Search results for "aws"

848 documents found out of 7186 total.

  • Top 7 Alternatives to VSCode for Data Science

    This article introduces some local and cloud-based alternatives to Visual Studio Code tailored for data science needs.

    https://www.kdnuggets.com/top-7-alternatives-to-vscode-for-data-science

  • 10 Free Resources to Learn LLMs

    Learn large language models with these free resources from Deeplearning.AI, Microsoft, AWS, and more.

    https://www.kdnuggets.com/10-free-resources-to-learn-llms

  • Free Courses That Are Actually Free: AI & ML Edition

    Don’t be bamboozled by last-minute payments when signing up for free courses.

    https://www.kdnuggets.com/free-courses-that-are-actually-free-ai-ml-edition

  • deel Review 2025: Features, Pros & Cons

    What Is deel? Deel.com is a cloud-based platform that streamlines global payroll, compliance, and contract management for businesses with remote and international teams. The strength Read more »

    https://www.kdnuggets.com/review/deel

  • Tools Every AI Engineer Should Know: A Practical Guide

    Explore essential tools and skills for AI engineers: Python, R, big data frameworks, and cloud services essential for building and optimizing AI systems.

    https://www.kdnuggets.com/tools-every-ai-engineer-should-know-a-practical-guide

  • Beginner’s Guide to Careers in AI and Machine Learning

    The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.

    https://www.kdnuggets.com/beginners-guide-to-careers-in-ai-and-machine-learning

  • 5 IT Jobs That Are High in Demand But Don’t Get Enough Recognition

    These IT jobs don’t get enough love and you could be missing out

    https://www.kdnuggets.com/5-it-jobs-that-are-high-in-demand-but-dont-get-enough-recognition

  • Landing a Data Engineer Role: Free Courses and Certifications

    Is it possible to learn data engineering for free? I claim it is and present the evidence for that in the form of 10 free data engineering courses.

    https://www.kdnuggets.com/landing-a-data-engineer-role-free-courses-and-certifications

  • Tools Every Data Scientist Should Know: A Practical Guide

    Discover the essential tools every data scientist should know to elevate their data science game, from Python and R to SQL and advanced visualization tools.

    https://www.kdnuggets.com/tools-every-data-scientist-should-know-a-practical-guide

  • Bringing Human and AI Agents Together for Enhanced Customer Experience

    Why investing in the successful collaboration of humans and AI agents is the key to unlocking the true potential of your customer support operations.

    https://www.kdnuggets.com/2024/06/softweb/bringing-human-and-ai-agents-together-for-enhanced-customer-experience

  • Deploying Machine Learning Models: A Step-by-Step Tutorial

    Let us explore the process of deploying models in production.

    https://www.kdnuggets.com/deploying-machine-learning-models-a-step-by-step-tutorial

  • 5 Free Templates for Data Science Projects on Jupyter Notebook

    Boost your data science project with these templates.

    https://www.kdnuggets.com/5-free-templates-for-data-science-projects-on-jupyter-notebook

  • Diffusion and Denoising: Explaining Text-to-Image Generative AI

    The diffusion process is taking a central role in the evolution of AI and the interaction of technology with the global human environment. Learn all about it here.

    https://www.kdnuggets.com/diffusion-and-denoising-explaining-text-to-image-generative-ai

  • 10 Essential DevOps Tools Every Beginner Should Learn

    Popular tools for versioning, CI/CD, testing, automation, containerization, workflow orchestration, cloud, IT management, and monitoring.

    https://www.kdnuggets.com/10-essential-devops-tools-every-beginner-should-learn

  • Prompt Engineer: Skills, Learning Roadmap, and Salary

    Learn about the growing demand for prompt engineers in the year 2024.

    https://www.kdnuggets.com/prompt-engineer-skills-learning-roadmap-and-salary

  • 5 Best End-to-End Open Source MLOps Tools

    Explore free and open-source MLOps tools for enhanced data privacy and control over your models and code.

    https://www.kdnuggets.com/5-best-end-to-end-open-source-mlops-tools

  • LLM Handbook: Strategies and Techniques for Practitioners

    How good are LLMs? Are we ready to trust and use them confidently in our workflows?

