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.

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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.

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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.

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NLP Natural Language Processing Deep Learning Machine Learning 342

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 Big Data Computer Vision 319

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. NVIDIA has been the dominant player in this domain for years, with its powerful Graphics Processing Units (GPUs) becoming the standard for AI computing worldwide.

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Unite.AI

NOVEMBER 6, 2023

With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? In this article, we’ll look at the state of the traditional machine learning landscape concerning modern generative AI innovations. What is Traditional Machine Learning?

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Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

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 342

Natural Language Processing NLP Deep Learning BERT 342

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?

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Unite.AI

NOVEMBER 20, 2024

With daily advancements in machine learning , natural language processing , and automation, many of these companies identify as “cutting-edge,” but struggle to stand out. As of 2024, there are approximately 70,000 AI companies worldwide, contributing to a global AI market value of nearly $200 billion.

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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?

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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

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Marktechpost

OCTOBER 28, 2024

By inputting different prompts, users can observe the model’s ability to generate human-quality text, translate languages, write various kinds of creative content, and answer your questions in an informative way. This platform provides a valuable opportunity to understand the potential of AI in natural language processing.

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Marktechpost

OCTOBER 25, 2024

Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. Transformers is a state-of-the-art library developed by Hugging Face that provides pre-trained models and tools for a wide range of natural language processing (NLP) tasks.

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Natural Language Processing NLP Deep Learning Python 111

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.

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Deep Learning Neural Network Natural Language Processing Computer Vision 52

Flipboard

MARCH 28, 2023

Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.

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Machine Learning Natural Language Processing Deep Learning 168

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

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.

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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.

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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

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

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Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

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.

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IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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Data Science Machine Learning Big Data Data Mining 175

Marktechpost

MAY 5, 2024

In recent years, the demand for AI and Machine Learning has surged, making ML expertise increasingly vital for job seekers. Additionally, Python has emerged as the primary language for various ML tasks. Machine Learning with Python This course covers the fundamentals of machine learning algorithms and when to use each of them.

Machine Learning 117

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Unite.AI

JANUARY 18, 2025

What Is a Neural Processing Unit (NPU)? A Neural Processing Unit (NPU) is a specialized microprocessor built from the ground up to handle the unique requirements of modern AI and machine learning workloads. This parallelism is critical for deep learning tasks, where training and inference involve large batches of data.

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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.

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AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications. 1.41%) (BRK.B 1.41%) (BRK.B

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Neural Network Natural Language Processing Deep Learning Robotics 246

Analytics Vidhya

AUGUST 25, 2024

This is the beauty of Amazon Alexa, a smart speaker that is driven by Natural Language Processing and Artificial Intelligence. Introduction Sitting in front of a desktop, away from you, is your own personal assistant, she knows the tone of your voice, answers to your questions and is even one step ahead of you.

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Marktechpost

MAY 8, 2024

Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology. These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution.

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Marktechpost

DECEMBER 30, 2023

Natural Language Processing (NLP) is useful in many fields, bringing about transformative communication, information processing, and decision-making changes. This Paper from NYU Explores Advanced Models in Natural Language Processing appeared first on MarkTechPost.

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Marktechpost

JANUARY 15, 2025

Traditional machine learning models, while effective in many scenarios, often struggle to process high-dimensional and unstructured data without extensive preprocessing and feature engineering. This gap has led to the evolution of deep learning models, designed to learn directly from raw data.

Deep Learning 85

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 85

Towards AI

FEBRUARY 3, 2025

DeepSeek AI is an advanced AI genomics platform that allows experts to solve complex problems using cutting-edge deep learning, neural networks, and natural language processing (NLP). DeepSeek AI can learn and improve over time, as opposed to being governed by static, pre-defined principles. Lets begin!

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AssemblyAI

MARCH 21, 2023

What are the actual advantages of Graph Machine Learning? This article will recap on some highly impactful applications of GNNs, the first article in a series that will take a deep dive into Graph Machine Learning, giving you everything you need to know to get up to speed on the next big wave in AI.

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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. S191: Introduction to Deep Learning MIT’s 6.S191

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Deep Learning Machine Learning NLP Robotics 40

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.

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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 […].

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AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation.

Neural Network 246

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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.

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Machine Learning NLP Large Language Models LLM 80