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?
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.
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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.
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 »
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.
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.
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.
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.
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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.
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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.
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.
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.
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!
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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.
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.
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.
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161 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.
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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: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!
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.
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.
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 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.,
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.
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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
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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.
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.
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.
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
Learn how to Build and Deploy a Chatbot in Minutes using Rasa (IPL Case Study!)
Analytics Vidhya
APRIL 28, 2019
Introduction Have you ever been stuck at work while a pulsating cricket match was going on? You need to meet a deadline but you. The post Learn how to Build and Deploy a Chatbot in Minutes using Rasa (IPL Case Study!) appeared first on Analytics Vidhya.
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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.
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.
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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 9 AI conferences and events in USA – 2023
Data Science Dojo
OCTOBER 10, 2023
Building bridges : Think of a young developer who attended an AI conference back in 2019. These gatherings are not mere events; they’re a sneak peek into the future of AI, offering fresh insights and developments straight from the minds of experts across academia, industry, and government.
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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.
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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock
AWS Machine Learning Blog
FEBRUARY 19, 2024
AWS launched their first inference chips (“Inferentia”) in 2019, and they have saved companies like Amazon over a hundred million dollars in capital expense. Amazon’s annual revenue increased from $245B in 2019 to $434B in 2022. Tell me again what was the revenue in 2019? Amazon’s revenue in 2019 was $245 billion.
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8 Revolutionary Applications Examples of Machine Learning in Real-Life
Smart Data Collective
MARCH 26, 2021
It entails deep learning from its neural networks, natural language processing (NLP), and constant changes based on incoming information. However, machine learning is an underlying dynamic that can improve worker safety during the construction process. Then, they can help people in daily life.
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Beyond data: Cloud analytics mastery for business brilliance
Dataconomy
SEPTEMBER 4, 2023
It uses natural language processing (NLP) techniques to extract valuable insights from textual data. For example, the 2019 Capital One breach exposed over 100 million customer records, highlighting the need for robust security measures.
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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.
Amazon SageMaker unveils the Cohere Command R fine-tuning model
AWS Machine Learning Blog
JULY 17, 2024
By fine-tuning on domain-specific data, businesses can enhance Cohere Command R’s accuracy, relevance, and effectiveness for their use cases, such as natural language processing, text generation, and question answering.
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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.”
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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium
AWS Machine Learning Blog
OCTOBER 5, 2023
His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. an AI start-up, and worked as the CEO and Chief Scientist in 2019–2021. He focuses on developing scalable machine learning algorithms.
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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?
AI trends in 2023: Graph Neural Networks
AssemblyAI
MARCH 21, 2023
Top 50 keywords in submitted research papers at ICLR 2022 ( source ) A recent bibliometric study systematically analysed this research trend, revealing an exponential growth of published research involving GNNs, with a striking +447% average annual increase in the period 2017-2019.
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