Search results for Computer Security

    Found 283 documents, 5920 searched:

  • 10 GitHub Repositories to Master Computer Science

    These GitHub repositories provide valuable resources for mastering computer science, including comprehensive roadmaps, free books and courses, tutorials, and hands-on coding exercises to help you gain the skills and knowledge necessary to thrive in the ever-evolving field of technology.

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

  • 5 Free University Courses to Learn Computer Science

    Want to switch to a tech career? Make it happen with these free computer science courses.

    https://www.kdnuggets.com/5-free-university-courses-to-learn-computer-science

  • Enroll in a 4-year Computer Science Degree Program For Free

    Enroll in the free OSSU Computer Science degree program and launch your career in tech today. Learn from high-quality courses from professors from leading universities like MIT, Harvard, and Princeton.

    https://www.kdnuggets.com/enroll-in-a-4-year-computer-science-degree-program-for-free

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

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

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

  • 6 Things You Need To Know About Data Management And Why It Matters For Computer Vision

    This article will explore a few areas that we feel are essential when assessing data management solutions for computer vision.

    https://www.kdnuggets.com/2022/05/6-things-need-know-data-management-matters-computer-vision.html

  • 10 AI Project Ideas in Computer Vision

    The field of computer vision has seen the development of very powerful applications leveraging machine learning. These projects will introduce you to these techniques and guide you to more advanced practice to gain a deeper appreciation for the sophistication now available.

    https://www.kdnuggets.com/2021/11/10-ai-project-ideas-computer-vision.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

  • Open Source Datasets for Computer Vision">Silver BlogOpen Source Datasets for Computer Vision

    Access to high-quality, noise-free, large-scale datasets is crucial for training complex deep neural network models for computer vision applications. Many open-source datasets are developed for use in image classification, pose estimation, image captioning, autonomous driving, and object segmentation. These datasets must be paired with the appropriate hardware and benchmarking strategies to optimize performance.

    https://www.kdnuggets.com/2021/08/open-source-datasets-computer-vision.html

  • Artificial Intelligence vs Machine Learning in Cybersecurity

    Artificial Intelligence and Machine Learning are the next-gen technology used in various fields. With the rise in online threats, it has become essential to include these technologies in cybersecurity. In this post, we will know what roles do AI and ML play in cybersecurity.

    https://www.kdnuggets.com/2021/08/artificial-intelligence-machine-learning-cybersecurity.html

  • 10 Steps for Tackling Data Privacy and Security Laws in 2020

    Data privacy laws, such as the CCPA, GDPR, and HIPAA, are here to stay and significantly impact everyone in the digital era. These steps will guide organizations to prepare for compliance and ensure they support the fundamental privacy rights of their customers and users.

    https://www.kdnuggets.com/2020/07/10-steps-data-privacy-security-laws.html

  • Crop Disease Detection Using Machine Learning and Computer Vision

    Computer vision has tremendous promise for improving crop monitoring at scale. We present our learnings from building such models for detecting stem and wheat rust in crops.

    https://www.kdnuggets.com/2020/06/crop-disease-detection-computer-vision.html

  • Deepfakes Security Risks

    Deepfakes have instilled panic in experts since they first emerged in 2017. Microsoft and Facebook have recently announced a contest to identify deepfakes more efficiently.

    https://www.kdnuggets.com/2020/01/deepfakes-security-risks.html

  • Applying Data Science to Cybersecurity Network Attacks & Events

    Check out this detailed tutorial on applying data science to the cybersecurity domain, written by an individual with backgrounds in both fields.

    https://www.kdnuggets.com/2019/09/applying-data-science-cybersecurity-network-attacks-events.html

  • Machine Learning Security

    We take a look at how malicious actors can break machine learning models and what some of the best practices are when it comes to stopping them.

    https://www.kdnuggets.com/2019/01/machine-learning-security.html

  • Does Machine Learning Have a Future Role in Cyber Security?

