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. The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise.

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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

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ODSC - Open Data Science

SEPTEMBER 18, 2023

Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more. To get you started on your journey, we’ve released a new on-demand Introduction to NLP course. Here are some more details.

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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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ODSC - Open Data Science

OCTOBER 17, 2023

The whole world seems to be focused on NLP and generative AI these days. But without a strong understanding of deep learning, you’ll have a difficult time getting the most out of the cutting-edge developments in the industry. Register here The above sessions are just the start of your deep learning journey at ODSC West.

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Heartbeat

JUNE 23, 2023

However, with the advent of deep learning, researchers have explored various neural network architectures to model and forecast time series data. In this post, we will look at deep learning approaches for time series analysis and how they might be used in real-world applications. Let’s dive in!

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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. Deep learning algorithms have brought a massive improvement in medical imaging diagnosis.

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Mlearning.ai

JULY 11, 2023

Deep learning has transformed artificial intelligence, allowing machines to learn and make smart decisions. If you’re interested in exploring deep learning, this step-by-step guide will help you learn the basics and develop the necessary skills. Also, learn about common algorithms used in machine learning.

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Marktechpost

APRIL 23, 2024

By leveraging advanced algorithms, AI supports a range of applications, from anomaly detection in medical imaging to predicting disease progression, enhancing the overall efficacy of medical interventions. Advanced NLP techniques improve Electronic Health Records management, facilitating the extraction of valuable information.

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Sebastian Ruder

FEBRUARY 23, 2023

This post gives a brief overview of modularity in deep learning. For modular fine-tuning for NLP, check out our EMNLP 2022 tutorial. Fuelled by scaling laws, state-of-the-art models in machine learning have been growing larger and larger. We give an in-depth overview of modularity in our survey on Modular Deep Learning.

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Towards AI

JULY 20, 2023

It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. As the capabilities of high-powered computers and ML algorithms have grown, so have opportunities to improve the SLR process. This study by Bui et al.

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PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

Computer Vision 52

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Heartbeat

AUGUST 23, 2023

Enter Natural Language Processing (NLP) and its transformational power. Consider a scenario where legal practitioners are armed with clever algorithms capable of analyzing, comprehending, and extracting key insights from massive collections of legal papers. This is the promise of NLP: to transform the way we approach legal discovery.

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ODSC - Open Data Science

APRIL 18, 2023

In particular, finance has seen some of the strongest benefits from automation and analysis thanks to AI and machine learning. Now, we’d like to go a bit deeper and specifically examine the role of machine learning in algorithmic trading, including portfolio optimization and pattern recognition.

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Heartbeat

MARCH 15, 2023

But now, a computer can be taught to comprehend and process human language through Natural Language Processing (NLP), which was implemented, to make computers capable of understanding spoken and written language. Subscribe to Deep Learning Weekly for the latest research, resources, and industry news, delivered to your inbox.

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Unite.AI

SEPTEMBER 25, 2023

Initially, the attempts were simple and intuitive, with basic algorithms creating monotonous tunes. However, as technology advanced, so did the complexity and capabilities of AI music generators, paving the way for deep learning and Natural Language Processing (NLP) to play pivotal roles in this tech.

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AI Weekly

OCTOBER 19, 2023

arstechnica.com Applied use cases New technique based on 18th-century mathematics shows simpler AI models don't need deep learning Researchers from the University of Jyväskylä were able to simplify the most popular technique of artificial intelligence, deep learning, using 18th-century mathematics.

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Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. An algorithm, essentially a set of procedures, learns to identify patterns from a large set of examples (training data). The culmination of this training is a machine-learning model.

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Heartbeat

JULY 5, 2023

It interprets user input and generates suitable responses using artificial intelligence (AI) and natural language processing (NLP). It necessitates a thorough knowledge of natural language processing (NLP) methods. In this article, you will learn how to use RL and NLP to create an entire chatbot system.

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Towards AI

DECEMBER 28, 2023

Black box algorithms such as xgboost emerged as the preferred solution for a majority of classification and regression problems. The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. CS6910/CS7015: Deep Learning Mitesh M.

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John Snow Labs

OCTOBER 10, 2023

Join us for a talk on the journey of scaling ads ranking at Pinterest using innovative machine learning algorithms and innovation in ML platform. Throughout the process, we encountered various challenges and gained valuable lessons. The post LLM and Foundational Models in Ads Ranking appeared first on John Snow Labs.

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John Snow Labs

MAY 19, 2023

Natural Language Processing ( NLP ) is changing the way the legal sector operates. According to a report, the NLP market size is expected to reach $27.6 NLP understands and predicts law, converts unstructured text into a meaningful format that computers can understand and analyze. billion by 2026.

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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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AI Weekly

APRIL 11, 2024

And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses. Generative AI is igniting a new era of innovation within the back office.

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Heartbeat

JULY 11, 2023

Photo by Oleg Laptev on Unsplash By improving many areas of content generation, optimization, and analysis, natural language processing (NLP) plays a crucial role in content marketing. Artificial intelligence (AI) has a subject called natural language processing (NLP) that focuses on how computers and human language interact.

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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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John Snow Labs

JUNE 1, 2023

In this article, we will discuss the use of Clinical NLP in understanding the rich meaning that lies behind the doctor’s written analysis (clinical documents/notes) of patients. Contextualization – It is very important for a clinical NLP system to understand the context of what a doctor is writing about. family members).

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Heartbeat

NOVEMBER 7, 2023

NLP — Topic Modeling For a TV Series Episode Summary Introduction Many of us watch TV shows for leisure within our daily mundane routines via various online streaming platforms (such as Amazon Prime or Netflix), each having its share of show categories. Each episode present in the show contains a story with some difference in their nature.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. What makes a good AI conversationalist?

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NLP People

JUNE 5, 2018

Are you looking to study or work in the field of NLP? For this series, NLP People will be taking a closer look at the NLP education & development landscape in different parts of the world, including the best sites for job-seekers and where you can go for the leading NLP-related education programs on offer.

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NLP Data Mining Deep Learning Natural Language Processing 52

IBM Journey to AI blog

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Morgan and Spotify.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed.

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Mlearning.ai

MAY 5, 2023

These models, which are based on artificial intelligence and machine learning algorithms, are designed to process vast amounts of natural language data and generate new content based on that data. 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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IBM Journey to AI blog

JULY 11, 2023

Better machine learning (ML) algorithms, more access to data, cheaper hardware and the availability of 5G have contributed to the increasing application of AI in the healthcare industry, accelerating the pace of change. Also, that algorithm can be replicated at no cost except for hardware.

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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 Deep Learning? What is NLP?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 52

Unite.AI

OCTOBER 12, 2023

research scientist with over 16 years of professional experience in the fields of speech/audio processing and machine learning in the context of Automatic Speech Recognition (ASR), with a particular focus and hands-on experience in recent years on deep learning techniques for streaming end-to-end speech recognition.

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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 In this article, let’s dive deep into the Natural Language Toolkit (NLTK) data processing concepts for NLP data.

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