Search results for Cloud Computing

Found 481 documents, 5922 searched:

• Introduction to Cloud Computing for Data Science

  And the Power Duo of Modern Tech.

  https://www.kdnuggets.com/introduction-to-cloud-computing-for-data-science

• How Cloud Computing Enhances Data Science Workflows

  Cloud computing offers the efficiency, scalability, and security data science workflows need. Discover how it provides these benefits here.

  https://www.kdnuggets.com/2023/08/cloud-computing-enhances-data-science-workflows.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.

  https://www.kdnuggets.com/2023/05/efficiently-scale-data-science-projects-cloud-computing.html

• Beginner’s Guide to Cloud Computing

  Learn how cloud computing works, different types of models, top cloud platforms, and applications.

  https://www.kdnuggets.com/2023/01/beginner-guide-cloud-computing.html

• Cloud Computing, Data Science and ML Trends in 2020–2022: The battle of giants">Cloud Computing, Data Science and ML Trends in 2020–2022: The battle of giants

  Kaggle’s survey of ‘State of Data Science and Machine Learning 2020’ covers a lot of diverse topics. In this post, we are going to look at the popularity of cloud computing platforms and products among the data science and ML professionals participated in the survey.

  https://www.kdnuggets.com/2021/01/cloud-computing-data-science-ml-trends-2020-2022-battle-giants.html

• Cloud Computing Key Terms, Explained

  A concise overview of 20 core cloud computing ecosystem concepts. The focus here is on the terminology, not The Big Picture.

  https://www.kdnuggets.com/2016/06/cloud-computing-key-terms-explained.html

• Cloud-Native Super Computing

  NVIDIA BlueField DPUs provide on-demand, simple and secure high-performance computing and AI services.

  https://www.kdnuggets.com/2022/03/nvidia-cloud-native-super-computing.html

• The Top 8 Cloud Container Management Solutions of 2024

  As enterprises rapidly adopt cloud-native technologies, managing containerized applications has become crucial, so this article provides practical insights on the leading container management solutions to help organizations choose the right one for their needs.

  https://www.kdnuggets.com/the-top-8-cloud-container-management-solutions-of-2024

• Breaking Down Quantum Computing: Implications for Data Science and AI

  This article has explored the impact of quantum computing on data science and AI. We will look at the fundamental concepts of quantum computing and the key terms that are used in the field. We will also cover the challenges that lie ahead for quantum computing and how they can be overcome.

  https://www.kdnuggets.com/breaking-down-quantum-computing-implications-for-data-science-and-ai

• 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

• Free MIT Course: TinyML and Efficient Deep Learning Computing

  Curious about optimizing AI for everyday devices? Dive into the complete overview of MIT's TinyML and Efficient Deep Learning Computing course. Explore strategies to make AI smarter on small devices. Read the full article for an in-depth look!

  https://www.kdnuggets.com/free-mit-course-tinyml-and-efficient-deep-learning-computing

• 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

• 5 Simple Steps Series: Master Python, SQL, Scikit-learn, PyTorch & Google Cloud

  Dive into KDnuggets Back to Basics: Getting Started in 5 Steps series to help you master Python, SQL, Scikit-learn, PyTorch, and Google Cloud Platform.

  https://www.kdnuggets.com/5-simple-steps-series-master-python-sql-scikit-learn-pytorch-google-cloud

• 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

• KDnuggets News, October 5: 5 Free Books to Help You Master Python • Top 7 Free Cloud Notebooks for Data Science

  This week on KDnuggets: 5 Free Books to Help You Master Python • Top 7 Free Cloud Notebooks for Data • and much, much more!

  https://www.kdnuggets.com/2023/n36.html

• 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

• Top 7 Free Cloud Notebooks for Data Science

  Cloud notebooks are game-changers for data science, providing free access to computing, pre-built environments, collaboration features, and third-party integrations - everything you need to enhance your workflow.