    In the past, ML learning hasn't had as much success in cyber security as in other fields. Many early attempts struggled with problems such as generating too many false positives, which resulted mixed attitudes towards it.

    https://www.kdnuggets.com/2017/06/machine-learning-future-role-cyber-security.html

  • The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity

    What’s going on now in the field of ‘AI’ resembles a soap bubble. And we all know what happens to soap bubbles eventually if they keep getting blown up by the circus clowns (no pun intended!): they burst.

    https://www.kdnuggets.com/2017/06/kaspersky-artificial-intelligence-bubble-future-cybersecurity.html

  • Machine Learning and Cyber Security Resources">Silver BlogMachine Learning and Cyber Security Resources

    An overview of useful resources about applications of machine learning and data mining in cyber security, including important websites, papers, books, tutorials, courses, and more.
     
     

    https://www.kdnuggets.com/2017/01/machine-learning-cyber-security.html

  • You Don’t Have to Use Docker Anymore

    Docker is not the only containerization tool out there and there might just be better alternatives…

    https://www.kdnuggets.com/2020/10/use-docker-anymore.html

  • Making Python Programs Blazingly Fast

    Let’s look at the performance of our Python programs and see how to make them up to 30% faster!

    https://www.kdnuggets.com/2020/09/making-python-programs-blazingly-fast.html

  • Automating Every Aspect of Your Python Project">Gold BlogAutomating Every Aspect of Your Python Project

    Every Python project can benefit from automation using Makefile, optimized Docker images, well configured CI/CD, Code Quality Tools and more…

    https://www.kdnuggets.com/2020/09/automating-every-aspect-python-project.html

  • Skynet Is Real: The History and Future of Factories With No Workers

    Let’s see whether robots will become "grave diggers" of the proletariat, what do we lack to get total automation, and what compromises exist.

    https://www.kdnuggets.com/2020/03/skynet-real-history-future-factories-no-workers.html

  • An Introduction to t-SNE with Python Example

    In this post we’ll give an introduction to the exploratory and visualization t-SNE algorithm. t-SNE is a powerful dimension reduction and visualization technique used on high dimensional data.

    https://www.kdnuggets.com/2018/08/introduction-t-sne-python.html

  • Comparing Distance Measurements with Python and SciPy

    This post introduces five perfectly valid ways of measuring distances between data points. We will also perform simple demonstration and comparison with Python and the SciPy library.

    https://www.kdnuggets.com/2017/08/comparing-distance-measurements-python-scipy.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

  • Popular Google Certification for All Areas in the Tech Industry

    Want to get into the tech industry but don’t want to learn how to code?

    https://www.kdnuggets.com/popular-google-certification-for-all-areas-in-the-tech-industry

  • What is a Database? Everything You Need to Know

    Unlocking Database Basics.

    https://www.kdnuggets.com/what-is-a-database-everything-you-need-to-know

  • Unlock the Secrets of LLMs in 60-Minute with Andrej Karpathy

    Karpathy's talk provides a comprehensive yet accessible introduction to large language models, explaining their capabilities, future potential, and associated security risks in an engaging manner.

    https://www.kdnuggets.com/unlock-the-secrets-of-llms-in-a-60-minute-with-andrej-karpathy

  • 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

  • A Roadmap For Your Data Career

    As you design your career in data, you’ve got to avoid getting stuck in your comfort zone or allowing your manager or current situation to determine your path.

    https://www.kdnuggets.com/a-roadmap-for-your-data-career

  • 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

  • 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

  • A Comprehensive List of Resources to Master Large Language Models

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

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

  • 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

  • From Fiction to Reality: ChatGPT and the Sci-Fi Dream of True AI Conversation

    Have our Sci-Fi dreams become reality?

    https://www.kdnuggets.com/from-fiction-to-reality-chatgpt-and-the-sci-fi-dream-of-true-ai-conversation

  • How to Use Hugging Face AutoTrain to Fine-tune LLMs

    Easily improve our LLM capability with this tool.

    https://www.kdnuggets.com/how-to-use-hugging-face-autotrain-to-finetune-llms

  • 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

  • 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

  • Gartner Hype Cycle for AI in 2023

    Let’s dive into how the AI landscape has rapidly evolved with the advent of new Generative AI technologies.

    https://www.kdnuggets.com/gartner-hype-cycle-for-ai-in-2023

  • 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

  • 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

  • The Power of Collaboration: How Open-Source Projects are Advancing AI

    In this article, we explore the profound impact of open-source projects on the creation of innovative AI solutions.

