Unite.AI

OCTOBER 31, 2024

Authenticx addresses this gap by utilizing AI and natural language processing to analyze recorded interactions—such as calls, emails, and chats—providing healthcare organizations with actionable insights to make better business decisions. These labels become the foundation of our AI machine learning and deep learning models.

Natural Language Processing 130

Natural Language Processing Machine Learning AI Modeling Data Scientist 130

AI Weekly

JULY 13, 2023

techxplore.com A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs) Clinical data sharing can facilitate data-driven scientific research, allowing a broader range of questions to be addressed and thereby leading to greater understanding and innovation.

Neural Network 242

Neural Network Robotics ChatGPT Computer Vision 242

AI News

OCTOBER 15, 2024

Personalisation : Based on customer data, chatbots and virtual assistants can personalise their interactions with customers like using real names, remembering past interactions and providing responses that are tailored to what the customer is requesting. This can help businesses schedule maintenance ahead of time to avoid loss of production.

Machine Learning 293

Machine Learning Chatbots Business Intelligence Automation 293

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 NLP Machine Learning Deep Learning 52

Marktechpost

MAY 5, 2024

It covers topics such as clustering, predictive modeling, and advanced methods like ensemble learning using the scikit-learn toolkit. Participants also gain hands-on experience with open-source frameworks and libraries like TensorFlow and Scikit-learn. and demonstrates their application in various real-world applications.

Machine Learning 119

Machine Learning Python Neural Network Convolutional Neural Networks 119

IBM Journey to AI blog

DECEMBER 15, 2023

PyTorch is an open-source AI framework offering an intuitive interface that enables easier debugging and a more flexible approach to building deep learning models. It is a popular choice among researchers and developers for rapid software development prototyping and AI and deep learning research.

AI Tools 207

AI Tools Deep Learning Computer Vision Python 207

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 Many data we analyze as data scientists consist of a corpus of human-readable text.

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Machine Learning 52

John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. For visual question answering in Deep Learning using NLP, public datasets play a crucial role.

Natural Language Processing 40

Natural Language Processing Deep Learning NLP Convolutional Neural Networks 40

Pickl AI

NOVEMBER 22, 2024

They address significant challenges faced by traditional RNNs, particularly the vanishing gradient problem, which hampers the ability to learn long-term dependencies in sequential data. LSTMs are crucial for natural language processing tasks. Key Takeaways LSTMs address the vanishing gradient problem in RNNs.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing NLP 52

John Snow Labs

MAY 10, 2023

Despite the laborious nature of the task, the notes are not structured in a way that can be effectively analyzed by a computer. Structured data like CCDAs/FHIR APIs can help determine the disease but they give us a limited view of the actual patient record. They used this information to classify patients into four different groups.

Natural Language Processing 52

Natural Language Processing NLP Categorization Data Scientist 52

Pickl AI

SEPTEMBER 25, 2024

Summary: This blog delves into 20 Deep Learning applications that are revolutionising various industries in 2024. From healthcare to finance, retail to autonomous vehicles, Deep Learning is driving efficiency, personalization, and innovation across sectors.

Deep Learning 52

Deep Learning Algorithm Convolutional Neural Networks Neural Network 52

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences.

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Mlearning.ai

MAY 5, 2023

However, these early systems were limited in their ability to handle complex language structures and nuances, and they quickly fell out of favor. In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI.

Large Language Models 98

Large Language Models Neural Network Natural Language Processing Deep Learning 98

Pickl AI

FEBRUARY 7, 2025

Summary: Machine Learning and Deep Learning are AI subsets with distinct applications. ML works with structured data, while DL processes complex, unstructured data. Introduction In todays world of AI, both Machine Learning (ML) and Deep Learning (DL) are transforming industries, yet many confuse the two.

Deep Learning 52

Deep Learning Machine Learning Neural Network Convolutional Neural Networks 52

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. In a change from last year, there’s also a higher demand for those with data analysis skills as well.

NLP 111

NLP Data Science Deep Learning BERT 111

Marktechpost

MAY 10, 2024

Introduction to Machine Learning for Finance This course covers foundational machine learning concepts in banking, focusing on data analysis tailored for financial data. Credit Risk Modeling in Python This course teaches how financial firms analyze credit application data to make informed decisions.

Machine Learning 103

Machine Learning Python Neural Network Deep Learning 103

Unite.AI

SEPTEMBER 24, 2024

At the core of IBM Supply Chain is its ability to analyze vast amounts of data from multiple sources, including historical sales data, market trends, weather patterns, and social media sentiment. Looking ahead, the role of AI in supply chain management is only set to grow.

AI Tools 159

AI Tools Natural Language Processing Machine Learning Artificial Intelligence 159

IBM Journey to AI blog

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. 1) But what about AI’s potential specifically in the field of marketing? What is AI marketing?

Automation 240

Automation Data Scientist Machine Learning Chatbots 240

AssemblyAI

MAY 14, 2024

It uses natural language processing to identify and organize discussion points, decisions, and future tasks. Automated Data Analysis Marvin integrates advanced AI models to provide automated transcription services that convert audio and video data into accurate, actionable text.   Fireflies.ai

Natural Language Processing 147

Natural Language Processing Automation Robotics Categorization 147

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.

