Search results for Natural Language Processing

Found 1051 documents, 5930 searched:

• Natural Language Processing: Bridging Human Communication with AI

  The post highlights real-world examples of NLP use cases across industries. It also covers NLP's objectives, challenges, and latest research developments.

  https://www.kdnuggets.com/natural-language-processing-bridging-human-communication-with-ai

• 25 Free Books to Master SQL, Python, Data Science, Machine Learning, and Natural Language Processing

  Discover a collection of best books to start your data career or master a new skill, all for free!

  https://www.kdnuggets.com/25-free-books-to-master-sql-python-data-science-machine-learning-and-natural-language-processing

• Comparing Natural Language Processing Techniques: RNNs, Transformers, BERT

  RNN, Transformers, and BERT are popular NLP techniques with tradeoffs in sequence modeling, parallelization, and pre-training for downstream tasks.

  https://www.kdnuggets.com/comparing-natural-language-processing-techniques-rnns-transformers-bert

• 7 Steps to Mastering Natural Language Processing

  Want to learn all about Natural Language Processing (NLP)? Here is a 7 step guide to help you go from the fundamentals of machine learning and Python to Transformers, recent advances in NLP, and beyond.

  https://www.kdnuggets.com/7-steps-to-mastering-natural-language-processing

• Introduction to Natural Language Processing

  An overview of Natural Language Processing (NLP) and its applications.

  https://www.kdnuggets.com/introduction-to-natural-language-processing

• 5 Free Books on Natural Language Processing to Read in 2023

  Large language models are getting released left right and center, and if you want to understand them better you need to know about NLP. Here are 5 Free books to help you.

  https://www.kdnuggets.com/2023/06/5-free-books-natural-language-processing-read-2023.html

• A Guide to Top Natural Language Processing Libraries

  Natural Language Processing is one of the hottest areas of research. While NLP tasks may seem a bit complicated at first, they can be made easier by using the right tools. This article covers a list of the top 6 NLP Libraries that can save you time and effort.

  https://www.kdnuggets.com/2023/04/guide-top-natural-language-processing-libraries.html

• Introducing the Testing Library for Natural Language Processing

  Deliver reliable, safe and effective NLP models.

  https://www.kdnuggets.com/2023/04/introducing-testing-library-natural-language-processing.html

• Natural Language Processing with spaCy

  Learn to build NLP projects using spaCy.

  https://www.kdnuggets.com/2023/01/natural-language-processing-spacy.html

• Data Representation for Natural Language Processing Tasks

  In NLP we must find a way to represent our data (a series of texts) to our systems (e.g. a text classifier). As Yoav Goldberg asks, "How can we encode such categorical data in a way which is amenable for us by a statistical classifier?" Enter the word vector.

  https://www.kdnuggets.com/2018/11/data-representation-natural-language-processing.html

• N-gram Language Modeling in Natural Language Processing

  N-gram is a sequence of n words in the modeling of NLP. How can this technique be useful in language modeling?

  https://www.kdnuggets.com/2022/06/ngram-language-modeling-natural-language-processing.html

• A Gentle Introduction to Natural Language Processing

  This gentle introduction to NLP covers the basics, and will help you move along to more advanced topics ASAP.

  https://www.kdnuggets.com/2022/06/gentle-introduction-natural-language-processing.html

• Natural Language Processing Key Terms, Explained

  This post provides a concise overview of 18 natural language processing terms, intended as an entry point for the beginner looking for some orientation on the topic.

  https://www.kdnuggets.com/2017/02/natural-language-processing-key-terms-explained.html

• How to Start Using Natural Language Processing With PyTorch

  In this guide, we will address some of the obvious questions that may arise when starting to dive into natural language processing, but we will also engage with deeper questions and give you the right steps to get started working on your own NLP programs.

  https://www.kdnuggets.com/2022/04/start-natural-language-processing-pytorch.html

• Transfer Learning for Image Recognition and Natural Language Processing

  Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.

  https://www.kdnuggets.com/2022/01/transfer-learning-image-recognition-natural-language-processing.html

• 7 Top Open Source Datasets to Train Natural Language Processing (NLP) & Text Models

  With a lot of excitement and research around NLP, there are growing opportunities to apply these technologies to real-world scenarios. It's not trivial to become familiar with NLP and these open-source data sets can help you increase your skills.

  https://www.kdnuggets.com/2021/11/top-open-source-datasets-nlp.html

• Best Resources to Learn Natural Language Processing in 2021

  In this article, the author has listed listed all the best resources to learn natural language processing including Online Courses, Tutorials, Books, and YouTube Videos.

  https://www.kdnuggets.com/2021/09/best-resources-learn-natural-language-processing-2021.html

• Linear Algebra for Natural Language Processing

  Learn about representing word semantics in vector space.

  https://www.kdnuggets.com/2021/08/linear-algebra-natural-language-processing.html