  https://www.kdnuggets.com/top-7-free-cloud-notebooks-for-data-science

• 11 Best Practices of Cloud and Data Migration to AWS Cloud

  list of Best Practices compiled from our learnings during our migration journey to the AWS cloud.

  https://www.kdnuggets.com/2023/04/11-best-practices-cloud-data-migration-aws-cloud.html

• Top 5 Free Cloud Notebooks in 2022

  Create and collaborate on data science projects or train machine learning models using free cloud Jupyter notebook platforms. You get a hassle-free IDE experience and free compute resources.

  https://www.kdnuggets.com/2022/04/top-5-free-cloud-notebooks-2022.html

• Cloud ML In Perspective: Surprises of 2021, Projections for 2022

  Let’s take a closer look on Cloud ML market in 2021 in retrospective (with occasional drills into realities of 2020, too). Read this in-depth analysis.

  https://www.kdnuggets.com/2021/12/cloud-ml-perspective-surprises-2021-projections-2022.html

• SAS Analytics Pro – now available for on-site or containerized cloud-native deployment – providing your entry point into SAS Viya

  Now, SAS Analytics Pro includes a new option for containerized cloud-native deployment. This makes SAS Analytics Pro a perfect entry point into SAS Viya.

  https://www.kdnuggets.com/2021/11/sas-analytics-pro-now-available.html

• Super Charge Python with Pandas on GPUs Using Saturn Cloud

  Saturn Cloud is a tool that allows you to have 10 hours of free GPU computing and 3 hours of Dask Cluster computing a month for free. In this tutorial, you will learn how to use these free resources to process data using Pandas on a GPU. The experiments show that Pandas is over 1,000,000% slower on a CPU as compared to running Pandas on a Dask cluster of GPUs.

  https://www.kdnuggets.com/2021/05/super-charge-python-pandas-gpus-saturn-cloud.html

• ETL in the Cloud: Transforming Big Data Analytics with Data Warehouse Automation

  Today, organizations are increasingly implementing cloud ETL tools to handle large data sets. With data sets becoming larger by the day, unified ETL tools have become crucial for data integration needs of enterprises.

  https://www.kdnuggets.com/2021/04/etl-cloud-transforming-big-data-analytics-data-warehouse-automation.html

• Cloud Data Warehouse is The Future of Data Storage

  Today, cloud data storage accounts for 45% of all enterprise data and by Q2 2021, that number could grow to 53%. Now is the time to embrace cloud than now.

  https://www.kdnuggets.com/2021/01/cloud-data-warehouse-future-data-storage.html

• Data Science in the Cloud with Dask

  Scaling large data analyses for data science and machine learning is growing in importance. Dask and Coiled are making it easy and fast for folks to do just that. Read on to find out how.

  https://www.kdnuggets.com/2020/10/data-science-cloud-dask.html

• Deploy a Machine Learning Pipeline to the Cloud Using a Docker Container

  In this tutorial, we will use a previously-built machine learning pipeline and Flask app to demonstrate how to deploy a machine learning pipeline as a web app using the Microsoft Azure Web App Service.

  https://www.kdnuggets.com/2020/06/deploy-machine-learning-pipeline-cloud-docker.html

• Alternative Cloud Hosted Data Science Environments

  Over the years new alternative providers have risen to provided a solitary data science environment hosted on the cloud for data scientist to analyze, host and share their work.

  https://www.kdnuggets.com/2019/12/alternative-cloud-data-science-environments.html

• Understanding Cloud Data Services">Understanding Cloud Data Services

  Ready to move your systems to a cloud vendor or just learning more about big data services? This overview will help you understand big data system architectures, components, and offerings with an end-to-end taxonomy of what is available from the big three cloud providers.

  https://www.kdnuggets.com/2019/06/understanding-cloud-data-services.html

• Ranking Popular Distributed Computing Packages for Data Science

  We examined 140 frameworks and distributed programing packages and came up with a list of top 20 distributed computing packages useful for Data Science, based on a combination of Github, Stack Overflow, and Google results.

