Analytics Vidhya

SEPTEMBER 24, 2021

This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […].

Machine Learning 400

Machine Learning Python Data Science Deep Learning 400

Analytics Vidhya

FEBRUARY 25, 2023

ChatGPT is an artificial intelligence model that uses the deep model to produce human-like text. It predicts […] The post Learning the Basics of Deep learning, ChatGPT, and Bard AI appeared first on Analytics Vidhya.

Deep Learning 364

Deep Learning ChatGPT Artificial Intelligence Artificial Intelligence 364

Analytics Vidhya

JULY 22, 2024

Introduction In this article, we dive into the top 10 publications that have transformed artificial intelligence and machine learning. By highlighting the significant impact of these discoveries on current applications and […] The post 10 Must Read Machine Learning Research Papers appeared first on Analytics Vidhya.

Machine Learning 327

Machine Learning Neural Network Artificial Intelligence Artificial Intelligence 327

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. rather than only […] The post Model Behind Google Translate: Seq2Seq in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 291

Machine Learning Natural Language Processing Deep Learning Robotics 291

Analytics Vidhya

JUNE 30, 2019

Overview Check out the top 6 machine learning GitHub repositories created in June There’s a heavy focus on NLP again, with XLNet outperforming Google’s. The post 6 Powerful Open Source Machine Learning GitHub Repositories for Data Scientists appeared first on Analytics Vidhya.

Data Scientist 307

Data Scientist Machine Learning NLP Deep Learning 307

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.

Natural Language Processing 284

Natural Language Processing NLP Artificial Intelligence Artificial Intelligence 284

IBM Journey to AI blog

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

Neural Network 178

Neural Network Deep Learning Machine Learning Artificial Intelligence 178

Analytics Vidhya

JUNE 5, 2019

Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning. The post Top 7 Machine Learning Github Repositories for Data Scientists appeared first on Analytics Vidhya.

Data Scientist 307

Data Scientist Machine Learning Data Science Computer Vision 307

Unite.AI

OCTOBER 27, 2024

stands as Google's flagship JavaScript framework for machine learning and AI development, bringing the power of TensorFlow to web browsers and Node.js MediaPipe.js, developed by Google, represents a breakthrough in bringing real-time machine learning capabilities to web applications. TensorFlow.js TensorFlow.js

Neural Network 162

Neural Network Machine Learning NLP Natural Language Processing 162

Unite.AI

NOVEMBER 5, 2024

The need for specialized AI accelerators has increased as AI applications like machine learning, deep learning , and neural networks evolve. Huawei vs. NVIDIA: The Battle for AI Supremacy NVIDIA has long been the leader in AI computing, with its GPUs serving as the standard for machine learning and deep learning tasks.

Deep Learning 189

Deep Learning AI AI Neural Network 189

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Analytics Vidhya

AUGUST 1, 2019

Overview Looking for machine learning projects to do right now? Here are 7 wide-ranging GitHub projects to try out These projects cover multiple machine. The post 7 Innovative Machine Learning GitHub Projects you Should Try Out in Python appeared first on Analytics Vidhya.

Machine Learning 308

Machine Learning Python Computer Vision NLP 308

Analytics Vidhya

DECEMBER 30, 2022

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages. Natural language processing (NLP) is […]. The post Top 10 blogs on NLP in Analytics Vidhya 2022 appeared first on Analytics Vidhya.

NLP 316

NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 316

Marek Rei

NOVEMBER 4, 2024

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente. University of Wisconsin-Madison. University of Tartu.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Analytics Vidhya

AUGUST 25, 2024

But […] The post How Amazon Alexa Works Using NLP appeared first on Analytics Vidhya. This is the beauty of Amazon Alexa, a smart speaker that is driven by Natural Language Processing and Artificial Intelligence.

NLP 290

NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 290

Analytics Vidhya

OCTOBER 16, 2023

Introduction Fine-tuning a natural language processing (NLP) model entails altering the model’s hyperparameters and architecture and typically adjusting the dataset to enhance the model’s performance on a given task.

NLP 342

NLP Natural Language Processing Deep Learning Machine Learning 342

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 NLP Deep Learning BERT 346

Analytics Vidhya

MARCH 9, 2023

This article will […] The post Name Based Gender Identification Using NLP and Python appeared first on Analytics Vidhya. Given a large number of gender options and the variability of languages, it can be difficult to come up with a name gender identity classification system that is accurate across all languages.

NLP 306

NLP Python Deep Learning Machine Learning 306

Pickl AI

NOVEMBER 24, 2024

Summary: Autoencoders are powerful neural networks used for deep learning. Their applications include dimensionality reduction, feature learning, noise reduction, and generative modelling. By the end, you’ll understand why autoencoders are essential tools in Deep Learning and how they can be applied across different fields.

Deep Learning 52

Deep Learning Neural Network Natural Language Processing Computer Vision 52

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

Deep Learning Neural Network Natural Language Processing Computer Vision 52

AssemblyAI

NOVEMBER 9, 2023

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. The models are powered by advanced Deep Learning and Machine Learning research. What is Text Summarization for NLP?