• Great New Resource for Natural Language Processing Research and Applications

  The NLP Index is a brand new resource for NLP code discovery, combining and indexing more than 3,000 paper and code pairs at launch. If you are interested in NLP research and locating the code and papers needed to understand an implement the latest research, you should check it out.

  https://www.kdnuggets.com/2021/05/great-new-resource-natural-language-processing-research-applications.html

• Learn Neural Networks for Natural Language Processing Now

  Still haven't come across enough quality contemporary natural language processing resources? Here is yet another freely-accessible offering from a top-notch university that might help quench your thirst for learning materials.

  https://www.kdnuggets.com/2021/04/learn-neural-networks-natural-language-processing-now.html

• 3 More Free Top Notch Natural Language Processing Courses

  Are you looking to continue your learning of natural language processing? This small collection of 3 free top notch courses will allow you to do just that.

  https://www.kdnuggets.com/2021/03/3-more-free-nlp-courses.html

• Applying Natural Language Processing in Healthcare

  New advances in natural language processing (NLP) based on deep learning and transfer learning have made a whole set of software use cases in healthcare viable. The Healthcare NLP Summit is a free online conference on April 6th and 7th, bringing together 30+ technical sessions from across the community that works to apply these advances in the real world.

  https://www.kdnuggets.com/2021/03/formulated-natural-language-processing-healthcare.html

• Natural Language Processing Pipelines, Explained

  This article presents a beginner's view of NLP, as well as an explanation of how a typical NLP pipeline might look.

  https://www.kdnuggets.com/2021/03/natural-language-processing-pipelines-explained.html

• Getting Started with 5 Essential Natural Language Processing Libraries">Getting Started with 5 Essential Natural Language Processing Libraries

  This article is an overview of how to get started with 5 popular Python NLP libraries, from those for linguistic data visualization, to data preprocessing, to multi-task functionality, to state of the art language modeling, and beyond.

  https://www.kdnuggets.com/2021/02/getting-started-5-essential-nlp-libraries.html

• Vision Transformers: Natural Language Processing (NLP) Increases Efficiency and Model Generality

  Why do we hear so little about transformer models applied to computer vision tasks? What about attention in computer vision networks?

  https://www.kdnuggets.com/2021/02/vision-transformers-nlp-efficiency-model-generality.html

• Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision">Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision

  This article compiles the 30 top Python libraries for deep learning, natural language processing & computer vision, as best determined by KDnuggets staff.

  https://www.kdnuggets.com/2020/11/top-python-libraries-deep-learning-natural-language-processing-computer-vision.html

• Top Stories, Oct 19-25: How to Explain Key Machine Learning Algorithms at an Interview; Roadmap to Natural Language Processing

  Also: Roadmap to Natural Language Processing (NLP); 5 Must-Read Data Science Papers (and How to Use Them); DeepMind Relies on this Old Statistical Method to Build Fair Machine Learning Models; Good-bye Big Data. Hello, Massive Data!

  https://www.kdnuggets.com/2020/10/top-news-week-1019-1025.html

• Roadmap to Natural Language Processing (NLP)">Roadmap to Natural Language Processing (NLP)

  Check out this introduction to some of the most common techniques and models used in Natural Language Processing (NLP).

  https://www.kdnuggets.com/2020/10/roadmap-natural-language-processing-nlp.html

• Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Semantics and Pragmatics

  Algorithms for text analytics must model how language works to incorporate meaning in language—and so do the people deploying these algorithms. Bender & Lascarides 2019 is an accessible overview of what the field of linguistics can teach NLP about how meaning is encoded in human languages.

  https://www.kdnuggets.com/2020/08/linguistic-fundamentals-natural-language-processing.html

• Accelerated Natural Language Processing: A Free Course From Amazon

  Amazon's Machine Learning University is making its online courses available to the public, starting with this Accelerated Natural Language Processing offering.

  https://www.kdnuggets.com/2020/08/accelerated-nlp-free-amazon-machine-learning-university.html

• How Natural Language Processing Is Changing Data Analytics

  As it becomes more prevalent, NLP will enable humans to interact with computers in ways not possible before. This new type of collaboration will allow improvements in a wide variety of human endeavors, including business, philanthropy, health, and communication.

  https://www.kdnuggets.com/2020/08/natural-language-processing-changing-data-analytics.html

• 5 Fantastic Natural Language Processing Books

  This curated collection of 5 natural language processing books attempts to cover a number of different aspects of the field, balancing the practical and the theoretical. Check out these 5 fantastic selections now in order to improve your NLP skills.

  https://www.kdnuggets.com/2020/07/5-fantastic-nlp-books.html

• Free From Stanford: Ethical and Social Issues in Natural Language Processing

  Perhaps it's time to take a look at this relatively new offering from Stanford, Ethical and Social Issues in Natural Language Processing (CS384), an advanced seminar course covering ethical and social issues in NLP.