Deep Learning 52

Deep Learning Machine Learning Algorithm Neural Network 52

Towards AI

JULY 20, 2023

Jerome in his Study | Durer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.14.21 Let’s talk about “Cryptonite: How I Stopped Worrying and Learned(?) (hype) PyTorch Lightning V1.2.0- LineFlow was designed to use in all deep learning… github.com Repo Cypher ?‍?

NLP 98

NLP Deep Learning Data Analysis Natural Language Processing 98

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 225

Machine Learning Automation AI AI 225

Viso.ai

DECEMBER 17, 2024

PaddlePaddle (PArallel Distributed Deep LEarning), is a deep learning open-source platform. It is China’s very first independent R&D deep learning platform. It allows developers and researchers to build, train, and deploy deep learning models intended for industrial-grade applications.

Deep Learning 52

Deep Learning Computer Vision Neural Network Artificial Intelligence 52

Marktechpost

JULY 3, 2023

We will give details of Artificial Intelligence approaches such as Machine Learning and Deep Learning. By the end of the article, you will understand how innovative Deep Learning technology leverages historical data and accurately forecasts outcomes of lengthy and expensive experimental testing or 3D simulation (CAE).

Deep Learning 124

Deep Learning Machine Learning Neural Network Artificial Intelligence 124

IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

Dlabs.ai

JUNE 19, 2020

If you Google ‘ what’s needed for deep learning ,’ you’ll find plenty of advice that says vast swathes of labeled data (say, millions of images with annotated sections) are an absolute must. You may well come away thinking, deep learning is for ‘superhumans only’ — superhumans with supercomputers. Let’s get to it!

Deep Learning 52

Deep Learning Neural Network Machine Learning Computer Vision 52

Unite.AI

FEBRUARY 23, 2024

Here, learners delve into the art of crafting prompts for large language models like ChatGPT, learning how to leverage their capabilities for a range of applications. The second course, “ChatGPT Advanced Data Analysis,” focuses on automating tasks using ChatGPT's code interpreter.

Prompt Engineer 270

Prompt Engineer Prompt Engineering Large Language Models ChatGPT 270

Unite.AI

SEPTEMBER 20, 2024

The emergence of machine learning and Natural Language Processing (NLP) in the 1990s led to a pivotal shift in AI. Palmyra-Fin integrates multiple advanced AI technologies, including machine learning, NLP, and deep learning algorithms.

Machine Learning 130

Machine Learning Large Language Models NLP Deep Learning 130

AssemblyAI

JANUARY 23, 2024

Large Language Models, or LLMs , are Machine Learning models that understand, generate, and interact with human language.  End users can then be confident that they are making the most informed decisions possible based on this data analysis. 

Large Language Models 147

Large Language Models Natural Language Processing Categorization Deep Learning 147

Towards AI

JULY 8, 2024

Bigram Models Simplified Image generated by ChatGPT Introduction to Text Generation In Natural Language Processing, text generation creates text that can resemble human writing, ranging from simple tasks like auto-completing sentences to complex ones like writing articles or stories.

Computational Linguistics 108

Computational Linguistics Natural Language Processing Auto-complete Deep Learning 108

IBM Journey to AI blog

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Viso.ai

OCTOBER 10, 2024

Pattern Recognition in Data Analysis What is Pattern Recognition? Pattern recognition is useful for a multitude of applications, specifically in statistical data analysis and image analysis. In recent years, deep learning has proven to be the most successful method to solve recognition tasks.

Neural Network 98

Neural Network Computer Vision Deep Learning Machine Learning 98

Marktechpost

OCTOBER 23, 2024

Statistical inference is crucial for concluding a population based on sample data, which is needed for model evaluation and prediction. Bayesian statistics provides a framework for updating beliefs with new evidence, making it valuable for tasks such as recommendation systems and natural language processing.

Neural Network 115

Neural Network Algorithm Robotics Machine Learning 115

Marktechpost

FEBRUARY 23, 2025

Defining AI Agents At its simplest, an AI agent is an autonomous software entity capable of perceiving its surroundings, processing data, and taking action to achieve specified goals. Both IBM and GitHub detail how these engines incorporate deep learning and reinforcement learning to improve over time.

Natural Language Processing 55

Natural Language Processing Machine Learning AI AI 55

Towards AI

JUNE 27, 2023

For instance, today’s machine learning tools are pushing the boundaries of natural language processing, allowing AI to comprehend complex patterns and languages. However, the rapid evolution of these machine learning tools also presents a challenge for developers.

Machine Learning 98

Machine Learning ML Neural Network Natural Language Processing 98

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Machine learning algorithms like Naïve Bayes and support vector machines (SVM), and deep learning models like convolutional neural networks (CNN) are frequently used for text classification.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

Viso.ai

DECEMBER 1, 2023

AI vs. Machine Learning vs. Deep Learning First, it is important to gain a clear understanding of the basic concepts of artificial intelligence types. We often find the terms Artificial Intelligence and Machine Learning or Deep Learning being used interchangeably. Get the Whitepaper or a Demo.

AI Modeling 98

AI Modeling Neural Network Deep Learning Computer Vision 98