Search results for Programming Natural Language Processing

    Found 326 documents, 5930 searched:

  • 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

  • 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

  • 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 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

  • 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

  • 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

  • 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

  • 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

  • Free eBook: 10 Practical Python Programming Tricks

    Check out this free ebook of tip and tricks for getting ahead with your Python programming skills.

    https://www.kdnuggets.com/2023/04/free-ebook-10-practical-python-programming-tricks.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

  • Linear Programming 101 for Data Scientists

    This post provides an overview of topics in linear programming, history, and recent advances, software packages, common problem specifications, and a case study using Toronto shelters data and the PuLP software package.

    https://www.kdnuggets.com/2023/02/linear-programming-101-data-scientists.html

  • Genetic Programming in Python: The Knapsack Problem

    This article explores the knapsack problem. We will discuss why it is difficult to solve traditionally and how genetic programming can help find a "good enough" solution. We will then look at a Python implementation of this solution to test out for ourselves.

    https://www.kdnuggets.com/2023/01/knapsack-problem-genetic-programming-python.html

  • ChatGPT as a Python Programming Assistant

    KDnuggets Top Blog Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out.

    https://www.kdnuggets.com/2023/01/chatgpt-python-programming-assistant.html

  • Natural Language Processing with spaCy

    Learn to build NLP projects using spaCy.

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

  • Free Intermediate Python Programming Crash Course

    Master the basics of python with this free crash course.

    https://www.kdnuggets.com/2022/12/free-intermediate-python-programming-crash-course.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

  • 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

  • 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

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

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

  • 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

  • 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

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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Are there programming frameworks for web content mining?

    Bing Liu answers: Although many Web content mining problems have the same framework of extraction and integration, the current techniques for dealing with them are Read more »

    https://www.kdnuggets.com/faq/web-mining-frameworks.html

  • Ultimate Collection of 50 Free Courses for Mastering Data Science

    The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

    https://www.kdnuggets.com/ultimate-collection-of-50-free-courses-for-mastering-data-science

  • The 8 AI Search Engines That You Should Replace Google With

    GenAI has enabled new search engine platforms with unique features and advantages, challenging Google's dominance.

    https://www.kdnuggets.com/top-8-ai-search-engine-that-you-should-replace-with-google

  • Boost Your Data Science Skills: The Essential SQL Certifications You Need

    If you are a data scientist who works with large amounts of data and hasn’t learned SQL yet - now might be the time.

    https://www.kdnuggets.com/boost-your-data-science-skills-the-essential-sql-certifications-you-need

  • Exploring the Potential of Transfer Learning in Small Data Scenarios

    This article has shown how transfer learning can be used to help you solve small data problems, while also highlighting the benefits of using it in other fields.

    https://www.kdnuggets.com/exploring-the-potential-of-transfer-learning-in-small-data-scenarios

  • 5 Courses to Master LLMs

    The future world is full of LLM, and you don’t want to miss this most sought skill.

    https://www.kdnuggets.com/5-courses-to-master-llms

  • Top 6 YouTube Series for Data Science Beginners

    Want to start your data science journey from home, for free, and work at your own pace? Have a dive into this data science roadmap using the YouTube series.

    https://www.kdnuggets.com/top-6-youtube-series-for-data-science-beginners

  • 7 Free Harvard University Courses to Advance Your Skills

    Transform your tech career with one of the best universities in the world!

    https://www.kdnuggets.com/7-free-harvard-university-courses-to-advance-your-skills

  • Prompt Engineering: An Integrated Dream

    Clickbait headlines like "AI's Hottest Job" have promised a career that anyone who knows how to chat with AI could pay a six-figure salary with no computer background. But is this reality, or just another internet pipe dream? Let's ditch the sensationalism and delve into the actual job market data to find out.

    https://www.kdnuggets.com/prompt-engineering-an-integrated-dream

  • 2024 Tech Trends: AI Breakthroughs & Development Insights from O’Reilly’s Free Report

    Want to prepare your tech career for 2024 and onwards? Have a look at O’Reilly’s FREE technology trends report.

    https://www.kdnuggets.com/2024-tech-trends-ai-breakthroughs-development-insights-oreilly-free-report

  • OpenAI API for Beginners: Your Easy-to-Follow Starter Guide

    Learn how to use OpenAI Python API for accessing language, embedding, audio, vision, and image generation models.

    https://www.kdnuggets.com/openai-api-for-beginners-your-easy-to-follow-starter-guide

  • What Junior ML Engineers Actually Need to Know to Get Hired?