  https://www.kdnuggets.com/2020/07/ethical-social-issues-natural-language-processing.html

• The Unreasonable Progress of Deep Neural Networks in Natural Language Processing (NLP)

  Natural language processing has made incredible advances through advanced techniques in deep learning. Learn about these powerful models, and find how close (or far away) these approaches are to human-level understanding.

  https://www.kdnuggets.com/2020/06/unreasonable-progress-deep-neural-networks-nlp.html

• Natural Language Processing with Python: The Free eBook">Natural Language Processing with Python: The Free eBook

  This free eBook is an introduction to natural language processing, and to NLTK, one of the most prevalent Python NLP libraries.

  https://www.kdnuggets.com/2020/06/natural-language-processing-python-free-ebook.html

• Natural Language Processing Recipes: Best Practices and Examples">Natural Language Processing Recipes: Best Practices and Examples

  Here is an overview of another great natural language processing resource, this time from Microsoft, which demonstrates best practices and implementation guidelines for a variety of tasks and scenarios.

  https://www.kdnuggets.com/2020/05/natural-language-processing-recipes-best-practices-examples.html

• Content-based Recommender Using Natural Language Processing (NLP)

  A guide to build a content-based movie recommender model based on NLP.

  https://www.kdnuggets.com/2019/11/content-based-recommender-using-natural-language-processing-nlp.html

• Introduction to Natural Language Processing (NLP)

  Have you ever wondered how your personal assistant (e.g: Siri) is built? Do you want to build your own? Perfect! Let’s talk about Natural Language Processing.

  https://www.kdnuggets.com/2019/10/introduction-natural-language-processing.html

• 10 Free Top Notch Natural Language Processing Courses">10 Free Top Notch Natural Language Processing Courses

  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.

  https://www.kdnuggets.com/2019/10/10-free-top-notch-courses-natural-language-processing.html

• Your Guide to Natural Language Processing (NLP)

  This extensive post covers NLP use cases, basic examples, Tokenization, Stop Words Removal, Stemming, Lemmatization, Topic Modeling, the future of NLP, and more.

  https://www.kdnuggets.com/2019/05/guide-natural-language-processing-nlp.html

• Natural Language Processing for Social Media

  Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about Natural Language Processing and how it is used in social media analytics.

  https://www.kdnuggets.com/2019/02/natural-language-processing-social-media.html

• NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing">NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing

  Trying to keep up with advancements at the overlap of neural networks and natural language processing can be troublesome. That's where the today's spotlighted resource comes in.

  https://www.kdnuggets.com/2019/01/nlp-overview-modern-deep-learning-techniques.html

• The Main Approaches to Natural Language Processing Tasks">The Main Approaches to Natural Language Processing Tasks

  Let's have a look at the main approaches to NLP tasks that we have at our disposal. We will then have a look at the concrete NLP tasks we can tackle with said approaches.

  https://www.kdnuggets.com/2018/10/main-approaches-natural-language-processing-tasks.html

• Free resources to learn Natural Language Processing

  An extensive list of free resources to help you learn Natural Language Processing, including explanations on Text Classification, Sequence Labeling, Machine Translation and more.

  https://www.kdnuggets.com/2018/09/free-resources-natural-language-processing.html

• Word Vectors in Natural Language Processing: Global Vectors (GloVe)

  A well-known model that learns vectors or words from their co-occurrence information is GlobalVectors (GloVe). While word2vec is a predictive model — a feed-forward neural network that learns vectors to improve the predictive ability, GloVe is a count-based model.

  https://www.kdnuggets.com/2018/08/word-vectors-nlp-glove.html

• Natural Language Processing Nuggets: Getting Started with NLP

  Check out this collection of NLP resources for beginners, starting from zero and slowly progressing to the point that readers should have an idea of where to go next.

  https://www.kdnuggets.com/2018/06/getting-started-natural-language-processing.html

• On the contribution of neural networks and word embeddings in Natural Language Processing

  In this post I will try to explain, in a very simplified way, how to apply neural networks and integrate word embeddings in text-based applications, and some of the main implicit benefits of using neural networks and word embeddings in NLP.

  https://www.kdnuggets.com/2018/05/contribution-neural-networks-word-embeddings-natural-language-processing.html

• Getting Started with spaCy for Natural Language Processing

  spaCy is a Python natural language processing library specifically designed with the goal of being a useful library for implementing production-ready systems. It is particularly fast and intuitive, making it a top contender for NLP tasks.

  https://www.kdnuggets.com/2018/05/getting-started-spacy-natural-language-processing.html

• Why Deep Learning is perfect for NLP (Natural Language Processing)">Why Deep Learning is perfect for NLP (Natural Language Processing)

  Deep learning brings multiple benefits in learning multiple levels of representation of natural language. Here we will cover the motivation of using deep learning and distributed representation for NLP, word embeddings and several methods to perform word embeddings, and applications.

