Introduction to Natural Language Processing (NLP)
KDnuggets
OCTOBER 25, 2019
Let’s talk about Natural Language Processing. Have you ever wondered how your personal assistant (e.g: Siri) is built? Do you want to build your own?
Transformer Models: The future of Natural Language Processing
Data Science Dojo
AUGUST 16, 2023
Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.
Join 17,000+
professionals
Sign Up for our Newsletter
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Webinars
Prepare Now: 2025s Must-Know Trends For Product And Data Leaders
Trending Sources
Transformer Models: The future of Natural Language Processing
Data Science Dojo
AUGUST 16, 2023
Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.
10 Free Top Notch Natural Language Processing Courses
KDnuggets
OCTOBER 7, 2019
Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics.
Webinar: Natural Language Processing for Digital Transformation of Unstructured Text
KDnuggets
DECEMBER 6, 2019
Learn how pharma and healthcare organizations are using the power of Natural Language Processing (NLP) to transform unstructured text into actionable structured data.
NLP Year in Review — 2019
KDnuggets
JANUARY 23, 2020
comments By Elvis Saravia, Affective Computing & NLP Researcher 2019 was an impressive year for the field of natural language processing (NLP). In this blog Read more »
Content-based Recommender Using Natural Language Processing (NLP)
KDnuggets
NOVEMBER 26, 2019
A guide to build a content-based movie recommender model based on NLP.
The application of natural language processing for the extraction of mechanistic information in toxicology
Explosion
MAY 9, 2024
2019) as a starting point, which allowed for a vocabulary (word vectors) and grammar trained on scientific literature. All steps were conducted using the open-source Python package spaCy. Specifically, the NER model was trained using scispaCy en-core-sci-lg (Neumann et al.,
Origins of Generative AI and Natural Language Processing with ChatGPT
ODSC - Open Data Science
JUNE 9, 2023
Once a set of word vectors has been learned, they can be used in various natural language processing (NLP) tasks such as text classification, language translation, and question answering. GPT-2 (2019) This model was even larger than GPT-1, with 1.5 or ChatGPT (2022) ChatGPT is also known as GPT-3.5
The Illustrated Word2Vec (2019)
Hacker News
APRIL 18, 2024
If you’ve ever used Siri, Google Assistant, Alexa, Google Translate, or even smartphone keyboard with next-word prediction, then chances are you’ve benefitted from this idea that has become central to Natural Language Processing models.
Exploring the Limits of Transfer Learning with a Unified Transformer (2019)
Hacker News
JULY 12, 2024
Transfer learning, where a model is first pre-trained on a data-rich task before being fine-tuned on a downstream task, has emerged as a powerful technique in natural language processing (NLP). The effectiveness of transfer learning has given rise to a diversity of approaches, methodology, and practice.
20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019
Analytics Vidhya
DECEMBER 17, 2019
The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya. Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. That’s the peg we hang our hat.
Deep Learning 
246
246 
7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019
Analytics Vidhya
OCTOBER 10, 2019
The post 7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019 appeared first on Analytics Vidhya. Picture a world where: Machines are able to have human-level conversations with us Computers understand the context of the conversation without having to be.
Analytics 217
217 
Top KDnuggets tweets, Oct 09-15: #DeepLearning for Natural Language Processing (#NLP) using RNNs & CNNs #KDN Post
KDnuggets
OCTOBER 16, 2019
Also: Kannada-MNIST: A new handwritten digits dataset in ML town; Math for Programmers; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; The Last SQL Guide for Data Analysis You’ll Ever Need.
Top Stories, Oct 7-13: 10 Free Top Notch Natural Language Processing Courses; The Last SQL Guide for Data Analysis You’ll Ever Need
KDnuggets
OCTOBER 14, 2019
Also: Activation maps for deep learning models in a few lines of code; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned; 10 Great Python Resources for Aspiring Data Scientists.
Reddit Post Classification
KDnuggets
SEPTEMBER 18, 2019
This article covers the implementation of a data scraping and natural language processing project which had two parts: scrape as many posts from Reddit’s API as allowed &then use classification models to predict the origin of the posts.
spaCy IRL 2019: 2 days of NLP in Berlin
Explosion
JULY 5, 2019
We were pleased to invite the spaCy community and other folks working on Natural Language Processing to Berlin this summer for a small and intimate event.
Is ChatGPT 4.5 leak real? Altman answered
Dataconomy
DECEMBER 15, 2023
It marked a significant advancement in natural language processing and understanding. GPT-2 (February 2019) : Building on the success of GPT-1, OpenAI released GPT-2, a model with a staggering 1.5 billion parameters.
