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.

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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.

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Dlabs.ai

DECEMBER 9, 2021

Natural language processing (NLP) is a core part of artificial intelligence. Natural Language Processing Succinctly Author : Joseph D. You’ll find all you need to know to build NLP solutions, starting with an overview of natural language processes and what the technology can do.

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Unite.AI

NOVEMBER 6, 2023

Traditional machine learning is a broad term that covers a wide variety of algorithms primarily driven by statistics. The two main types of traditional ML algorithms are supervised and unsupervised. These algorithms are designed to develop models from structured datasets. Do We Still Need Traditional Machine Learning Algorithms?

Machine Learning 204

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Marktechpost

MAY 5, 2024

Machine Learning with Python This course covers the fundamentals of machine learning algorithms and when to use each of them. The course covers numerous algorithms of supervised and unsupervised learning and also teaches how to build neural networks using TensorFlow. and evaluating the same.

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Marktechpost

DECEMBER 16, 2023

Trained on a dataset from six UK hospitals, the system utilizes neural networks, X-Raydar and X-Raydar-NLP, for classifying common chest X-ray findings from images and their free-text reports. An NLP algorithm, X-Raydar-NLP, was trained on 23,230 manually annotated reports to extract labels.

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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 on Unsplash At its core, the discipline of Natural Language Processing (NLP) tries to make the human language “palatable” to computers.

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Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. This process is known as training, and it relies on large amounts of labeled data. How Deep Learning Algorithms Work?

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Mlearning.ai

AUGUST 22, 2023

Activation Functions in Neural Networks From the traditional Sigmoid and ReLU to cutting-edge activation functions like GeLU, this article delves into their significance, math, and guidelines for choosing the ideal function for your model. A Neural Network depicting Activations Functions in Action. Image by the Author.

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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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Marktechpost

APRIL 25, 2024

Understanding the terminology, from the foundational aspects of training and fine-tuning to the cutting-edge concepts of transformers and reinforcement learning, is the first step towards demystifying the powerful algorithms that drive modern AI language systems.

Large Language Models 130

Large Language Models LLM Neural Network Natural Language Processing 130

Towards AI

MAY 10, 2024

Speech-to-text with a neural network running locallyImage by Mark Anderson If you’ve watched the Iron Man movies, you’re well aware of the how helpful Jarvis can be. Speech to text (as well as text to speech) are natural language processing problems, which is often shortened to the acronym, NLP.

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Marktechpost

MARCH 30, 2024

PyTorch boasts a robust ecosystem with tools and libraries for computer vision, natural language processing, and more. It gives access to various classification, regression, and clustering algorithms, including SVM, random forests, gradient boosting, k-means, and DBSCAN. It’s part of Microsoft’s DMTK project.

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Chatbots Life

APRIL 16, 2024

Examples of Generative Models Generative models encompass various algorithms that capture patterns in data to generate realistic new examples. Variational Autoencoders (VAEs) : VAEs are neural networks that learn the underlying distribution of the input data and generate new data points.

Neural Network 59

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 59

Unite.AI

FEBRUARY 19, 2024

RPA Bots Becoming Super Bots: Driving Intelligent Decision Making RPA bots that originally operated on rule-based programs through learning patterns and emulating human behavior for performing repetitive and menial tasks have become super bots, with Conversational AI and Neural Network algorithms coming into force.

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Unite.AI

FEBRUARY 16, 2024

Despite achieving remarkable results in areas like computer vision and natural language processing , current AI systems are constrained by the quality and quantity of training data, predefined algorithms, and specific optimization objectives.

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

Pickl AI

APRIL 19, 2024

Specialise in domains like machine learning or natural language processing to deepen expertise. Key Takeaways AI encompasses machine learning, neural networks, NLP, and robotics. Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops.

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Neural Network Natural Language Processing Machine Learning Computer Vision 52

AI Weekly

JULY 13, 2023

plos.org Screening for Chagas disease from the electrocardiogram using a deep neural network Worldwide, it is estimated that over 6 million people are infected with Chagas disease (ChD). We explore the use of deep neural networks to detect ChD from electrocardiograms (ECGs) to aid in the early detection of the disease.

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Google Research AI blog

AUGUST 24, 2023

While neural networks have powerful pattern matching capabilities , they are prone to overfitting to spurious statistical patterns in the data. As a result, despite significant progress in a variety of natural language processing tasks, performance on simple arithmetic tasks like addition has remained a challenge.