    https://www.kdnuggets.com/llm-handbook-strategies-and-techniques-for-practitioners

  • 10 GitHub Repositories to Master Data Engineering

    Learn data engineering through free courses, tutorials, books, tools, guides, roadmaps, practice exercises, projects, and other resources.

    https://www.kdnuggets.com/10-github-repositories-to-master-data-engineering

  • 5 Steps to Learn AI for Free in 2024

    Master AI with these free courses from Harvard, Google, AWS, and more.

    https://www.kdnuggets.com/5-steps-to-learn-ai-for-free-in-2024

  • A Comprehensive Guide to Essential Tools for Data Analysts

    Data analyst tools encompass programming languages, spreadsheets, BI, and big data tools. Here are 9ish tools that cover all the tasks of data analysts well.

    https://www.kdnuggets.com/a-comprehensive-guide-to-essential-tools-for-data-analysts

  • Advance Your Tech Career with These 3 Popular Certificates

    Ready for a change in industry, title or an increased salary?

    https://www.kdnuggets.com/advance-your-tech-career-with-these-3-popular-certificates

  • 7 End-to-End MLOps Platforms You Must Try in 2024

    List of top MLOPs platforms that will help you with integration, training, tracking, deployment, monitoring, CI/CD, and optimizing the infrastructure.

    https://www.kdnuggets.com/7-end-to-end-mlops-platforms-you-must-try-in-2024

  • 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

  • 7 Steps to Mastering MLOPs

    Join us on a journey of becoming a professional MLOps engineer by mastering essential tools, frameworks, key concepts, and processes in the field.

    https://www.kdnuggets.com/7-steps-to-mastering-mlops

  • Exploring the OpenAI API with Python

    Let’s learn all the useful services from the OpenAI.

    https://www.kdnuggets.com/exploring-the-openai-api-with-python

  • Mistral 7B-V0.2: Fine-Tuning Mistral’s New Open-Source LLM with Hugging Face

    Access Mistral’s latest open-source model and fine-tune it on a custom dataset.

    https://www.kdnuggets.com/mistral-7b-v02-fine-tuning-mistral-new-open-source-llm-with-hugging-face

  • Top 7 Model Deployment and Serving Tools

    Learn about the top tools and frameworks that can simplify deploying large machine learning models in production and generate business value.

    https://www.kdnuggets.com/top-7-model-deployment-and-serving-tools

  • A Beginner’s Guide to the Top 10 Machine Learning Algorithms

    Data science’s essence lies in machine learning algorithms. Here are ten algorithms that are a great introduction to machine learning for any beginner!

    https://www.kdnuggets.com/a-beginner-guide-to-the-top-10-machine-learning-algorithms

  • 10 GitHub Repositories to Master MLOps

    Begin your MLOps journey with these comprehensive free resources available on GitHub.

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

  • Build An AI Application with Python in 10 Easy Steps

    Explore the fundamental steps for creating a successful AI Application with Python and other tools.

    https://www.kdnuggets.com/build-an-ai-application-with-python-in-10-easy-steps

  • 5 Essential Skills Every Data Scientist Needs in 2024

    Want to move into the data science field? Or advance your career in the data? Don’t miss these must-have skills.

    https://www.kdnuggets.com/5-essential-skills-every-data-scientist-needs-in-2024

  • Best Free Resources to Learn Data Analysis and Data Science

    This article introduces six top-notch, free data science resources ideal for aspiring data analysts, data scientists, or anyone aiming to enhance their analytical skills.

    https://www.kdnuggets.com/2024/03/365datascience-best-free-resources-learn-data-analysis-data-science

  • 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

  • How to Learn Python Basics With ChatGPT

    Your Ultimate Learning Companion.

    https://www.kdnuggets.com/how-to-learn-python-basics-with-chatgpt

  • Free Amazon Courses to Learn Generative AI: For All Levels

    Upskill with these free courses to master generative AI, regardless of your job title.

    https://www.kdnuggets.com/free-amazon-courses-to-learn-generative-ai-for-all-levels