    This article will provided you with a better understanding of what skills are required for a junior ML developer to be considered for a job. If you are looking to land your first job, you should read this article thoroughly.

    https://www.kdnuggets.com/what-junior-ml-engineers-actually-need-to-know-to-get-hired

  • Back to Basics Pathway

    Kickstart your 2024 with KDnuggets Back to Basics Data Science pathway!

    https://www.kdnuggets.com/back-to-basics-pathway

  • Free Harvard Course: Introduction to AI with Python

    Looking for a great course to learn Artificial Intelligence with Python? Check out this free course from Harvard University.

    https://www.kdnuggets.com/free-harvard-course-introduction-to-ai-with-python

  • 10 GitHub Repositories to Master Machine Learning

    The blog covers machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job.

    https://www.kdnuggets.com/10-github-repositories-to-master-machine-learning

  • Back to Basics Week 4: Advanced Topics and Deployment

    Welcome back to Week 4 of KDnuggets’ "Back to Basics" series. This week, we will dive into more advanced topics such as neural networks and deployment.

    https://www.kdnuggets.com/back-to-basics-week-4-advanced-topics-and-deployment

  • Job Trends in Data Analytics: Part 2

    Check out these skillsets in demand for the data analytics job market.

    https://www.kdnuggets.com/job-trends-in-data-analytics-part-2

  • The 5 Best Vector Databases You Must Try in 2024

    The top vector databases are known for their versatility, performance, scalability, consistency, and efficient algorithms in storing, indexing, and querying vector embeddings for AI applications.

    https://www.kdnuggets.com/the-5-best-vector-databases-you-must-try-in-2024

  • A Microsoft Engineer’s Guide to AI Innovation and Leadership

    Dive into the insights of AI innovation with Microsoft's Senior Software Engineer, Manas Joshi: A journey of technology, triumph, and teachings for the next generation.

    https://www.kdnuggets.com/a-microsoft-engineer-guide-to-ai-innovation-and-leadership

  • 5 Free University Courses on Data Analytics

    Thinking about getting into the data analytical world but do not know where to start? Have a look at these 5 FREE university courses on data analytics.

    https://www.kdnuggets.com/5-free-university-courses-on-data-analytics

  • An Honest Comparison of Open Source Vector Databases

    We will explore their use cases, key features, performance metrics, supported programming languages, and more to provide a comprehensive and unbiased overview of each database.

    https://www.kdnuggets.com/an-honest-comparison-of-open-source-vector-databases

  • Mastering the Data Universe: Key Steps to a Thriving Data Science Career

    This article covered the six main pillars of a data science career from learning skills to getting a job.

    https://www.kdnuggets.com/mastering-the-data-universe-key-steps-to-a-thriving-data-science-career

  • Unveiling Hidden Patterns: An Introduction to Hierarchical Clustering

    In this guide to hierarchical clustering, learn how agglomerative and divisive clustering algorithms work. Also build a hierarchical clustering model in Python using Scipy.

    https://www.kdnuggets.com/unveiling-hidden-patterns-an-introduction-to-hierarchical-clustering

  • SQL in Pandas with Pandasql

    Want to query your pandas dataframes using SQL? Learn how to do so using the Python library Pandasql.

    https://www.kdnuggets.com/sql-in-pandas-with-pandasql

  • Job Trends in Data Analytics: NLP for Job Trend Analysis

    Perform job trend analysis and check the results using NLP.

    https://www.kdnuggets.com/job-trends-in-data-analytics-nlp-for-job-trend-analysis

  • 5 Free Books to Help You Master Python

    From the basics of Python to clean architecture and more, here are five free books to level up your Python skills.

    https://www.kdnuggets.com/5-free-books-to-help-you-master-python

  • Unveiling Unsupervised Learning

    Explore the unsupervised learning paradigm. Familiarize yourself with the key concepts, techniques, and popular unsupervised learning algorithms.

    https://www.kdnuggets.com/unveiling-unsupervised-learning

  • A Comprehensive Guide to Pinecone Vector Databases

    This blog discusses vector databases, specifically pinecone vector databases. A vector database is a type of database that stores data as mathematical vectors, which represent features or attributes. These vectors have multiple dimensions, capturing complex data relationships. This allows for efficient similarity and distance calculations, making it useful for tasks like machine learning, data analysis, and recommendation systems.

    https://www.kdnuggets.com/a-comprehensive-guide-to-pinecone-vector-databases

  • Profiling Python Code Using timeit and cProfile

    An introductory guide to profiling Python code using the timeit and cProfile modules.

    https://www.kdnuggets.com/profiling-python-code-using-timeit-and-cprofile

  • Getting Started with SQL in 5 Steps

    This comprehensive SQL tutorial covers everything from setting up your SQL environment to mastering advanced concepts like joins, subqueries, and optimizing query performance. With step-by-step examples, this guide is perfect for beginners looking to enhance their data management skills.