  https://www.kdnuggets.com/2018/03/top-distributed-computing-packages-data-science.html

• Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI">Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI

  A complete and unbiased comparison of the three most common Cloud Technologies for Machine Learning as a Service.

  https://www.kdnuggets.com/2018/01/mlaas-amazon-microsoft-azure-google-cloud-ai.html

• The Internet of Things in the Cloud

  Cloud computing is the next evolutionary step in Internet-based computing, which provides the means for delivering ICT resources as a service. Internet-of-Things can benefit from the scalability, performance and pay-as-you-go nature of cloud computing infrastructures.

  https://www.kdnuggets.com/2017/05/internet-of-things-iot-cloud.html

• Why the Data Scientist and Data Engineer Need to Understand Virtualization in the Cloud

  This article covers the value of understanding the virtualization constructs for the data scientist and data engineer as they deploy their analysis onto all kinds of cloud platforms. Virtualization is a key enabling layer of software for these data workers to be aware of and to achieve optimal results from.

  https://www.kdnuggets.com/2017/01/data-scientist-engineer-understand-virtualization-cloud.html

• Cognitive Computing: Solving the Big Data Problem?

  With a shortage of data scientists, what are the alternatives for making sense of Big Data? We examine Cognitive Computing, its strengths, and how it can fit into the current Big Data landscape.

  https://www.kdnuggets.com/2015/06/cognitive-computing-solving-big-data-problem.html

• Hadoop as a Service: 18 Cloud Options

  Hadoop as a service in the cloud makes big data applications and projects easier to approach and these 18 platforms each provide their own unique solutions.

  https://www.kdnuggets.com/2015/04/hadoop-as-service-18-cloud-options.html

• Computing Platforms for Analytics, Data Mining, Data Science

  The poll results suggest a split between a majority of data miners and data scientists who work with growing but still "PC-size", small GB-sized data, and a smaller group of Big Data analysts who work with cloud-sized data. Cloud computing, Unix, and especially Mac gained in popularity.

  https://www.kdnuggets.com/2015/04/computing-platforms-analytics-data-mining-data-science.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

• Deep Learning on the Edge

  Detailed analysis into utilizing deep learning on the edge, covering both advantages and disadvantages and comparing this against more traditional cloud computing methods.

  https://www.kdnuggets.com/2018/09/deep-learning-edge.html

• Get University Level Certified for Next to Nothing

  Learning a new skill can be expensive, but it doesn’t have to be.

  https://www.kdnuggets.com/get-university-level-certified-for-next-to-nothing

• Level Up with DataCamp’s New Azure Certification

  Enhance your data profession by learning Azure, a high-demand skill and expertise.

  https://www.kdnuggets.com/level-up-with-datacamps-new-azure-certification

• Geospatial Data Analysis with Geemap

  A Python library for creating interactive maps with Google Earth Engine and ipyleaflet.

  https://www.kdnuggets.com/geospatial-data-analysis-with-geemap

• The Case of Homegrown Large Language Models

  Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the fast-evolving technology landscape.

  https://www.kdnuggets.com/the-case-of-homegrown-large-language-models

• 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

• The Promise of Edge AI and Approaches for Effective Adoption

  Organizations are adopting edge AI for real-time decision-making using efficient and cost-effective methods such as model quantization, multimodal databases, and distributed inferencing.

  https://www.kdnuggets.com/the-promise-of-edge-ai-and-approaches-for-effective-adoption

• 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

• 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

• Using Lightning AI Studio For Free

  Use Lightning AI Cloud IDE for free to experiment, train, and deploy your AI models.

  https://www.kdnuggets.com/using-lightning-ai-studio-for-free

• Back to Basics Pathway

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

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

• 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

• 5 Free Courses to Master Data Engineering

  Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company.