  • Books, Courses, and Live Events to Learn Generative AI with O’Reilly

    If you are new to generative AI or an expert who wants to learn more, O’Reilly offers a range of resources to kickstart your generative AI journey.

    https://www.kdnuggets.com/books-courses-and-live-events-to-learn-generative-ai-with-oreilly

  • Data Maturity: The Cornerstone of AI-Enabled Innovation

    This article outlines strategies for overcoming data maturity challenges and accelerating AI adoption.

    https://www.kdnuggets.com/data-maturity-the-cornerstone-of-ai-enabled-innovation

  • What I Learned From Using ChatGPT for Data Science

    ChatGPT can be a great tool for data scientists. Here’s what I learned about where it excels and where it is less so.

    https://www.kdnuggets.com/what-i-learned-from-using-chatgpt-for-data-science

  • Top 16 Technical Data Sources for Advanced Data Science Projects

    Here are data repositories that will up your data science game and improve your data projects.

    https://www.kdnuggets.com/top-16-technical-data-sources-for-advanced-data-science-projects

  • 5 Coding Tasks ChatGPT Can’t Do

    This is a pretty good list of what ChatGPT can't do. But it's not exhaustive. ChatGPT can generate pretty good code from scratch, but it can't do anything that would take your job.

    https://www.kdnuggets.com/5-coding-tasks-chatgpt-cant-do

  • Level 50 Data Scientist: Python Libraries to Know

    This article will help you understand the different tools of Data Science used by experts for Data Visualization, Model Building, and Data Manipulation.

    https://www.kdnuggets.com/level-50-data-scientist-python-libraries-to-know

  • 2023: The Crazy AI Year

    The year of Generative AI - let’s go through what happened in the past 12 months.

    https://www.kdnuggets.com/2023-the-crazy-ai-year

  • 25 Free Courses to Master Data Science, Data Engineering, Machine Learning, MLOps, and Generative AI

    Discover a collection of top courses to launch your dream career or master a new skill, all for free!

    https://www.kdnuggets.com/25-free-courses-to-master-data-science-data-engineering-machine-learning-mlops-and-generative-ai

  • Back to Basics Pathway

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

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

  • Strategies for Optimizing Performance and Costs When Using Large Language Models in the Cloud

    There are many cases where your LLM underperforms and costs you too much in the cloud platform. Simple strategies help you avoid that.

    https://www.kdnuggets.com/strategies-for-optimizing-performance-and-costs-when-using-large-language-models-in-the-cloud

  • Back to Basics Bonus Week: Deploying to the Cloud

    Welcome back to the KDnuggets’ "Back to Basics" series. This is the BONUS week and we will dive into learning about deploying to the cloud.

    https://www.kdnuggets.com/back-to-basics-bonus-week-deploying-to-the-cloud

  • 5 Free Courses to Master MLOps

    Have you finished learning the basics of machine learning and now wondering what's next? You're in the right place!

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

  • Building a GPU Machine vs. Using the GPU Cloud

    The article examines the pros and cons of building an on-premise GPU machine versus using a GPU cloud service for projects involving deep learning and artificial intelligence, analyzing factors like cost, performance, operations, and scalability.

    https://www.kdnuggets.com/building-a-gpu-machine-vs-using-the-gpu-cloud

  • Beyond Human Boundaries: The Rise of SuperIntelligence

    From ANI to AGI and Beyond: Deciphering AI's Evolutionary Path.

    https://www.kdnuggets.com/beyond-human-boundaries-the-rise-of-superintelligence

  • Remote Work in Data Science: Pros and Cons

    In this post we explored the potential challenges and pitfalls of remote work in data science.

    https://www.kdnuggets.com/remote-work-in-data-science-pros-and-cons

  • 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

  • Enhance Your Python Coding Style with Ruff

    Ruff's 700+ built-in lint rules, reimplemented in Rust for speed, provide comprehensive linting and formatting to enforce clean and consistent Python code.