  https://www.kdnuggets.com/2018/04/why-deep-learning-perfect-nlp-natural-language-processing.html

• 5 Fantastic Practical Natural Language Processing Resources

  This post presents 5 practical resources for getting a start in natural language processing, covering a wide array of topics and approaches.

  https://www.kdnuggets.com/2018/02/5-fantastic-practical-natural-language-processing-resources.html

• Natural Language Processing Library for Apache Spark – free to use

  Introducing the Natural Language Processing Library for Apache Spark - and yes, you can actually use it for free! This post will give you a great overview of John Snow Labs NLP Library for Apache Spark.

  https://www.kdnuggets.com/2017/11/natural-language-processing-library-apache-spark.html

• Building a Wikipedia Text Corpus for Natural Language Processing

  Wikipedia is a rich source of well-organized textual data, and a vast collection of knowledge. What we will do here is build a corpus from the set of English Wikipedia articles, which is freely and conveniently available online.

  https://www.kdnuggets.com/2017/11/building-wikipedia-text-corpus-nlp.html

• 7 Types of Artificial Neural Networks for Natural Language Processing">7 Types of Artificial Neural Networks for Natural Language Processing

  What is an artificial neural network? How does it work? What types of artificial neural networks exist? How are different types of artificial neural networks used in natural language processing? We will discuss all these questions in the following article.

  https://www.kdnuggets.com/2017/10/7-types-artificial-neural-networks-natural-language-processing.html

• 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing">5 Free Resources for Getting Started with Deep Learning for Natural Language Processing

  This is a collection of 5 deep learning for natural language processing resources for the uninitiated, intended to open eyes to what is possible and to the current state of the art at the intersection of NLP and deep learning. It should also provide some idea of where to go next.

  https://www.kdnuggets.com/2017/07/5-free-resources-getting-started-deep-learning-nlp.html

• Introduction to Natural Language Processing, Part 1: Lexical Units

  This series explores core concepts of natural language processing, starting with an introduction to the field and explaining how to identify lexical units as a part of data preprocessing.

  https://www.kdnuggets.com/2017/02/datascience-introduction-natural-language-processing-part1.html

• Deep Learning Research Review: Natural Language Processing">Deep Learning Research Review: Natural Language Processing

  This edition of Deep Learning Research Review explains recent research papers in Natural Language Processing (NLP). If you don't have the time to read the top papers yourself, or need an overview of NLP with Deep Learning, this post is for you.

  https://www.kdnuggets.com/2017/01/deep-learning-review-natural-language-processing.html

• Deep Learning Can be Applied to Natural Language Processing">Deep Learning Can be Applied to Natural Language Processing

  This post is a rebuttal to a recent article suggesting that neural networks cannot be applied to natural language given that language is not a produced as a result of continuous function. The post delves into some additional points on deep learning as well.

  https://www.kdnuggets.com/2017/01/deep-learning-applied-natural-language-processing.html

• Everything You Need to Know about Natural Language Processing

  Natural language processing (NLP) helps computers understand human speech and language. We define the key NLP concepts and explain how it fits in the bigger picture of Artificial Intelligence.

  https://www.kdnuggets.com/2015/12/natural-language-processing-101.html

• TweetNLP: Twitter Natural Language Processing

  A short overview of Natural Language Processing tools and utilities developed by Prof. Noah Smith, CMU and his team to analyze Twitter data.

  https://www.kdnuggets.com/2014/10/tweetnlp-twitter-natural-language-processing.html

• 7 Steps to Mastering Large Language Model Fine-tuning

  From theory to practice, learn how to enhance your NLP projects with these 7 simple steps.

  https://www.kdnuggets.com/7-steps-to-mastering-large-language-model-fine-tuning

• Data Science and the Go Programming Language

  Northwestern’s School of Professional Studies uses Go in Its Master of Science in Data Science Program.

  https://www.kdnuggets.com/2024/03/nwu-data-science-go-programming-language

• Free Mastery Course: Become a Large Language Model Expert

  It is a self-paced course that covers fundamental and advanced concepts of LLMs and teaches how to deploy them in production.

  https://www.kdnuggets.com/ree-mastery-course-become-a-large-language-model-expert

• Large Language Models Explained in 3 Levels of Difficulty

  Simple explanations, no matter what your level is right now.

  https://www.kdnuggets.com/large-language-models-explained-in-3-levels-of-difficulty

• A Comprehensive List of Resources to Master Large Language Models

  Large Language Models (LLMs) have now become an integral part of various applications. This article provides an extensive list of resources for anyone interested to dive into the world of LLMs.

  https://www.kdnuggets.com/a-comprehensive-list-of-resources-to-master-large-language-models

• How to Make Large Language Models Play Nice with Your Software Using LangChain

  Beyond simply chatting with an AI model and how LangChain elevates LLM interactions with humans.