    https://www.kdnuggets.com/5-steps-getting-started-with-sql

  • Introduction to Databases in Data Science

    Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.

    https://www.kdnuggets.com/introduction-to-databases-in-data-science

  • Want to Become a Data Scientist? Part 1: 10 Hard Skills You Need

    A quick 10-step hard skill guide on what you need to become a Data Scientist.

    https://www.kdnuggets.com/want-to-become-a-data-scientist-part-1-10-hard-skills-you-need

  • Getting Started with Python Data Structures in 5 Steps

    This tutorial covers Python's foundational data structures - lists, tuples, dictionaries, and sets. Learn their characteristics, use cases, and practical examples, all in 5 steps.

    https://www.kdnuggets.com/5-steps-getting-started-python-data-structures

  • Python Basics: Syntax, Data Types, and Control Structures

    Want to learn Python? Get started today by learning Python's syntax, supported data types, and control structures.

    https://www.kdnuggets.com/python-basics-syntax-data-types-and-control-structures

  • Happy 30th Anniversary KDnuggets!

    KDnuggets celebrates its 30th anniversary with month-long initiatives. First, a "Back to Basics" campaign updates foundational data science content for beginners. Second, in partnership with O'Reilly, the "30 for 30" giveaway offers a free ebook daily to newsletter subscribers.

    https://www.kdnuggets.com/happy-30th-anniversary-kdnuggets

  • 4 Python Itertools Filter Functions You Probably Didn’t Know

    And why you should learn how to use them to filter Python sequences more elegantly.

    https://www.kdnuggets.com/2023/08/4-python-itertools-filter-functions-probably-didnt-know.html

  • LangChain + Streamlit + Llama: Bringing Conversational AI to Your Local Machine

    Integrating Open Source LLMs and LangChain for Free Generative Question Answering (No API Key required).

    https://www.kdnuggets.com/2023/08/langchain-streamlit-llama-bringing-conversational-ai-local-machine.html

  • Data Scientists Need to Specialize to Survive the Tech Winter

    In this article, I explore the benefits of specialization for data scientists. Drawing on my own experience as a data scientist, I argue that specializing in a specific area can help you stand out in a crowded job market and provide you with more fulfilling career opportunities.

    https://www.kdnuggets.com/2023/08/data-scientists-need-specialize-survive-tech-winter.html

  • How To Speed Up SQL Queries Using Indexes [Python Edition]

    Learn to work with SQLite databases using Python’s built-in sqlite3 module. Also learn how to create indexes to speed up queries.

    https://www.kdnuggets.com/2023/08/speed-sql-queries-indexes-python-edition.html

  • Unveiling StableCode: A New Horizon in AI-Assisted Coding

    This article explores StableCode, an innovative AI product by Stability AI, designed to enhance coding efficiency and accessibility. It delves into its unique features, underlying technology, and potential impact on the developer community.

    https://www.kdnuggets.com/2023/08/unveiling-stablecode-new-horizon-ai-assisted-coding

  • Pythia: A Suite of 16 LLMs for In-Depth Research

    Pythia is a suite of 16 large language models by Eleuther AI. It helps understand and analyze autoregressive large language models during training and scaling.

    https://www.kdnuggets.com/2023/08/pythia-suite-16-llms-indepth-research.html

  • Mastering Regular Expressions with Python

    This article dives deep into the world of regular expressions with Python, providing a comprehensive guide for anyone looking to master this complex yet powerful tool, with detailed explanations and code examples.

    https://www.kdnuggets.com/2023/08/mastering-regular-expressions-python.html

  • This Week in AI, July 31: AI Titans Pledge Responsible Innovation • The Beluga Invasion

    "This Week in AI" on KDnuggets provides a weekly roundup of the latest happenings in the world of Artificial Intelligence. Covering a wide range of topics from recent headlines, scholarly articles, educational resources, to spotlight research, the post is designed to keep readers up-to-date and informed about the ever-evolving field of AI.

    https://www.kdnuggets.com/2023/07/this-week-ai-2023-07-31.html

  • Introduction to Statistical Learning, Python Edition: Free Book

    The highly anticipated Python edition of Introduction to Statistical Learning is here. And you can read it for free! Here’s everything you need to know about the book.

    https://www.kdnuggets.com/2023/07/introduction-statistical-learning-python-edition-free-book.html

  • Textbooks Are All You Need: A Revolutionary Approach to AI Training

    This is an overview of the "Textbooks Are All You Need" paper, highlighting the Phi-1 model's success using high-quality synthetic textbook data for AI training.

    https://www.kdnuggets.com/2023/07/textbooks-all-you-need-revolutionary-approach-ai-training.html