    https://www.kdnuggets.com/enhance-your-python-coding-style-with-ruff

  • 5 Free Courses to Master Generative AI

    Generative AI is an exciting and fast-moving area of research and application. Check out these 5 courses to get up to speed and stay ahead of the curve.

    https://www.kdnuggets.com/5-free-courses-to-master-generative-ai

  • 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

  • The New Ethical Implications of Generative Artificial Intelligence

    Generative AI's rapid progress necessitates urgent ethical safeguards against data, scale, accountability, copyright, and misinformation risks.

    https://www.kdnuggets.com/the-new-ethical-implications-of-generative-artificial-intelligence

  • Introduction to Giskard: Open-Source Quality Management for AI Models

    To solve the conundrum of ensuring the quality of AI models in production — especially given the emergence of LLMs — we are thrilled to announce the official launch of Giskard, the premier open-source AI quality management system.

    https://www.kdnuggets.com/2023/11/giskard-introduction-giskard-opensource-quality-management-ai-models

  • Generative AI: The First Draft, Not Final

    This article gives a high-level overview of how LLMs work and their attendant limitations with accessible explanations and anecdotes throughout the piece. We also present advice on how people can introduce them into their workflows.

    https://www.kdnuggets.com/generative-ai-the-first-draft-not-final

  • The Top 5 Cloud Machine Learning Platforms & Tools

    What are the top 5 cloud machine learning platforms in the market today. Our list will help provide some vital insights into which platform might best cater to your specific machine learning needs. See what KDnuggets recommends.

    https://www.kdnuggets.com/the-top-5-cloud-machine-learning-platforms-tools

  • 7 Platforms for Getting High Paying Data Science Jobs

    Job hunting in data science got you down? Check out these 7 awesome platforms to score your next high-paying data science gig!

    https://www.kdnuggets.com/7-platforms-for-getting-high-paying-data-science-jobs

  • Greening AI: 7 Strategies to Make Applications More Sustainable

    The article delves into a comprehensive methodology that sheds light on how to accurately estimate the carbon footprint associated with AI applications. It explains the environmental impact of AI, a crucial consideration in today's world.

    https://www.kdnuggets.com/greening-ai-7-strategies-to-make-applications-more-sustainable

  • A Brief History of the Neural Networks

    From the biological neuron to LLMs: How AI became smart.

    https://www.kdnuggets.com/a-brief-history-of-the-neural-networks

  • Top Companies in India to Consider for Employment

    If you’re looking for a job, want to shift careers, or start a new chapter and currently reside in India. Check out these top 7 companies to consider for employment in India for 2023/24.

    https://www.kdnuggets.com/top-companies-in-india-to-consider-for-employment

  • 7 Best Cloud Database Platforms

    Cloud databases have made it easier and cheaper to develop enterprise-level applications, offering flexibility, convenience, and standard database functionality. See what KDnuggets recommends.

    https://www.kdnuggets.com/7-best-cloud-database-platforms

  • 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

  • Best Practices for Building ETLs for ML

    This article talks about several best practices for writing ETLs for building training datasets. It delves into several software engineering techniques and patterns applied to ML.

    https://www.kdnuggets.com/best-practices-for-building-etls-for-ml

  • AI and Open Source Software: Separated at Birth?

    In this article, Luis shares with readers his thoughts on the intersection of open source software and machine learning and what the future might bring. Many articles cover how open source software is used by the machine learning community but this post focuses on the similarities between the two areas of practice and what machine learning can and can’t learn from open source software.

    https://www.kdnuggets.com/ai-and-open-source-software-separated-at-birth

  • The Top 5 Data Management Tools For Your Projects

    See what KDnuggets is recommending for the top 5 cutting-edge tools for cloud, ETL, transformation, master data management, and visualization.

    https://www.kdnuggets.com/top-5-data-management-tools-for-your-projects

  • Getting Started with Google Cloud Platform in 5 Steps

    Explore the essentials of Google Cloud Platform for data science and ML, from account setup to model deployment, with hands-on project examples.

    https://www.kdnuggets.com/5-steps-google-cloud-platform

  • Deploying Your Machine Learning Model to Production in the Cloud

    Learn a simple way to have a live model hosted on AWS.