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

• 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

• Navigating Data Science Job Titles: Data Analyst vs. Data Scientist vs. Data Engineer

  No, they’re not the same jobs! Learn what responsibilities, skills, and tools used make them different. Then, choose the right career path for you.

  https://www.kdnuggets.com/navigating-data-science-job-titles-data-analyst-vs-data-scientist-vs-data-engineer

• 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

• 3 Data Science Projects Guaranteed to Land You That Job

  Imagine you’re allowed to do only three data science projects. Which should you choose to guarantee you get the job? Here’s my choice!

  https://www.kdnuggets.com/3-data-science-projects-guaranteed-to-land-you-that-job

• 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

• 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

• KDnuggets News, August 30: 7 Projects Built with Generative AI • Beyond Numpy and Pandas: Lesser-Known Python Libraries

  7 Projects Built with Generative AI • Beyond Numpy and Pandas: Unlocking the Potential of Lesser-Known Python Libraries • 5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science • GPT-4: 8 Models in One; The Secret is Out

  https://www.kdnuggets.com/2023/n31.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

• 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

• Where Does AI Happen?

  Which sector should aspiring researchers flock toward? Academia or industry?

  https://www.kdnuggets.com/2023/07/kdd-where-does-ai-happen.html

• Deep Learning with R

  In this tutorial, learn how to perform a deep learning task in R.

  https://www.kdnuggets.com/2023/05/deep-learning-r.html

• KDnuggets News, May 24: Free ChatGPT Course: Use The OpenAI API to Code 5 Projects • Super Bard: The AI That Can Do It All and Better

  Free ChatGPT Course: Use The OpenAI API to Code 5 Projects • Super Bard: The AI That Can Do It All and Better • Bayesian vs Frequentist Statistics in Data Science • A Beginner's Guide to Anomaly Detection Techniques in Data Science • Introduction to Correlation

  https://www.kdnuggets.com/2023/n19.html

• Data Engineering Landscape in the AI-Driven World

  Generative AI has just started to capture the imagination of data engineers, so the impact thus far has been just a fraction of what it will be a year or two from now.

  https://www.kdnuggets.com/2023/05/data-engineering-landscape-aidriven-world.html

• Should You Consider a DataOps Career?

  Transitioning your career to DataOps could be just the change you need - not only will it provide the possibility to expand your technical skills, but also a rewarding salary with many job openings.

  https://www.kdnuggets.com/2023/05/consider-dataops-career.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

• Top 19 Skills You Need to Know in 2023 to Be a Data Scientist

  Skills like the ability to clean, transform, statistically analyze, visualize, communicate, and predict data.

  https://www.kdnuggets.com/2023/04/top-19-skills-need-know-2023-data-scientist.html

• ETL vs ELT: Which One is Right for Your Data Pipeline?

  Learn about the differences between ETL and ELT data integration techniques and determine which is right for your data pipeline.

  https://www.kdnuggets.com/2023/03/etl-elt-one-right-data-pipeline.html

• 9 Top Platforms to Practice Key Data Science Skills

  Which platforms would I recommend as a go-to for learning and practicing data science skills? The list would change every day, depending on my mood. Here’s today’s list with an overview of each platform.

  https://www.kdnuggets.com/2023/03/9-top-platforms-practice-key-data-science-skills.html

• Must Read NLP Papers from the Last 12 Months

  The era of large language models is here now.

  https://www.kdnuggets.com/2023/03/must-read-nlp-papers-last-12-months.html

• 5 Genuinely Useful Bash Scripts for Data Science

  In this article, we are going to take a look at five different data science-related scripting-friendly tasks, where we should see how flexible and useful Bash can be.

  https://www.kdnuggets.com/2023/02/bash-scripts-data-science.html

• KDnuggets News, January 11: Python Matplotlib Cheatsheets • More Data Science Cheatsheets • Data Science & Machine Learning Developments of 2022