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Towards AI

MAY 11, 2023

Table of Contents: Mastering Large Language Models (LLMs) is a compelling endeavor in the realm of Natural Language Processing (NLP). The journey begins with understanding NLP basics, covering essential concepts, techniques, and algorithms. Join thousands of data leaders on the AI newsletter.

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Natural Language Processing Large Language Models Neural Network NLP 92

Unite.AI

SEPTEMBER 21, 2023

Organizations and practitioners build AI models that are specialized algorithms to perform real-world tasks such as image classification, object detection, and natural language processing. Some prominent AI techniques include neural networks, convolutional neural networks, transformers, and diffusion models.

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Unite.AI

APRIL 3, 2024

In today's era of rapid technological advancement, Artificial Intelligence (AI) applications have become ubiquitous, profoundly impacting various aspects of human life, from natural language processing to autonomous vehicles.

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Marktechpost

APRIL 21, 2024

This course is ideal for those interested in the latest in natural language processing technologies. Introduction to Large Language Models: This module explores Large Language Models (LLMs) and their applications. Learners will understand LLMs, their use cases, and how prompt tuning can enhance their performance.

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Marktechpost

MAY 8, 2024

These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution. DRL models, such as Deep Q-Networks (DQN), estimate optimal action policies by training neural networks to approximate the maximum expected future rewards.

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Pickl AI

APRIL 25, 2023

There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. There are various Machine Learning algorithms including regression and classification algorithms. What is Neural Network? What is Deep Learning?

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Marktechpost

MAY 10, 2024

It explores various models like linear, xgboost, and neural networks to analyze stock data and make predictions. Participants learn to apply supervised and unsupervised learning methods to real-world challenges, including Natural Language Processing for customer interactions and time series analysis for market forecasting.

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Machine Learning Neural Network Natural Language Processing Python 94

Analytics Vidhya

JANUARY 17, 2022

Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” This article was published as a part of the Data Science Blogathon. ” Then I began to write a brief response.

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Towards AI

MARCH 20, 2023

How do neural networks contribute to generative AI? How does natural language processing (NLP) relate to generative AI? By leveraging advanced algorithms, generative AI models can generate text, images, music, and more, with minimal human intervention. How does generative AI differ from other types of AI?

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Unite.AI

JUNE 26, 2023

AI models are extremely good at solving narrow problems, such as image classification, natural language processing , speech recognition, etc., They lack subjective experience, self-consciousness, or an understanding of context beyond what they have been trained to process. but they don’t possess consciousness.

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Towards AI

NOVEMBER 19, 2023

Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do. Weights and biases determine how strongly inputs influence the network’s predictions.

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Mlearning.ai

MAY 5, 2023

— Ilya Sutskever, chief scientist of OpenAI WE CAN CONNECT ON :| LINKEDIN | TWITTER | MEDIUM | SUBSTACK | In recent years, there has been a great deal of buzz surrounding large language models, or LLMs for short. In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI.

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Large Language Models Neural Network Natural Language Processing Deep Learning 98

AssemblyAI

MARCH 21, 2023

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. And why do Graph Neural Networks matter in 2023? We find that the term Graph Neural Network consistently ranked in the top 3 keywords year over year.

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Marktechpost

JANUARY 18, 2024

GPU Clusters are one such method by which we can fuel these memory-intensive applications and facilitate parallel processing to enable the execution of complex algorithms. GPU Clusters are based on the principle of parallel processing and efficient data handling. What are GPU Clusters?

Neural Network 125

Neural Network Deep Learning Natural Language Processing Computer Vision 125

Towards AI

APRIL 8, 2023

Artificial Intelligence has rapidly become one of the most important fields of science, with applications ranging from image recognition and natural language processing to self-driving cars and robotics. Originally published on Towards AI. However, its evolution has been following the same patterns as the famous Moore’s law.

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AI Weekly

DECEMBER 14, 2023

theconversation.com Scientists Preparing to Turn on Computer Intended to Simulate Entire Human Brain Researchers at Western Sydney University in Australia have teamed up with tech giants Intel and Dell to build a massive supercomputer intended to simulate neural networks at the scale of the human brain.

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Unite.AI

DECEMBER 7, 2023

It's widely used in scenarios like game-playing and robotics, allowing computers to learn optimal decision-making through a process of trial and error. A-star Search: A-star is a search algorithm which help computers explore possibilities and find the best solution to solve a problem.

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