    https://www.kdnuggets.com/deploying-your-ml-model-to-production-in-the-cloud

  • Effective Small Language Models: Microsoft’s 1.3 Billion Parameter phi-1.5

    Learn about Microsoft’s 1.3 billion parameter model that has outperformed Llama 2’s 7-billion parameters model on several benchmarks.

    https://www.kdnuggets.com/effective-small-language-models-microsoft-phi-15

  • Fine Tuning LLAMAv2 with QLora on Google Colab for Free

    Learn how to fine-tune one of the most influential open-source models for free on Google Colab.

    https://www.kdnuggets.com/fine-tuning-llamav2-with-qlora-on-google-colab-for-free

  • 10 Math Concepts for Programmers

    The not so secret behind becoming a proficient programmer - Math & it’s top 10 concepts.

    https://www.kdnuggets.com/10-math-concepts-for-programmers

  • Working with Big Data: Tools and Techniques

    Where do you start in a field as vast as big data? Which tools and techniques to use? We explore this and talk about the most common tools in big data.

    https://www.kdnuggets.com/working-with-big-data-tools-and-techniques

  • Building Microservice for Multi-Chat Backends Using Llama and ChatGPT

    As LLMs continue to evolve, integrating multiple models or switching between them has become increasingly challenging. This article suggests a Microservice approach to separate model integration from business applications and simplify the process.

    https://www.kdnuggets.com/building-microservice-for-multichat-backends-using-llama-and-chatgpt

  • Building a Formula 1 Streaming Data Pipeline With Kafka and Risingwave

    Build a streaming data pipeline using Formula 1 data, Python, Kafka, RisingWave as the streaming database, and visualize all the real-time data in Grafana.

    https://www.kdnuggets.com/building-a-formula-1-streaming-data-pipeline-with-kafka-and-risingwave

  • 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

  • 5 Skills All Marketing Analytics and Data Science Pros Need Today

    Join us at the MADS conference in Washington, D.C., from Sept. 26 to 28, 2023. Learn more below and register with code KDN100 for $100 off your conference pass.

    https://www.kdnuggets.com/2023/08/mads-5-skills-marketing-analytics-data-science-pros-need-today.html

  • How to Ace Data Scientist Professional Certificate Exam

    Gain insights into the certification process and expert tips for passing the certificate exam.

    https://www.kdnuggets.com/2023/08/ace-data-scientist-professional-certificate.html

  • Things You Should Know When Scaling Your Web Data-Driven Product

    Scaling your data-driven product helps grow your business, but it requires certain expertise. In this article, you will learn how scaling works and what to keep in mind while doing it.

    https://www.kdnuggets.com/2023/08/things-know-scaling-web-datadriven-product.html

  • A Comprehensive Guide to MLOps

    Machine Learning Operations (MLOps) is a relatively new discipline that provides the structure and support necessary for machine learning (ML) models to thrive in production environments.

    https://www.kdnuggets.com/2023/08/comprehensive-guide-mlops.html

  • This Week in AI, August 7: Generative AI Comes to Jupyter & Stack Overflow • ChatGPT Updates

    "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/mm/this-week-ai-2023-08-07.html

  • Fundamentals Of Statistics For Data Scientists and Analysts

    Key statistical concepts for your data science or data analysis journey.

    https://www.kdnuggets.com/2023/08/fundamentals-statistics-data-scientists-analysts.html

  • CDC Data Replication: Techniques, Tradeoffs, Insights

    The author discusses common use cases for CDC data replication, implementation techniques and their tradeoffs, and firsthand insights.

    https://www.kdnuggets.com/2023/08/cdc-data-replication-techniques-tradeoffs-insights.html

  • The Importance of Data Cleaning in Data Science

    This article provides an overview of the importance of data cleaning in data science. It explains what data cleaning is, the benefits of using it, and the commonly used tools.

    https://www.kdnuggets.com/2023/08/importance-data-cleaning-data-science.html

  • Introduction to Data Science: A Beginner’s Guide

    This article is a guide for new data scientists, and it's designed to help you get started quickly. It's meant to be a starting point, but if you're already in the market for a new job, you may want to read this article more.