  https://www.kdnuggets.com/how-to-make-large-language-models-play-nice-with-your-software-using-langchain

• 7 Steps to Running a Small Language Model on a Local CPU

  Discover how to run a small language model on your local CPU in just seven easy steps.

  https://www.kdnuggets.com/7-steps-to-running-a-small-language-model-on-a-local-cpu

• Building Data Pipelines to Create Apps with Large Language Models

  For production grade LLM apps, you need a robust data pipeline. This article talks about the different stages of building a Gen AI data pipeline and what is included in these stages.

  https://www.kdnuggets.com/building-data-pipelines-to-create-apps-with-large-language-models

• 7 Steps to Mastering Large Language Models (LLMs)

  Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.

  https://www.kdnuggets.com/7-steps-to-mastering-large-language-models-llms

• Leveraging GPT Models to Transform Natural Language to SQL Queries

  By training GPT to query with few-shot prompting.

  https://www.kdnuggets.com/leveraging-gpt-models-to-transform-natural-language-to-sql-queries

• Parallel Processing in Prompt Engineering: The Skeleton-of-Thought Technique

  Explore how the Skeleton-of-Thought prompt engineering technique enhances generative AI by reducing latency, offering structured output, and optimizing projects.

  https://www.kdnuggets.com/parallel-processing-in-prompt-engineering-the-skeleton-of-thought-technique

• OLAP vs. OLTP: A Comparative Analysis of Data Processing Systems

  A comprehensive comparison between OLAP and OLTP systems, exploring their features, data models, performance needs, and use cases in data engineering.

  https://www.kdnuggets.com/2023/08/olap-oltp-comparative-analysis-data-processing-systems.html

• Learn Data Cleaning and Preprocessing for Data Science with This Free eBook

  In this free ebook, readers will learn how to employ data cleaning and preprocessing for data science using the Python ecosystem.

  https://www.kdnuggets.com/2023/08/learn-data-cleaning-preprocessing-data-science-free-ebook.html

• Harnessing ChatGPT for Automated Data Cleaning and Preprocessing

  A guide to using ChatGPT for the tasks of data cleaning and preprocessing on a real-world dataset.

  https://www.kdnuggets.com/2023/08/harnessing-chatgpt-automated-data-cleaning-preprocessing.html

• Generative AI with Large Language Models: Hands-On Training

  This 2-hour training covers LLMs, their capabilities, and how to develop and deploy them. It uses hands-on code demos in Hugging Face and PyTorch Lightning.

  https://www.kdnuggets.com/2023/07/generative-ai-large-language-models-handson-training.html

• Unraveling the Power of Chain-of-Thought Prompting in Large Language Models

  This article delves into the concept of Chain-of-Thought (CoT) prompting, a technique that enhances the reasoning capabilities of large language models (LLMs). It discusses the principles behind CoT prompting, its application, and its impact on the performance of LLMs.

  https://www.kdnuggets.com/2023/07/power-chain-thought-prompting-large-language-models.html

• More Free Courses on Large Language Models

  Interested in learning about large language models? Get up and running with these free courses from DeepLearning.AI, Google Cloud, Udacity, and more.

  https://www.kdnuggets.com/2023/06/free-courses-large-language-models.html

• AI: Large Language & Visual Models

  This article discusses the significance of large language and visual models in AI, their capabilities, potential synergies, challenges such as data bias, ethical considerations, and their impact on the market, highlighting their potential for advancing the field of artificial intelligence.

  https://www.kdnuggets.com/2023/06/ai-large-language-visual-models.html

• What are Large Language Models and How Do They Work?

  Large language models represent a significant advancement in natural language processing and have transformed the way we interact with language-based technology. Learn why they’re important and how they work.

  https://www.kdnuggets.com/2023/05/large-language-models-work.html

• Introducing Healthcare-Specific Large Language Models from John Snow Labs

  John Snow Labs recently released a new LLM called BioGPT-JSL and capabilities tuned specifically to the medical domain. This article summarizes three things you should know about it. 

  https://www.kdnuggets.com/2023/04/john-snow-introducing-healthcare-specific-large-language-models-john-snow-labs.html

• Fine-Tuning OpenAI Language Models with Noisily Labeled Data

  Reduce LLM prediction error by 37% via data-centric AI.

  https://www.kdnuggets.com/2023/04/finetuning-openai-language-models-noisily-labeled-data.html

• Introducing TPU v4: Googles Cutting Edge Supercomputer for Large Language Models

  TPU v4: Google's fifth domain-specific architecture and third supercomputer for machine learning models.

  https://www.kdnuggets.com/2023/04/introducing-tpu-v4-googles-cutting-edge-supercomputer-large-language-models.html

• DataLang: A New Programming Language for Data Scientists… Created by ChatGPT?