NLP 256

NLP AI Modeling Machine Learning AI 256

Marktechpost

MARCH 30, 2024

In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. PyTorch PyTorch is a widely used open-source machine learning library based on the Torch library.

Deep Learning 120

Deep Learning Machine Learning Python Computer Vision 120

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 230

Natural Language Processing Machine Learning Data Science Deep Learning 230

Pickl AI

JANUARY 26, 2025

Summary: Deep Learning models revolutionise data processing, solving complex image recognition, NLP, and analytics tasks. Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. With a projected market growth from USD 6.4

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

Analytics Vidhya

DECEMBER 30, 2022

Introduction The year 2022 saw more than 4000 submissions from different authors on diverse topics ranging from machine learning, computer vision, data science, deep learning, and programming to NLP.

Computer Vision 269

Computer Vision Deep Learning NLP Machine Learning 269

Towards AI

JANUARY 29, 2025

Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Roles like AI Engineer, Machine Learning Engineer, and Data Scientist are increasingly requiring expertise in Generative AI.

AI Engineer 98

AI Engineer Generative AI Neural Network BERT 98

Marktechpost

MAY 20, 2024

Deep learning is a subset of machine learning that involves training neural networks with multiple layers to recognize patterns and make data-based decisions. This article lists the top courses in deep learning that provide comprehensive knowledge and practical skills necessary to excel in this transformative field.

Deep Learning 126

Deep Learning Neural Network Computer Vision Natural Language Processing 126

Analytics Vidhya

JANUARY 24, 2024

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). This paper explored models using fine-tuning and transfer learning.

Automation 336

Automation Natural Language Processing Large Language Models Deep Learning 336

Analytics Vidhya

MAY 19, 2024

By leveraging natural language processing (NLP) and machine learning, conversational AI systems can understand and respond to human language, creating more engaging and efficient interactions.

Automation 306

Automation Natural Language Processing Conversational AI Machine Learning 306

Bugra Akyildiz

FEBRUARY 26, 2025

Stanford CS224n: Natural Language Processing with Deep Learning Stanford’s CS224n stands as the gold standard for NLP education, offering a rigorous exploration of neural architectures, sequence modeling, and transformer-based systems.

Deep Learning 40

Deep Learning NLP Machine Learning Robotics 40

Marktechpost

AUGUST 3, 2024

Multi-layer perceptrons (MLPs) have become essential components in modern deep learning models, offering versatility in approximating nonlinear functions across various tasks. The difficulty in understanding learned representations limits their transparency, while expanding the network scale often proves complex.

Computer Vision 120

Computer Vision Machine Learning NLP Neural Network 120

Marktechpost

APRIL 26, 2024

Graph Machine Learning (Graph ML), especially Graph Neural Networks (GNNs), has emerged to effectively model such data, utilizing deep learning’s message-passing mechanism to capture high-order relationships. Foundation Models (FMs) have revolutionized NLP and vision domains in the broader AI spectrum.

Large Language Models 135

Large Language Models Machine Learning Neural Network Deep Learning 135

Marktechpost

APRIL 12, 2024

Deep learning architectures have revolutionized the field of artificial intelligence, offering innovative solutions for complex problems across various domains, including computer vision, natural language processing, speech recognition, and generative models. It was introduced in the paper “Attention is All You Need” by Vaswani et al.

Deep Learning 136

Deep Learning Convolutional Neural Networks Neural Network Natural Language Processing 136

Towards AI

JANUARY 31, 2025

Explaining a black box Deep learning model is an essential but difficult task for engineers in an AI project. Image by author When the first computer, Alan Turings machine, appeared in the 1940s, humans started to struggle in explaining how it encrypts and decrypts messages. This member-only story is on us.

Deep Learning 95

Deep Learning Computer Vision Explainability NLP 95

Marktechpost

OCTOBER 25, 2024

Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. As NLP continues to advance, there is a growing need for skilled professionals to develop innovative solutions for various applications, such as chatbots, sentiment analysis, and machine translation.

Natural Language Processing 111

Natural Language Processing NLP Deep Learning Python 111

Aiiot Talk

MAY 6, 2023

AI comprises numerous technologies like deep learning, machine learning, natural language processing, and computer vision. With the help of these technologies, AI is now capable of learning, reasoning, and processing complex data. This improvement has led to a significant advancement in medical diagnosis.

Natural Language Processing 246

Natural Language Processing Computer Vision Deep Learning Artificial Intelligence 246

Flipboard

MARCH 16, 2025

AI was certainly getting better at predictive analytics and many machine learning (ML) algorithms were being used for voice recognition, spam detection, spell ch… Read More What seemed like science fiction just a few years ago is now an undeniable reality. Back in 2017, my firm launched an AI Center of Excellence.

Machine Learning 178

Machine Learning ML Algorithm AI 178