Top Stories, Oct 21-27: Everything a Data Scientist Should Know About Data Management; How YouTube is Recommending Your Next Video
KDnuggets
OCTOBER 28, 2019
Also: Introduction to Natural Language Processing (NLP); Anomaly Detection, A Key Task for AI and Machine Learning, Explained; How to Become a (Good) Data Scientist — Beginner Guide.
Data Scientist 118
118 
Wouldn’t you like to halve your workload and double your earnings?
Dataconomy
JULY 4, 2023
Gartner coined the term “hyper automation” in 2019 to describe the integration of multiple automation technologies ( Image Credit ) What is hyper automation? They provide automated and interactive customer support, assist with information retrieval, and streamline various communication processes.
KDnuggets™ News 19:n37, Oct 2: The Future of Analytics & Data Science! Starting NLP with spaCy & Python
KDnuggets
OCTOBER 2, 2019
This week, find out what the future of analytics and data science holds; get an introduction to spaCy for natural language processing; find out how to use time series analysis for baseball; get to know your data; read 6 bits of advice for data scientists; and much, much more!
Data Science 144
144 
Top KDnuggets tweets, Oct 02-08: Turn #Python Scripts into Beautiful ML Tools – with Streamlit, an app framework built for #MachineLearning engineers
KDnuggets
OCTOBER 9, 2019
Also: 12 things I wish I'd known before starting as a Data Scientist; 10 Free Top Notch Natural Language Processing Courses; The Last SQL Guide for Data Analysis; The 4 Quadrants of #DataScience Skills and 7 Principles for Creating a Viral DataViz.
KDnuggets™ News 19:n38, Oct 9: The Last SQL Guide for Data Analysis; 4 Quadrants of Data Science Skills and 7 steps for Viral Data Visualization
KDnuggets
OCTOBER 9, 2019
Read a comprehensive SQL guide for data analysis; Learn how to choose the right clustering algorithm for your data; Find out how to create a viral DataViz using the data from Data Science Skills poll; Enroll in any of 10 Free Top Notch Natural Language Processing Courses; and more.
Data Analysis 122
122 
KDnuggets™ News 19:n41, Oct 30: Feature Selection: Beyond feature importance?; Time Series Analysis Using KNIME and Spark
KDnuggets
OCTOBER 30, 2019
; Time Series Analysis: A Simple Example with KNIME and Spark; 5 Advanced Features of Pandas and How to Use Them; How to Measure Foot Traffic Using Data Analytics; Introduction to Natural Language Processing (NLP); and much, much more!
Alien contact: Harvard professor foresees AI as first point of communication
Dataconomy
JUNE 21, 2023
In 2019, Israeli astronomer Loeb and his co-author Amir Siraj came to the conclusion that in 2014, Earth was struck by a body coming from outside our solar system. Alien crash expedition Lee added that Loeb had flown to Papua New Guinea to start a $1.5 Featured image credit: Possessed Photography on Unsplash
AI 171
171 
Explosion in 2019: Our Year in Review
Explosion
DECEMBER 28, 2019
As 2019 draws to a close and we step into the 2020s, we thought we’d take a look back at the year and all we’ve accomplished. was released – our first major upgrade to Prodigy for 2019. Sep 15: Adriane Boyd makes up the second spaCy developer team hire in 2019. Got a question? ✨ Feb 18: Finally in February, Prodigy v1.7.0
Rain AI shook hands with OpenAI
Dataconomy
DECEMBER 4, 2023
They are designed to mimic the brain’s ability to process information efficiently and with low power consumption, making them a promising solution for the demanding computational needs of AI tasks. Reduced latency NPUs offer lower latency compared to CPUs and GPUs, meaning they can process data and produce results more quickly.
AI 208
208 
NYU AI School Publishes 2022 Lectures
NYU Center for Data Science
MARCH 15, 2023
The NYU AI School grew from a 3-day workshop that took place in October 2019, with the first week-long event launched in February 2021. The program is organized by students from NYU Data Science, Courant Institute, and other departments.
A Gentle Introduction to GPTs
Mlearning.ai
FEBRUARY 19, 2023
You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?
Microsoft Word gets ChatGPT integration with new ‘Ghostwriter’ third-party add-in
FEBRUARY 1, 2023
A report Tuesday by Semafor said Microsoft is preparing to integrate GPT-4, the next version of OpenAI’s natural language processing technology, into its Bing search engine, potentially challenging Google’s dominance in search.