  I recently tasked ChatGPT-4's to come up with a new programming language appropriate for data scientists in their day to day tasks. Let's look at the results, and the process of getting there.

  https://www.kdnuggets.com/2023/04/datalang-new-programming-language-data-scientists-chatgpt.html

• Top Free Courses on Large Language Models

  Interested in learning how ChatGPT and other AI chatbots work under the hood? Look no further. Check out these free courses and resources on large language models from Stanford, Princeton, ETH, and more.

  https://www.kdnuggets.com/2023/03/top-free-courses-large-language-models.html

• Top Open Source Large Language Models

  In this article, we will discuss the importance of large language models and suggest some of the top open source models and the NLP tasks they can be used for.

  https://www.kdnuggets.com/2022/09/john-snow-top-open-source-large-language-models.html

• The Benefits of Natural Language AI for Content Creators

  In this article, we will discuss the benefits of natural language AI for content creators, highlighting the key reasons why you should consider using it to improve your content output.

  https://www.kdnuggets.com/2022/08/benefits-natural-language-ai-content-creators.html

• Python String Processing Cheatsheet

  Try this string processing primer cheatsheet to gain an understanding of using Python to manipulate and process strings at a basic level.

  https://www.kdnuggets.com/2020/01/python-string-processing-primer.html

• New Computing Paradigm for AI: Processing-in-Memory (PIM) Architecture

  As larger deep neural networks are trained on the latest and fastest chip technologies, an important challenge remains that bottlenecks performance -- and it is not compute power. You can try to calculate a DNN as fast as possible, but there is data -- and it has to move. Data pipelines on the chip are expensive and new solutions must be developed to advance capabilities.

  https://www.kdnuggets.com/2021/10/samsung-computing-paradigm-ai-in-memory.html

• Text Preprocessing Methods for Deep Learning

  While the preprocessing pipeline we are focusing on in this post is mainly centered around Deep Learning, most of it will also be applicable to conventional machine learning models too.

  https://www.kdnuggets.com/2021/09/text-preprocessing-methods-deep-learning.html

• Deep Learning-based Real-time Video Processing

  In this article, we explore how to build a pipeline and process real-time video with Deep Learning to apply this approach to business use cases overviewed in our research.

  https://www.kdnuggets.com/2021/02/deep-learning-based-real-time-video-processing.html

• Exploring GPT-3: A New Breakthrough in Language Generation

  GPT-3 is the largest natural language processing (NLP) transformer released to date, eclipsing the previous record, Microsoft Research’s Turing-NLG at 17B parameters, by about 10 times. This has resulted in an explosion of demos: some good, some bad, all interesting.

  https://www.kdnuggets.com/2020/08/exploring-gpt-3-breakthrough-language-generation.html

• KDnuggets™ News 20:n29, Jul 29: Easy Guide To Data Preprocessing In Python; Building a better Spark UI; Computational Algebra for Coders: The Free Course

  An easy guide to data pre-processing in Python; Monitoring Apache Spark with a better Spark UI; Computational Linear Algebra for Coders: the free course; Labelling data with Snorkel; Bayesian Statistics.

  https://www.kdnuggets.com/2020/n29.html

• From Languages to Information: Another Great NLP Course from Stanford">From Languages to Information: Another Great NLP Course from Stanford

  Check out another example of a Stanford NLP course and its freely available courseware.

  https://www.kdnuggets.com/2020/06/languages-information-another-great-nlp-course-stanford.html

• Google Unveils TAPAS, a BERT-Based Neural Network for Querying Tables Using Natural Language

  The new neural network extends BERT to interact with tabular datasets.

  https://www.kdnuggets.com/2020/05/google-tapas-bert-neural-network-querying-natural-language.html

• Microsoft Open Sources ZeRO and DeepSpeed: The Technologies Behind the Biggest Language Model in History

  The two efforts enable the training of deep learning models at massive scale.

  https://www.kdnuggets.com/2020/02/microsoft-open-sources-zero-deepspeed-language-model.html

• A Comprehensive Guide to Natural Language Generation

  Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.

  https://www.kdnuggets.com/2020/01/guide-natural-language-generation.html

• Data Cleaning and Preprocessing for Beginners

  Careful preprocessing of data for your machine learning project is crucial. This overview describes the process of data cleaning and dealing with noise and missing data.

  https://www.kdnuggets.com/2019/11/data-cleaning-preprocessing-beginners.html

• Natural Language in Python using spaCy: An Introduction

  This article provides a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries.

  https://www.kdnuggets.com/2019/09/natural-language-python-using-spacy-introduction.html

• Understanding Tensor Processing Units

  The Tensor Processing Unit (TPU) is Google's custom tool to accelerate machine learning workloads using the TensorFlow framework. Learn more about what TPUs do and how they can work for you.

  https://www.kdnuggets.com/2019/07/understanding-tensor-processing-units.html

• NLP vs. NLU: from Understanding a Language to Its Processing">NLP vs. NLU: from Understanding a Language to Its Processing