  • Free Generative AI Courses by Google

    With Generative AI being a hot topic, learn more about these courses provided that can give you a kick start into the wave.

    https://www.kdnuggets.com/2023/07/free-generative-ai-courses-google.html

  • A Beginner’s Guide to Data Engineering

    So you want to break into data engineering? Start today by learning more about data engineering and the fundamental concepts.

    https://www.kdnuggets.com/2023/07/beginner-guide-data-engineering.html

  • ChatGPT-Powered Data Exploration: Unlock Hidden Insights in Your Dataset

    A guide to using ChatGPT for exploratory data analysis. Use ChatGPT to explore a dataset, generate visualizations, and gain insights.

    https://www.kdnuggets.com/2023/07/chatgptpowered-data-exploration-unlock-hidden-insights-dataset.html

  • Docker Tutorial for Data Scientists

    Interested in learning Docker for data science? Learn the basics of Docker and containerize data science apps in minutes.

    https://www.kdnuggets.com/2023/07/docker-tutorial-data-scientists.html

  • Exploring the Latest Trends in AI/DL: From Metaverse to Quantum Computing

    The author discusses several emerging trends in Artificial Intelligence and Deep Learning such as Metaverse and Quantum Computing.

    https://www.kdnuggets.com/2023/07/exploring-latest-trends-aidl-metaverse-quantum-computing.html

  • A Gentle Introduction to Support Vector Machines

    A guide to understanding support vector machines for classification: from theory to scikit-learn implementation.

    https://www.kdnuggets.com/2023/07/gentle-introduction-support-vector-machines.html

  • Reinforcement Learning: Teaching Computers to Make Optimal Decisions

    Reinforcement learning basics to get your feet wet. Learn the components and key concepts in the reinforcement learning framework: from agents and rewards to value functions, policy, and more.

    https://www.kdnuggets.com/2023/07/reinforcement-learning-teaching-computers-make-optimal-decisions.html

  • The Importance of Reproducibility in Machine Learning

    And how approaches to better data management, version control, and experiment tracking can help build reproducible ML pipelines.

    https://www.kdnuggets.com/2023/06/importance-reproducibility-machine-learning.html

  • Mastering NLP Job Interviews

    What is NLP, and what types of questions related to NLP can you expect at the NLP-related job interviews?

    https://www.kdnuggets.com/2022/10/nlp-interview-questions.html

  • Free Full Stack LLM Bootcamp

    Want to learn more about LLMs and build cool LLM-powered applications? This free Full Stack LLM Bootcamp is all you need!

    https://www.kdnuggets.com/2023/06/free-full-stack-llm-bootcamp.html

  • Geocoding for Data Scientists

    This article introduces geocoding as part of a data science pipeline. It covers manual and API based geocoding with a fun and engaging example.

    https://www.kdnuggets.com/2023/06/geocoding-data-scientists.html

  • Ten Years of AI in Review

    From image classification to chatbot therapy.

    https://www.kdnuggets.com/2023/06/ten-years-ai-review.html

  • Integrating ChatGPT Into Data Science Workflows: Tips and Best Practices

    Looking to integrate ChatGPT into your data science workflow? Here’s an example along with tips and best practices to get the most out of ChatGPT for data science.

    https://www.kdnuggets.com/2023/05/integrating-chatgpt-data-science-workflows-tips-best-practices.html

  • The Role of Open Source Tools in Accelerating Data Science Progress

    Open source tools have had a pivotal role in the evolution of data science, from providing the foundation for analysis, to fueling the innovation that shapes today's landscape. The open source impact on data science is demonstrated best by looking at the relationship's past, present, and future.

    https://www.kdnuggets.com/2023/05/role-open-source-tools-accelerating-data-science-progress.html

  • Data Analytics Tools You Need To Know in 2023

    What tools do you need to know to be a successful data analyst?

    https://www.kdnuggets.com/2023/05/data-analytics-tools-need-know-2023.html

  • Web LLM: Bring LLM Chatbots to the Browser

    Wouldn't it be cool if you can run LLMs and LLM chatbots natively in your browser? Let's learn more about the Web LLM project, an interesting step in this direction.

    https://www.kdnuggets.com/2023/05/webllm-bring-llm-chatbots-browser.html

  • IT Staff Augmentation: How AI Is Changing the Software Development Industry

    It discusses how AI assistants are helping teams become more efficient and how they can also be a benefit to developers.

    https://www.kdnuggets.com/2023/05/staff-augmentation-ai-changing-software-development-industry.html

  • Principal Component Analysis (PCA) with Scikit-Learn

    Learn how to perform principal component analysis (PCA) in Python using the scikit-learn library.

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