  Key Data Science, Machine Learning, AI and Analytics Developments of 2022 • Python Matplotlib Cheat Sheets • More Data Science Cheatsheets • Free Data Management with Data Science Learning with CS639 • Data-Driven Holiday Cheer: How Santa is Using Analytics to Make the Season Bright

  https://www.kdnuggets.com/2023/n01.html

• Key Data Science, Machine Learning, AI and Analytics Developments of 2022

  It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

  https://www.kdnuggets.com/2022/12/key-data-science-machine-learning-ai-analytics-developments-2022.html

• The Complete MLOps Study Roadmap

  Kickstart your career as an MLOps Engineer with this study roadmap.

  https://www.kdnuggets.com/2022/12/complete-mlops-study-roadmap.html

• The Complete Data Engineering Study Roadmap

  Everything you need to know to start your career in Data Engineering.

  https://www.kdnuggets.com/2022/11/complete-data-engineering-study-roadmap.html

• Machine Learning on the Edge

  Edge ML involves putting ML models on consumer devices where they can independently run inferences without an internet connection, in real-time, and at no cost.

  https://www.kdnuggets.com/2022/10/machine-learning-edge.html

• Is OLAP Dead?

  OLAP enables citizen analysts to quickly, efficiently, and cost-effectively uncover new business insights at a reduced time-to-value.

  https://www.kdnuggets.com/2022/10/olap-dead.html

• 7 Machine Learning Portfolio Projects to Boost the Resume

  Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.

  https://www.kdnuggets.com/2022/09/7-machine-learning-portfolio-projects-boost-resume.html

• What Does ETL Have to Do with Machine Learning?

  ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.

  https://www.kdnuggets.com/2022/08/etl-machine-learning.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

• 6 Ways Businesses Can Benefit From Machine Learning

  Machine learning is gaining popularity rapidly in the business world. Discover the ways that your business can benefit from machine learning.

  https://www.kdnuggets.com/2022/08/6-ways-businesses-benefit-machine-learning.html

• Most In-demand Artificial Intelligence Skills To Learn In 2022

  Artificial Intelligence (AI) is the process of programming a computer that can reason and learn like a human being and make decisions for itself.

  https://www.kdnuggets.com/2022/08/indemand-artificial-intelligence-skills-learn-2022.html

• An Introduction to Hill Climbing Algorithm in AI

  Hill climbing is basically a search technique or informed search technique having different weights based on real numbers assigned to different nodes, branches, and goals in a path.

  https://www.kdnuggets.com/2022/07/introduction-hill-climbing-algorithm-ai.html

• Simple Salary Guide for Tech Experts 2022

  Looking for a straightforward guide to tech title salaries? Look no further!

  https://www.kdnuggets.com/2022/07/simple-salary-guide-tech-experts-2022.html

• The Complete Collection of Data Science Interviews – Part 1

  The first part covers the list of Behavioral, Situational, Statistics, Python, R, SQL, Data Analytics, and Business Intelligence interview questions.

  https://www.kdnuggets.com/2022/06/complete-collection-data-science-interviews-part-1.html

• Publications on Data Science, Machine Learning, AI & Analytics

    Featured Publications The Machine Learning Mastery EBook Catalog Machine Learning Mastery Frustrated with one-off articles and too much math? Take the Next Step and Read more »

  https://www.kdnuggets.com/publication/index.html

• How to Become a Machine Learning Engineer

  A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.

  https://www.kdnuggets.com/2022/05/become-machine-learning-engineer.html

• Free Data Engineering Courses

  Get into the highly in-demand world of data engineering for free and earn 6 figures salary.

  https://www.kdnuggets.com/2022/05/free-data-engineering-courses.html

• Software Developer vs Software Engineer

  The terms developer and engineer are used synonymously, making it difficult to understand the difference between the two in the midst of a conversation.

  https://www.kdnuggets.com/2022/05/software-developer-software-engineer.html

• 6 Highest Paying Companies for Data Scientists

  These are the six top paying companies for data scientists. I’ve looked at absolute salary, but I’ll fill you in on other factors you should consider as well when it comes to picking a data science job for money.

