Learning Natural Language Processing Algorithm 269

Analytics Vidhya

JANUARY 24, 2024

Introduction Welcome to the world of Large Language Models (LLM). In the old days, transfer learning was a concept mostly used in deep learning. However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP).

Natural Language Processing 281

Natural Language Processing Deep Learning Deep Learning AI 281

KDnuggets

MAY 26, 2022

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

Data Science 400

Data Science Natural Language Processing Deep Learning Deep Learning 400

Towards AI

NOVEMBER 19, 2023

This technique is more useful in the field of computer vision and natural language processing (NLP) because of large data that has semantic information. What is the issue of training deep learning models from scratch? It needs a lot of labeled data that takes more time and effort if not available publicly.It

Deep Learning 119

Deep Learning Deep Learning Natural Language Processing AI 119

Defined.ai blog

SEPTEMBER 21, 2023

That’s the power of Natural Language Processing (NLP) at work. In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. What is Natural Language Processing?

Natural Language Processing 52

Natural Language Processing Data Mining Data Mining Data Mining 52

Analytics Vidhya

FEBRUARY 25, 2023

Introduction In recent years, the evolution of technology has increased tremendously, and nowadays, deep learning is widely used in many domains. This has achieved great success in many fields, like computer vision tasks and natural language processing.

Natural Language Processing 286

Natural Language Processing Deep Learning Deep Learning Machine Learning 286

Analytics Vidhya

OCTOBER 12, 2023

Introduction In the field of artificial intelligence, Large Language Models (LLMs) and Generative AI models such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama, Falcon, Google’s Palm, etc., LLMs use deep learning techniques to perform natural language processing tasks.

Database 304

Database Natural Language Processing Deep Learning Deep Learning 304

KDnuggets

AUGUST 15, 2022

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

Natural Language Processing 304

Natural Language Processing Data Science Deep Learning Deep Learning 304

Mlearning.ai

JANUARY 26, 2023

Introduction Natural language processing (NLP) sentiment analysis is a powerful tool for understanding people’s opinions and feelings toward specific topics. NLP sentiment analysis uses natural language processing (NLP) to identify, extract, and analyze sentiment from text data.

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning Algorithm 52

KDnuggets

FEBRUARY 21, 2022

A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

Natural Language Processing 363

Natural Language Processing Data Science Deep Learning Deep Learning 363

Analytics Vidhya

APRIL 19, 2024

Introduction Wayve, a leading artificial intelligence company based in the United Kingdom, introduces Lingo-2, a groundbreaking system that harnesses the power of natural language processing. It integrates vision, language, and action to explain and determine driving behavior.

Natural Language Processing 251

Natural Language Processing Artificial Intelligence Artificial Intelligence Analytics 251

Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

Analytics Vidhya

DECEMBER 3, 2019

Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core. The post Create Natural Language Processing-based Apps for iOS in Minutes! Overview Intrigued by Apple’s iOS apps?

Natural Language Processing 125

Natural Language Processing ML ML Analytics 125

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Natural language processing, deep learning, speech recognition, and pattern identification are just a few artificial intelligence technologies that have consistently advanced in recent years. This has helped chatbots grow significantly.

Machine Learning 264

Machine Learning Machine Learning Natural Language Processing Deep Learning 264

Analytics Vidhya

JANUARY 5, 2022

Objective This blog post will learn how to use the Hugging face transformers functions to perform prolonged Natural Language Processing tasks. Prerequisites Knowledge of Deep Learning and Natural Language Processing (NLP) Introduction Transformers was introduced in the paper Attention is all you need; it is […].

Natural Language Processing 262

Natural Language Processing Deep Learning Deep Learning Data Science 262

insideBIGDATA

SEPTEMBER 14, 2023

benchmark results confirm DDN storage solutions as the gold standard for AI and machine learning applications. The MLPerfTM Storage v0.5

Natural Language Processing 243

Natural Language Processing Machine Learning Machine Learning Cloud Data 243

insideBIGDATA

DECEMBER 22, 2023

In this contributed article, consultant and thought leader Richard Shan, believes that generative AI holds immense potential to transform information technology, offering innovative solutions for content generation, programming assistance, and natural language processing.

Natural Language Processing 434

Natural Language Processing AI AI Big Data 434

Dataversity

DECEMBER 16, 2020

Click here to learn more about Gilad David Maayan. Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis.

Deep Learning 98

Deep Learning Deep Learning Natural Language Processing Big Data 98

Analytics Vidhya

DECEMBER 25, 2022

Introduction There have been many recent advances in natural language processing (NLP), including improvements in language models, better representation of the linguistic structure, advancements in machine translation, increased use of deep learning, and greater use of transfer learning.

Natural Language Processing 240

Natural Language Processing Deep Learning Deep Learning Analytics 240

Analytics Vidhya

DECEMBER 25, 2022

Introduction There have been many recent advances in natural language processing (NLP), including improvements in language models, better representation of the linguistic structure, advancements in machine translation, increased use of deep learning, and greater use of transfer learning.

Natural Language Processing 246

Natural Language Processing Deep Learning Deep Learning Analytics 246

Analytics Vidhya

JUNE 6, 2022

If we have to build any NLP-based software using Machine Learning or Deep Learning then we can use this pipeline. Natural Language Processing (NLP) is one […]. Introduction Hello friends, In this article, we will discuss End to End NLP pipeline in an easy way.

Natural Language Processing 291

Natural Language Processing Deep Learning Deep Learning Machine Learning 291

Analytics Vidhya

FEBRUARY 3, 2022

In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Deep learning, natural language processing, and computer vision are examples […].

Data Science 290

Data Science Natural Language Processing Deep Learning Deep Learning 290

Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. Deep learning-based models, especially CNNs, have revolutionized feature extraction in image captioning.

Natural Language Processing 52

Natural Language Processing Algorithm Deep Learning Deep Learning 52

Analytics Vidhya

APRIL 9, 2024

OpenAI’s ChatGPT, Google Gemini, Microsoft Copilot, and other tools got everybody’s attention and sparked a wave of innovation in artificial intelligence and natural language processing.

Natural Language Processing 278

Natural Language Processing Artificial Intelligence Artificial Intelligence AI 278