    https://www.kdnuggets.com/2023/08/power-collaboration-opensource-projects-advancing-ai.html

  • Creating A Simple Docker Data Science Image

    This concise primer walks through setting up a Python data science environment using Docker, covering creating a Dockerfile, building an image, running a container, sharing and deploying images, and pushing to Docker Hub.

    https://www.kdnuggets.com/2023/08/simple-docker-data-science-image.html

  • 5 Things You Need to Know When Building LLM Applications

    Five problems come with building LLM-based applications.

    https://www.kdnuggets.com/2023/08/5-things-need-know-building-llm-applications.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

  • 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

  • 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

  • Will 300 million Jobs really be Exposed or Lost to AI Replacement?

    The authors of the Goldman Sachs report suggest that 300 million jobs might be affected by AI replacement. Here’s why reason to be both cautious and hopeful.

    https://www.kdnuggets.com/2023/07/300-million-jobs-really-exposed-lost-ai-replacement.html

  • A Playbook to Scale MLOps

    MLOps teams are pressured to advance their capabilities to scale AI. We teamed up with Ford Motors to explore how to scale MLOps within an organization and how to get started.

    https://www.kdnuggets.com/2023/06/playbook-scale-mlops.html

  • What Are Foundation Models and How Do They Work?

    Foundation models represent a significant advancement in AI, enabling versatile and high-performing models that can be applied across various domains, such as NLP, computer vision, and multimodal tasks.

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

  • Fighting AI with AI Fraud Monitoring for Deepfake Applications

    An overview of Deepfake, and how they are being used to perpetuate financial fraud.

    https://www.kdnuggets.com/2023/05/fighting-ai-ai-fraud-monitoring-deepfake-applications.html

  • Breaking Down AutoGPT

    AutoGPT has taken the world by storm and has even surpassed ChatGPT itself. So, get ready to dive into the exciting world of Auto-GPT.

    https://www.kdnuggets.com/2023/05/breaking-autogpt.html

  • Overview of the AI Index Report: Measuring Trends in Artificial Intelligence

    Let’s go over what the Stanford Institute for Human-Centered Artificial Intelligence (HAI) found out about Artificial intelligence.

    https://www.kdnuggets.com/2023/04/overview-ai-index-report-measuring-trends-artificial-intelligence.html

  • The Ethics of AI: Navigating the Future of Intelligent Machines

    Why does the continuous growth and future of intelligent machines concern ethics?

    https://www.kdnuggets.com/2023/04/ethics-ai-navigating-future-intelligent-machines.html

  • Win a NVIDIA GPU with KDnuggets Blog Writing Contest

    KDnuggets and NVIDIA are announcing a blog-writing contest with a GPU focus, with the winner receiving an RTX 3080 Ti GPU!

    https://www.kdnuggets.com/2023/04/win-nvidia-gpu-kdnuggets-blog-writing-contest.html

  • The Future of Work: How AI is Changing the Job Landscape

    With more and more companies integrating artificial intelligence into the workplace, what does this mean for employees' futures and careers?

    https://www.kdnuggets.com/2023/04/future-work-ai-changing-job-landscape.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

  • Visual ChatGPT: Microsoft Combine ChatGPT and VFMs

    Microsoft announces Visual ChatGPT for talking, drawing, and editing with visual foundation models.

    https://www.kdnuggets.com/2023/03/visual-chatgpt-microsoft-combine-chatgpt-vfms.html

  • Data Quality Dimensions: Assuring Your Data Quality with Great Expectations

    This article highlights the significance of ensuring high-quality data and presents six key dimensions for measuring it. These dimensions include Completeness, Consistency, Integrity, Timelessness, Uniqueness, and Validity.

    https://www.kdnuggets.com/2023/03/data-quality-dimensions-assuring-data-quality-great-expectations.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

  • A List of 7 Best Data Modeling Tools for 2023

    Learn about data modeling tools to create, design and manage data models, allowing data scientists to access and use them more quickly.

    https://www.kdnuggets.com/2023/03/list-7-best-data-modeling-tools-2023.html

  • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1

    Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

    https://www.kdnuggets.com/2023/01/20-questions-detect-fake-data-scientists-chatgpt-1.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