  As AI progresses and the technology becomes more sophisticated, we expect existing techniques to evolve. With these changes, will the well-founded natural language processing give way to natural language understanding? Or, are the two concepts subtly distinct to hold their own niche in AI?

  https://www.kdnuggets.com/2019/07/nlp-vs-nlu-understanding-language-processing.html

• All you need to know about text preprocessing for NLP and Machine Learning

  We present a comprehensive introduction to text preprocessing, covering the different techniques including stemming, lemmatization, noise removal, normalization, with examples and explanations into when you should use each of them.

  https://www.kdnuggets.com/2019/04/text-preprocessing-nlp-machine-learning.html

• ELMo: Contextual Language Embedding

  Create a semantic search engine using deep contextualised language representations from ELMo and why context is everything in NLP.

  https://www.kdnuggets.com/2019/01/elmo-contextual-language-embedding.html

• Comparison of the Top Speech Processing APIs

  There are two main tasks in speech processing. First one is to transform speech to text. The second is to convert the text into human speech. We will describe the general aspects of each API and then compare their main features in the table.

  https://www.kdnuggets.com/2018/12/activewizards-comparison-speech-processing-apis.html

• Text Preprocessing in Python: Steps, Tools, and Examples

  We outline the basic steps of text preprocessing, which are needed for transferring text from human language to machine-readable format for further processing. We will also discuss text preprocessing tools.

  https://www.kdnuggets.com/2018/11/text-preprocessing-python.html

• Comparison of the Most Useful Text Processing APIs">Comparison of the Most Useful Text Processing APIs

  There is a need to compare different APIs to understand key pros and cons they have and when it is better to use one API instead of the other. Let us proceed with the comparison.

  https://www.kdnuggets.com/2018/08/comparison-most-useful-text-processing-apis.html

• Understanding Language Syntax and Structure: A Practitioner’s Guide to NLP">Understanding Language Syntax and Structure: A Practitioner’s Guide to NLP

  Knowledge about the structure and syntax of language is helpful in many areas like text processing, annotation, and parsing for further operations such as text classification or summarization.

  https://www.kdnuggets.com/2018/08/understanding-language-syntax-and-structure-practitioners-guide-nlp-3.html

• Text Wrangling & Pre-processing: A Practitioner’s Guide to NLP

  I will highlight some of the most important steps which are used heavily in Natural Language Processing (NLP) pipelines and I frequently use them in my NLP projects.

  https://www.kdnuggets.com/2018/08/practitioners-guide-processing-understanding-text-2.html

• How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning

  An end-to-end example of how to build a system that can search objects semantically.

  https://www.kdnuggets.com/2018/06/natural-language-semantic-search-arbitrary-objects-deep-learning.html

• Text Data Preprocessing: A Walkthrough in Python">Text Data Preprocessing: A Walkthrough in Python

  This post will serve as a practical walkthrough of a text data preprocessing task using some common Python tools.

  https://www.kdnuggets.com/2018/03/text-data-preprocessing-walkthrough-python.html

• Text Processing in R

  There are good reasons to want to use R for text processing, namely that we can do it, and that we can fit it in with the rest of our analyses. Furthermore, there is a lot of very active development going on in the R text analysis community right now.

  https://www.kdnuggets.com/2018/03/text-processing-r.html

• A General Approach to Preprocessing Text Data

  Recently we had a look at a framework for textual data science tasks in their totality. Now we focus on putting together a generalized approach to attacking text data preprocessing, regardless of the specific textual data science task you have in mind.

  https://www.kdnuggets.com/2017/12/general-approach-preprocessing-text-data.html

• Natural Language Generation overview – is NLG is worth a thousand pictures ?

  NLG tools automate the analysis and enhance traditional BI platforms by explaining in plain English the significance of visualizations and findings – here is an overview of the market.

  https://www.kdnuggets.com/2017/05/nlg-natural-language-generation-overview.html

• Why Java is the Language of Choice for the Internet of Things (IoT)

  What has caused this Java revival and why is Java so useful in the Internet of Things? Better yet, what is the Internet of Things?

  https://www.kdnuggets.com/2017/05/java-language-choice-iot.html

• KDnuggets News, July 5: A Rotten Data Science Project • 10 AI Chrome Extensions for Data Scientists Cheat Sheet

  Data Science Project of Rotten Tomatoes Movie Rating Prediction: First Approach • 10 AI Chrome Extensions for Data Scientists Cheat Sheet • Generate Music From Text Using Google MusicLM • 5 Free Books on Natural Language Processing to Read in 2023 • Stable Diffusion: Basic Intuition Behind Generative AI

  https://www.kdnuggets.com/2023/n24.html

• 5 Advance Projects for Data Science Portfolio

  Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.