  https://www.kdnuggets.com/2022/05/6-highest-paying-companies-data-scientists.html

• MLOps: The Best Practices and How To Apply Them

  Here are some of the best practices for implementing MLOps successfully.

  https://www.kdnuggets.com/2022/04/mlops-best-practices-apply.html

• Data Scientist, Data Engineer & Other Data Careers, Explained

  In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.

  https://www.kdnuggets.com/2021/05/data-scientist-data-engineer-data-careers-explained.html

• People Management for AI: Building High-Velocity AI Teams

  Practical advice for managers and directors who are looking to build AI/ML teams.

  https://www.kdnuggets.com/2022/03/people-management-ai-building-highvelocity-ai-teams.html

• Data Science Programming Languages and When To Use Them

  Read this guide through the most common data science programming languages and when to use them in data science.

  https://www.kdnuggets.com/2022/02/data-science-programming-languages.html

• Unable to Land a Data Science Job? Here’s Why

  You’ve been taking the wrong advice.

  https://www.kdnuggets.com/2022/01/unable-land-data-science-job.html

• 6 Data Science Technologies You Need to Build Your Supply Chain Pipeline

  Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline.

  https://www.kdnuggets.com/2022/01/6-data-science-technologies-need-build-supply-chain-pipeline.html

• How to Speed Up XGBoost Model Training

  XGBoost is an open-source implementation of gradient boosting designed for speed and performance. However, even XGBoost training can sometimes be slow. This article will review the advantages and disadvantages of each approach as well as go over how to get started.

  https://www.kdnuggets.com/2021/12/speed-xgboost-model-training.html

• 10 Key AI & Data Analytics Trends for 2022 and Beyond

  What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

  https://www.kdnuggets.com/2021/12/10-key-ai-trends-for-2022.html

• Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022

  We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

  https://www.kdnuggets.com/2021/12/developments-predictions-data-science-analytics-industry.html

• The Best Ways for Data Professionals to Market AWS Skills in 2022

  Knowing your way around Amazon Web Services (AWS) is increasingly useful. Here are five ways to market your AWS skills in today’s job market.

  https://www.kdnuggets.com/2021/11/best-ways-data-professionals-market-aws-skills.html

• How to Build Data Frameworks with Open Source Tools to Enhance Agility and Security

  Let’s take a look at how to harness open source tools to build your data frameworks.

  https://www.kdnuggets.com/2021/10/build-data-frameworks-open-source-tools-agility-security.html

• A Guide to 14 Different Data Science Jobs">A Guide to 14 Different Data Science Jobs

  The field of data science is growing into one that features a variety of job titles This guide reviews different positions available for you to consider if you have a data science background.

  https://www.kdnuggets.com/2021/10/guide-14-different-data-science-jobs.html

• Exclusive: OpenAI summarizes KDnuggets">Exclusive: OpenAI summarizes KDnuggets

  OpenAI has recently done amazing work summarizing full-length books. We have asked OpenAI to summarize two recent KDnuggets posts, and the results have a very human-like quality. Only the last line betrays the inhuman intelligence at work.

  https://www.kdnuggets.com/2021/10/exclusive-openai-summarizes-kdnuggets.html

• Real Time Image Segmentation Using 5 Lines of Code

  PixelLib Library is a library created to allow easy integration of object segmentation in images and videos using few lines of python code. PixelLib now provides support for PyTorch backend to perform faster, more accurate segmentation and extraction of objects in images and videos using PointRend segmentation architecture.

  https://www.kdnuggets.com/2021/10/real-time-image-segmentation-5-lines-code.html

• A Breakdown of Deep Learning Frameworks

  Deep Learning continues to evolve as one of the most powerful techniques in the AI toolbox. Many software packages exist today to support the development of models, and we highlight important options available with key qualities and differentiators to help you select the most appropriate for your needs.