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

  • Mastering GPUs: A Beginner’s Guide to GPU-Accelerated DataFrames in Python

    RAPIDS cuDF, with its pandas-like API, enables data scientists and engineers to quickly tap into the immense potential of parallel computing on GPUs–with just a few code line changes. Read on for more.

    https://www.kdnuggets.com/2023/07/mastering-gpus-beginners-guide-gpu-accelerated-dataframes-python.html

  • Everything You Need About the LLM University by Cohere

    Want to kickstart a new career with LLMs? Or want to transfer to the next big thing in tech? You can do so now with the LLM University by Cohere.

    https://www.kdnuggets.com/2023/07/everything-need-llm-university-cohere.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

  • 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

  • GPT-4 Details Have Been Leaked!

    What has OpenAI been keeping in the woodwork about GPT-4?

    https://www.kdnuggets.com/2023/07/gpt4-details-leaked.html

  • Unveiling the Power of Meta’s Llama 2: A Leap Forward in Generative AI?

    This article explores the technical details and implications of Meta's newly released Llama 2, a large language model that promises to revolutionize the field of generative AI. We delve into its capabilities, performance, and potential applications, while also discussing its open-source nature and the company's commitment to safety and transparency.

    https://www.kdnuggets.com/2023/07/unveiling-power-metas-llama-2-leap-forward-generative-ai.html

  • The First Half of 2023: Data Science and AI Developments

    6 months of 2023 has gone by like that. Here’s a recap of what the major data science and AI advancements have been in the first half of 2023.

    https://www.kdnuggets.com/2023/07/first-half-2023-data-science-ai-developments.html

  • Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data

    The article highlights various use cases of synthetic data, including generating confidential data, rebalancing imbalanced data, and imputing missing data points. It also provides information on popular synthetic data generation tools such as MOSTLY AI, SDV, and YData.

    https://www.kdnuggets.com/2023/07/synthetic-data-platforms-unlocking-power-generative-ai-structured-data.html

  • How to Build a Streaming Semi-structured Analytics Platform on Snowflake

    Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need a robust modern architecture that can deal with such a high volume. At the same time analytics layer also needs to be created so as to generate value from it.

    https://www.kdnuggets.com/2023/07/build-streaming-semistructured-analytics-platform-snowflake.html

  • ChatGPT Plugins: Everything You Need To Know

    Learn more about the third-party plugins that OpenAI have rolled out to understand ChatGPTs in real-world use.

    https://www.kdnuggets.com/2023/06/chatgpt-plugins-everything-need-know.html

  • Closing the Gap Between Human Understanding and Machine Learning: Explainable AI as a Solution

    This article elaborates on the importance of Explainable AI (XAI), what the challenges in building interpretable AI models are, and some practical guidelines for companies to build XAI models.

    https://www.kdnuggets.com/2023/06/closing-gap-human-understanding-machine-learning-explainable-ai-solution.html

  • Using RAPIDS cuDF to Leverage GPU in Feature Engineering

    Improving Performance by Replacing Pandas with cuDF in Creating Data Frames and Engineering Features and Integrating with Google Colab.

    https://www.kdnuggets.com/2023/06/rapids-cudf-leverage-gpu-feature-engineering.html

  • Falcon LLM: The New King of Open-Source LLMs

    Falcon LLM, is the new large language model that has taken the crown from LLaMA.

    https://www.kdnuggets.com/2023/06/falcon-llm-new-king-llms.html

  • The Top AutoML Frameworks You Should Consider in 2023

    AutoML frameworks are powerful tool for data analysts and machine learning specialists that can automate data preprocessing, model selection, hyperparameter tuning, and even perform complex tasks like feature engineering.

    https://www.kdnuggets.com/2023/05/best-automl-frameworks-2023.html

  • How to Efficiently Scale Data Science Projects with Cloud Computing

    This article discusses the key components that contribute to the successful scaling of data science projects. It covers how to collect data using APIs, how to store data in the cloud, how to clean and process data, how to visualize data, and how to harness the power of data visualization through interactive dashboards.

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