A comprehensive guide to learning LLMs (Foundational Models)
Mlearning.ai
JUNE 14, 2023
Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)
Accessing GLUE datasets with the Hugging Face API
Heartbeat
JANUARY 23, 2023
Image from Hugging Face Hub Introduction Most natural language processing models are built to address a particular problem, such as responding to inquiries regarding a specific area. This restricts the applicability of models for understanding human language. Alex Warstadt et al. print("1-",qqp["train"].homepage)
When will GPT 5 be released, and what should you expect from it?
Dataconomy
APRIL 3, 2023
A generative pre-trained transformer (GPT) is a large language model (LLM) neural network that can generate code, answer questions, and summarize text, among other natural language processing tasks. GPT This was state-of-the-art in 2019. This model was a proof-of-concept and was not released publicly.
The Blurring Lines Between AI Academia and Industry
Dataconomy
OCTOBER 22, 2024
In 2019, 65% of graduating North American PhDs in AI opted for industry roles , a significant jump from 44.4% With their vast amounts of data and access to powerful computing resources, they’re uniquely positioned to accelerate progress in machine learning, natural language processing, and computer vision.”
AI 113
113 
Modern NLP: A Detailed Overview. Part 2: GPTs
Towards AI
JULY 23, 2023
In the first part of the series, we talked about how Transformer ended the sequence-to-sequence modeling era of Natural Language Processing and understanding. Generating Wikipedia By Summarizing Long Sequences This work was published by Peter J Liu at Google in 2019.
Top NLP Skills, Frameworks, Platforms, and Languages for 2023
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.
Deep Learning 111
111 
Hypernetworks and Long-Form AI: Jason Phang’s Transformative Research in NLP
NYU Center for Data Science
DECEMBER 1, 2023
PEGASUS-X is an extension of PEGASUS, an existing model introduced in 2019. Jason Phang’s work epitomizes the blend of rigorous scientific inquiry and practical application that is pushing the boundaries of natural language processing at CDS, and laying a robust foundation for future explorations in this ever-evolving field.
AI 73
73 
NLP in Legal Discovery: Unleashing Language Processing for Faster Case Analysis
Heartbeat
AUGUST 23, 2023
But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. But what if there was a way to unravel this language puzzle swiftly and accurately?
Sailing into 2024: Machine Learning salary trends unveiled
Pickl AI
JANUARY 3, 2024
Career Advancement: Professionals can enhance earning potential by acquiring in-demand skills like Natural Language Processing, Deep Learning, and relevant certifications aligned with industry needs. Geographic Variations: The average salary of a Machine Learning professional in India is ₹12,95,145 per annum.
Behind the glory: the dark sides of AI models that big tech will not tell you.
Towards AI
FEBRUARY 10, 2023
Building natural language processing and computer vision models that run on the computational infrastructures of Amazon Web Services or Microsoft’s Azure is energy-intensive. The Myth of Clean Tech: Cloud Data Centers The data center has been a critical component of improvements in computing.
AI 83
83 
AI’s insatiable hunger for energy
Dataconomy
JUNE 7, 2024
Accelerating in 2019, AI and data centers will account for 1% of the world’s energy needs over a 5-year period, which is frankly scary. There is an uneven geographic distribution of data center energy consumption in the United States. Recent studies have started to highlight the environmental impact of AI.
How Analytics Shapes Our Music Tastes in the Era of Digital Streaming
Dataversity
FEBRUARY 16, 2022
In 2019, the music streaming market was valued at $12,831.2 Next in our blog series exploring interesting analytics use cases, we examine how machine learning algorithms dictate the music we listen to every day. million – a figure that’s expected to nearly double by 2027.
Analytics 52
52 
From checkers to chess: A brief history of IBM AI
IBM Journey to AI blog
AUGUST 13, 2024
An early hint of today’s natural language processing (NLP), Shoebox could calculate a series of numbers and mathematical commands spoken to it, creating a framework used by the smart speakers and automated customer service agents popular today. .
AI 75
75 
Graph Convolutional Networks for NLP Using Comet
Heartbeat
JUNE 6, 2023
In recent years, researchers have also explored using GCNs for natural language processing (NLP) tasks, such as text classification , sentiment analysis , and entity recognition. Once the GCN is trained, it is easier to process new graphs and make predictions about them. Richong, Z., Yongyi, M., & Xudong L.
Let's personalize your content