  https://www.kdnuggets.com/2021/09/a-breakdown-deep-learning-frameworks.html

• Amazon Web Services Webinar: Boost customer satisfaction and sales with consumer insights data

  Join this webinar, Sep 27, to learn how to leverage external data to understand market needs and consumer behavior – helping you build a more customer-centric business.

  https://www.kdnuggets.com/2021/09/roidna-aws-webinar-consumer-insights-data.html

• Data Science Project Infrastructure: How To Create It

  The intension for most data science projects is to build something that people use. Creating something purposeful requires a solid infrastructure and processes that keeps problem-solving front-and-center for your audience.

  https://www.kdnuggets.com/2021/08/data-science-project-infrastructure.html

• How My Learning Path Changed After Becoming a Data Scientist

  I keep learning but in a different way.

  https://www.kdnuggets.com/2021/08/learning-path-changed-becoming-data-scientist.html

• Bootstrap a Modern Data Stack in 5 minutes with Terraform">Bootstrap a Modern Data Stack in 5 minutes with Terraform

  What is a Modern Data Stack and how do you deploy one? This guide will motivate you to start on this journey with setup instructions for Airbyte, BigQuery, dbt, Metabase, and everything else you need using Terraform.

  https://www.kdnuggets.com/2021/08/bootstrap-modern-data-stack-terraform.html

• Pushing No-Code Machine Learning to the Edge

  Discover the power of no-code machine learning, and what it can accomplish when pushed to edge devices.

  https://www.kdnuggets.com/2021/07/pushing-no-code-machine-learning-edge.html

• Become an Analytics Engineer in 90 Days">Become an Analytics Engineer in 90 Days

  A new role of the Analytics Engineer is an exciting opportunity that crosses the skill sets of a Data Analyst and Data Engineer. Here, we describe how this position can evolve at an organization, and recommend self-learning resources that can be used to prepare for the multifaceted responsibilities.

  https://www.kdnuggets.com/2021/07/become-analytics-engineer-90-days.html

• High-Performance Deep Learning: How to train smaller, faster, and better models – Part 4

  With the right software, hardware, and techniques at your fingertips, your capability to effectively develop high-performing models now hinges on leveraging automation to expedite the experimental process and building with the most efficient model architectures for your data.

  https://www.kdnuggets.com/2021/07/high-performance-deep-learning-part4.html

• Relax! Data Scientists will not go extinct in 10 years, but the role will change">Relax! Data Scientists will not go extinct in 10 years, but the role will change

  About 70% of KDnuggets readers think that the demand for Data Scientists will increase, and 50% think it will increase significantly. At the same time, over 90% think the role of Data Scientist will change. What will the Data Scientist role be in 10 years?

  https://www.kdnuggets.com/2021/07/poll-data-scientists-not-extinct-10-years.html

• Data Scientists Will be Extinct in 10 Years">Data Scientists Will be Extinct in 10 Years

  And why it’s not a bad thing.

  https://www.kdnuggets.com/2021/06/data-scientists-extinct-10-years.html

• Choosing the Right BI Tool for Your Business

  Here are six questions to ask as you search for the best BI tool for your specific needs.

  https://www.kdnuggets.com/2021/05/choosing-right-bi-tool-business.html

• Awesome list of datasets in 100+ categories

  With an estimated 44 zettabytes of data in existence in our digital world today and approximately 2.5 quintillion bytes of new data generated daily, there is a lot of data out there you could tap into for your data science projects. It's pretty hard to curate through such a massive universe of data, but this collection is a great start. Here, you can find data from cancer genomes to UFO reports, as well as years of air quality data to 200,000 jokes. Dive into this ocean of data to explore as you learn how to apply data science techniques or leverage your expertise to discover something new.

  https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

• A checklist to track your Data Science progress">A checklist to track your Data Science progress

  Whether you are just starting out in data science or already a gainfully-employed professional, always learning more to advance through state-of-the-art techniques is part of the adventure. But, it can be challenging to track of your progress and keep an eye on what's next. Follow this checklist to help you scale your expertise from entry-level to advanced.