  • 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

  • How Artificial Intelligence Will Change Mobile Apps

    There are numerous ways in which Artificial Intelligence (AI) will change the way we use mobile apps. As more and more users shift towards tablet computers and various mobile platforms, developers are coming up with new ideas for improving user experience. AI holds many key factors for the future of mobile app development and could indeed prove to be a game changer on almost all fronts.

    https://www.kdnuggets.com/2022/12/artificial-intelligence-change-mobile-apps.html

  • What To Expect for AI Quality Trends In 2023

    Based on the recent discussions with dozens of Fortune 500 data science teams, we can expect to see a continued spotlight on AI model quality in 2023.

    https://www.kdnuggets.com/2022/11/expect-ai-quality-trends-2023.html

  • Fake It Till You Make It: Generating Realistic Synthetic Customer Datasets

    Finding the data you need is hard. So why not fake it?

    https://www.kdnuggets.com/2022/01/fake-realistic-synthetic-customer-datasets-projects.html

  • Getting Started with Automated Text Summarization

    This article will walk through an extractive text summarization process, using a simple word frequency approach, implemented in Python.

    https://www.kdnuggets.com/2019/11/getting-started-automated-text-summarization.html

  • Top 10 MLOps Tools to Optimize & Manage Machine Learning Lifecycle

    As more businesses experiment with data, they realize that developing a machine learning (ML) model is only one of many steps in the ML lifecycle.

    https://www.kdnuggets.com/2022/10/top-10-mlops-tools-optimize-manage-machine-learning-lifecycle.html

  • The Benefits of Natural Language AI for Content Creators

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

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

  • The Data Quality Hierarchy of Needs

    Just as Maslow identified a hierarchy of needs for people, data teams have a hierarchy of needs, beginning with data freshness; including volumes, schemas, and values; and culminating with lineage.

    https://www.kdnuggets.com/2022/08/data-quality-hierarchy-needs.html

  • How to Perform Motion Detection Using Python

    KDnuggets Top Blog In this article, we will specifically take a look at motion detection using a webcam of a laptop or computer and will create a code script to work on our computer and see its real-time example.

    https://www.kdnuggets.com/2022/08/perform-motion-detection-python.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

  • Top 15 Books to Master Data Strategy

    In this article, we outline 15 books on topics ranging from the technical to the non-technical, to help you improve your understanding of end-to-end best practices related to data.

    https://www.kdnuggets.com/2022/06/top-15-books-master-data-strategy.html

  • Data Science is Overrated, Here’s Why

    Think twice before jumping on the data science bandwagon.

    https://www.kdnuggets.com/2022/06/data-science-overrated.html

  • The Complete Collection of Data Science Books – Part 2

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

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

  • Top Jobs and Salaries in Data Science in 2022

    If you are looking to get into the field, you are probably looking for something that you are interested in, but also know that you have a nicely compensated salary. Read more here.

    https://www.kdnuggets.com/2022/05/top-jobs-salaries-data-science-2022.html

  • The 6 Python Machine Learning Tools Every Data Scientist Should Know About

    KDnuggets Top Blog Let's look at six must-have tools every data scientist should use.

    https://www.kdnuggets.com/2022/05/6-python-machine-learning-tools-every-data-scientist-know.html

  • The Complete Collection of Data Science Books – Part 1

    KDnuggets Top Blog Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

    https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-1.html

  • The Complete Collection Of Data Repositories – Part 2

    Check out the collection of the best data repositories on healthcare, natural language, neuroscience, physics, social network, sports, time series, transportation, miscellaneous, and super data repositories.

    https://www.kdnuggets.com/2022/04/complete-collection-data-repositories-part-2.html

  • Low Code: Are Developers Still Needed?

    Have low-code solutions subverted the need for developers? Are experienced software developers going the way of the dodo? Read on to find out.

    https://www.kdnuggets.com/2022/04/low-code-developers-still-needed.html

  • The Complete Collection Of Data Repositories – Part 1

    KDnuggets Top Blog Check out the collection of the best data repositories on agriculture, audio, biology, climate, computer vision, economics, education, energy, finance, and government.

    https://www.kdnuggets.com/2022/04/complete-collection-data-repositories-part-1.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

  • The Most Popular Intro to Programming Course From Harvard is Free!

