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 357

Deep Learning Deep Learning Natural Language Processing Analytics 357

Analytics Vidhya

DECEMBER 20, 2020

Introduction A language is a systematic form of communication that can take a variety of forms. There are approximately 7,000 languages believed to be. The post Multilingual languages in Natural Language Processing: Targeting Low Resource Indian Languages appeared first on Analytics Vidhya.

Natural Language Processing 329

Natural Language Processing Analytics Analytics Deep Learning 329

Analytics Vidhya

MARCH 20, 2023

Introduction The artificial intelligence of Natural Language Processing (NLP) is concerned with how computers and people communicate in everyday language. Automating the creation, training, […] The post MLOps for Natural Language Processing (NLP) appeared first on Analytics Vidhya.

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Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 285

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 321

Natural Language Processing Data Science Analytics Analytics 321

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 299

Natural Language Processing Data Science Database Analytics 299

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 308

Natural Language Processing Analytics Analytics Deep Learning 308

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 291

Natural Language Processing Analytics Analytics Deep Learning 291

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 292

Natural Language Processing Analytics Analytics Deep Learning 292

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 243

Natural Language Processing Machine Learning Machine Learning Data Science 243

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 288

Deep Learning Deep Learning Natural Language Processing Algorithm 288

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.

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Natural Language Processing Data Science Deep Learning Deep Learning 400

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

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 385

Natural Language Processing Data Science Deep Learning Deep Learning 385

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

MAY 29, 2024

Introduction One of the most important tasks in natural language processing is text summarizing, which reduces long texts to brief summaries while maintaining important information.

Natural Language Processing 305

Natural Language Processing Deep Learning Deep Learning Analytics 305

Analytics Vidhya

JUNE 9, 2019

Introduction “I don’t want a full report, just give me a summary of the results” I have often found myself in this situation – The post Comprehensive Guide to Text Summarization using Deep Learning in Python appeared first on Analytics Vidhya.

Deep Learning 307

Deep Learning Deep Learning Python Analytics 307

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 336

Natural Language Processing Deep Learning Deep Learning Machine Learning 336

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 330

Natural Language Processing Data Science Deep Learning Deep Learning 330

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 318

Natural Language Processing Deep Learning Deep Learning Data Science 318

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 346

Natural Language Processing Deep Learning Deep Learning Analytics 346

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 353

Database Natural Language Processing Deep Learning Deep Learning 353

Machine Learning Mastery

MARCH 28, 2025

Transformer is a deep learning architecture that is very popular in natural language processing (NLP) tasks. It is a type of neural network that is designed to process sequential data, such as text. Specifically, you will learn: What problems do the transformer models address What is…

Natural Language Processing 266

Natural Language Processing Deep Learning Deep Learning 266

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 343

Natural Language Processing Deep Learning Deep Learning Machine Learning 343

Analytics Vidhya

DECEMBER 17, 2019

Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya. That’s the peg we hang our hat.

Deep Learning 268

Deep Learning Deep Learning Machine Learning Machine Learning 268

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

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).

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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 319

Data Science Natural Language Processing Deep Learning Deep Learning 319

Analytics Vidhya

DECEMBER 15, 2019

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.

Natural Language Processing 400

Natural Language Processing Analytics Analytics AI 400

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 291

Machine Learning Machine Learning Natural Language Processing Deep Learning 291

Data Science Dojo

MARCH 28, 2024

What are large language models (LLMs)? LLMs are a powerful tool within the world of AI using deep learning techniques for general-purpose language generation and other natural language processing (NLP) tasks. They train on massive amounts of textual data to produce human-quality texts.

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Natural Language Processing Deep Learning Deep Learning Data Visualization 195

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

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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 271

Natural Language Processing Deep Learning Deep Learning Analytics 271

Pickl AI

APRIL 6, 2025

Summary: Deep Learning vs Neural Network is a common comparison in the field of artificial intelligence, as the two terms are often used interchangeably. Introduction Deep Learning and Neural Networks are like a sports team and its star player. Deep Learning Complexity : Involves multiple layers for advanced AI tasks.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52

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 271

Natural Language Processing Deep Learning Deep Learning Analytics 271

Pickl AI

JANUARY 29, 2025

Summary: This article presents 10 engaging Deep Learning projects for beginners, covering areas like image classification, emotion recognition, and audio processing. Each project is designed to provide practical experience and enhance understanding of key concepts in Deep Learning. What is Deep Learning?

Deep Learning 52

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