  https://www.kdnuggets.com/2021/05/checklist-data-science-progress.html

• The Most In Demand Skills for Data Engineers in 2021

  If you are preparing to make a career in data or are looking for opportunities to skill-up in your current data-centric role, then this analysis of in-demand skills for 2021, based on over 17,000 Data Engineer job postings, should offer you a good idea as to which programming languages and software tools are increasing and decreasing in importance.

  https://www.kdnuggets.com/2021/05/most-demand-skills-data-engineers-2021.html

• What Took Me So Long to Land a Data Scientist Job

  Learning all you need to learn about data science is only part of the adventure. Landing that first job is another. While it might take a while to get your foot into the door, there are several key efforts you can do to shorten this time as much as possible.

  https://www.kdnuggets.com/2021/03/land-data-scientist-job.html

• Data Science Curriculum for Professionals

  If you are looking to expand or transition your current professional career that is buried in spreadsheet analysis into one powered by data science, then you are in for an exciting but complex journey with much to explore and master. To begin your adventure, following this complete road map to guide you from a gnome in the forest of spreadsheets to an AI wizard known far and wide throughout the kingdom.

  https://www.kdnuggets.com/2021/03/data-science-curriculum-professionals.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

• A Critical Comparison of Machine Learning Platforms in an Evolving Market

  There’s a clear inclination towards the MLaaS model across industries, given the fact that companies today have an option to select from a wide range of solutions that can cater to diverse business needs. Here is a look at 3 of the top ML platforms for data excellence.

  https://www.kdnuggets.com/2021/02/critical-comparison-machine-learning-platforms-evolving-market.html

• Past 2021 Meetings / Online Events on AI, Analytics, Big Data, Data Science, and Machine Learning

  Past | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec Read more »

  https://www.kdnuggets.com/meetings/past-meetings-2021.html

• Baidu Research: 10 Technology Trends in 2021

  Understanding future technology trends may never have been as important as it is today. Check out the prediction of the 10 technology trends in 2021 from Baidu Research.

  https://www.kdnuggets.com/2021/01/top-10-technology-trends-2021.html

• How to Get a Job as a Data Engineer

  Data engineering skills are currently in high demand. If you are looking for career prospects in this fast-growing profession, then these 10 skills and key factors will help you prepare to land an entry-level position in this field.

  https://www.kdnuggets.com/2021/01/get-job-as-data-engineer.html

• 10 Python Skills They Don’t Teach in Bootcamp

  Ascend to new heights in Data Science and Machine Learning with this thrilling list of coding tips.

  https://www.kdnuggets.com/2020/12/10-python-skills-dont-teach-bootcamp.html

• 10 Python Skills for Beginners

  Python is the fastest growing, most-beloved programming language. Get started with these Data Science tips.

  https://www.kdnuggets.com/2020/12/10-python-skills-beginners.html

• Data Science History and Overview

  In this era of big data that is only getting bigger, a huge amount of information from different fields is gathered and stored. Its analysis and extraction of value have become one of the most attractive tasks for companies and society in general, which is harnessed by the new professional role of the Data Scientist.

  https://www.kdnuggets.com/2020/11/data-science-history-overview.html

• Is Data Science for Me? 14 Self-examination Questions to Consider">Is Data Science for Me? 14 Self-examination Questions to Consider

  You are intrigued by this exciting new field of Data Science, and you think you want in on the action. The demand remains very high and the salaries are strong. Before taking the leap onto this path, these questions will help you evaluate if you are ready for the challenges and opportunities.

  https://www.kdnuggets.com/2020/11/data-science-14-self-examination-questions.html

• How Automation Is Improving the Role of Data Scientists

  Here is an overview of 5 ways that data automation will enhance how scientists spend their time and improve the results they get.

  https://www.kdnuggets.com/2020/10/automation-improving-data-scientists.html