  https://www.kdnuggets.com/2023/03/5-advance-projects-data-science-portfolio.html

• A Complete Collection of Data Science Free Courses – Part 2

  The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

  https://www.kdnuggets.com/2023/03/complete-collection-data-science-free-courses-part-2.html

• 5 Machine Learning Skills Every Machine Learning Engineer Should Know in 2023

  Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.

  https://www.kdnuggets.com/2023/03/5-machine-learning-skills-every-machine-learning-engineer-know-2023.html

• The ABCs of NLP, From A to Z

  There is no shortage of tools today that can help you through the steps of natural language processing, but if you want to get a handle on the basics this is a good place to start. Read about the ABCs of NLP, all the way from A to Z.

  https://www.kdnuggets.com/2022/10/abcs-nlp-a-to-z.html

• The Complete Collection of Data Science Projects – Part 2

  The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

  https://www.kdnuggets.com/2022/08/complete-collection-data-science-projects-part-2.html

• The Complete Collection of Data Science Interviews – Part 2

  The second part covers the list of Data Management, Data Engineering, Machine Learning, Deep Learning, Natural Language Processing, MLOps, Cloud Computing, and AI Manager interview questions.

  https://www.kdnuggets.com/2022/06/complete-collection-data-science-interviews-part-2.html

• The Complete Collection of Data Science Books – Part 2

  Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-2.html

• Summarization with GPT-3

  GPT-3 models are quite convincing and represent the rising power of Cloud AI. Read this excerpt from the book Transformers for Natural Language Processing, Second Edition to see how easy getting started with summarization with GPT-3 can be.

  https://www.kdnuggets.com/2022/04/packt-summarization-gpt3.html

• The Complete Collection of Data Science Cheat Sheets – Part 2

  A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

  https://www.kdnuggets.com/2022/02/complete-collection-data-science-cheat-sheets-part-2.html

• Where NLP is heading">Where NLP is heading

  Natural language processing research and applications are moving forward rapidly. Several trends have emerged on this progress, and point to a future of more exciting possibilities and interesting opportunities in the field.

  https://www.kdnuggets.com/2021/11/where-nlp-is-heading.html

• KDnuggets™ News 21:n34, Sep 8: Do You Read Excel Files with Python? There is a 1000x Faster Way; Hypothesis Testing Explained

  Do You Read Excel Files with Python? There is a 1000x Faster Way; Hypothesis Testing Explained; Data Science Cheat Sheet 2.0; 6 Cool Python Libraries That I Came Across Recently; Best Resources to Learn Natural Language Processing in 2021

  https://www.kdnuggets.com/2021/n34.html

• The Essential Guide to Transformers, the Key to Modern SOTA AI

  You likely know Transformers from their recent spate of success stories in natural language processing, computer vision, and other areas of artificial intelligence, but are familiar with all of the X-formers? More importantly, do you know the differences, and why you might use one over another?

  https://www.kdnuggets.com/2021/06/essential-guide-transformers-key-modern-sota-ai.html

• A Beginner’s Guide to the CLIP Model

  CLIP is a bridge between computer vision and natural language processing. I'm here to break CLIP down for you in an accessible and fun read! In this post, I'll cover what CLIP is, how CLIP works, and why CLIP is cool.

  https://www.kdnuggets.com/2021/03/beginners-guide-clip-model.html

• Hugging Face Transformers Package – What Is It and How To Use It

  The rapid development of Transformers have brought a new wave of powerful tools to natural language processing. These models are large and very expensive to train, so pre-trained versions are shared and leveraged by researchers and practitioners. Hugging Face offers a wide variety of pre-trained transformers as open-source libraries, and you can incorporate these with only one line of code.

  https://www.kdnuggets.com/2021/02/hugging-face-transformer-basics.html

• 6 NLP Techniques Every Data Scientist Should Know">6 NLP Techniques Every Data Scientist Should Know

  Natural language processing has already begun to transform to way humans interact with computers, and its advances are moving rapidly. The field is built on core methods that must first be understood, with which you can then launch your data science projects to a new level of sophistication and value.

  https://www.kdnuggets.com/2021/02/6-nlp-techniques.html

• Top KDnuggets tweets, Nov 04-10: #DataVisualization of people votes. Land doesn’t vote. People do.

  Also: Accelerated Natural Language Processing: A #Free Amazon #MachineLearning University Course; Essential data science skills that no one talks about; U.S. election maps are wildly misleading, so this designer fixed them; Top Certificates and Certifications in #Analytics, #DataScience, #MachineLearning and AI

  https://www.kdnuggets.com/2020/11/top-tweets-nov04-10.html

• Software 2.0 takes shape

  Software developers remain in very high demand as many organizations continue to experience workloads that far exceed available talent. AI-enhanced approaches that automate more areas of the software development lifecycle are in development with interesting potentials for how machine learning and natural language processing can significantly impact how software is designed, developed, tested, and deployed in the future.

  https://www.kdnuggets.com/2020/10/software-20-takes-shape.html