    KDnuggets Top Blog CS50's Introduction to Computer Science has the highest enrollment on Harvard's campus... and is free to anyone interested in taking it!

    https://www.kdnuggets.com/2022/03/popular-intro-programming-course-harvard-free.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

  • 4 Ways Hackers Are Using Data Science to Steal Billions

    The best way to stop your enemy is to know your enemy. Here are four ways hackers are using data science - and how they can be stopped.

    https://www.kdnuggets.com/2022/02/4-ways-hackers-data-science-steal-billions.html

  • Data Science Programming Languages and When To Use Them

    KDnuggets Top Blog 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

  • How to Build Your Career in Data Science

    If you’re a Data Scientist and you’re setting your 2022 goals to improve and build your career, you’ve landed on the right page.

    https://www.kdnuggets.com/2022/02/build-career-data-science.html

  • How to Set Up Your Data Science Stack on a Budget

    Whether you’re working independently or setting up a stack for a company, you need an affordable stack option. Here’s how you can set up your stack without spending too much.

    https://www.kdnuggets.com/2022/01/data-science-stack-budget.html

  • Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership

    In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership. He also argues that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail.

    https://www.kdnuggets.com/2022/01/models-rarely-deployed-industrywide-failure-machine-learning-leadership.html

  • Learn Deep Learning by Building 15 Neural Network Projects in 2022

    Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio.

    https://www.kdnuggets.com/2022/01/15-neural-network-projects-build-2022.html

  • 11 Best Companies to Work for as a Data Scientist

    This list of best data science companies aims to go beyond the usual and expected. Some great and perhaps underrated options to get a job as a data scientist.

    https://www.kdnuggets.com/2021/12/11-best-companies-work-data-scientist.html

  • How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022

    AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022.

    https://www.kdnuggets.com/2021/12/aiml-technology-integration-help-business-achieving-goals-2022.html

  • How to Get Into Data Analytics If You Don’t Have the Right Degree

    So, is a career in data analytics a good fit for you?

    https://www.kdnuggets.com/2021/12/how-to-get-into-data-analytics.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

  • What Is AI Model Governance?

    How exactly does AI model governance help tackle these issues? And how can you ensure you’re using it to best fit your needs? Read on.

    https://www.kdnuggets.com/2021/12/ai-model-governance.html

  • Data Labeling for Machine Learning: Market Overview, Approaches, and Tools

    So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever. Here, we highlight many of the top players in this industry and the techniques they use to help you consider which might make a good partner for your needs.

    https://www.kdnuggets.com/2021/12/data-labeling-ml-overview-and-tools.html

  • Main 2021 Developments and Key 2022 Trends in AI, Data Science, Machine Learning Technology

    Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

    https://www.kdnuggets.com/2021/12/trends-ai-data-science-ml-technology.html

  • What Does a Data Scientist Do?

    This guide provides you with the best possible, most direct, and clear answers to "What is data science?" and "What does a data scientist do?".

    https://www.kdnuggets.com/2021/12/what-does-a-data-scientist-do.html

  • 3 Differences Between Coding in Data Science and Machine Learning

    The terms ‘data science’ and ‘machine learning’ are often used interchangeably. But while they are related, there are some glaring differences, so let’s take a look at the differences between the two disciplines, specifically as it relates to programming.

    https://www.kdnuggets.com/2021/11/3-differences-coding-data-science-machine-learning.html

  • Want to Join a Bank? Everything Data Scientists Need to Know About Working in Fintech

    There is ample opportunity for data scientists in the financial services sector. The career experience can be very different, however, from similar roles at pure technology organizations. So, it's best to first consider if this industry is right for your interests, preferences for how you work, and long-term goals.

    https://www.kdnuggets.com/2021/10/bank-data-scientists-working-fintech.html

  • Analyze Python Code in Jupyter Notebooks

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    https://www.kdnuggets.com/2021/10/analyze-python-code-jupyter-notebooks.html

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

  • Building and Operationalizing Machine Learning Models: Three tips for success

    With more enterprises implementing machine learning to improve revenue and operations, properly operationalizing the ML lifecycle in a holistic way is crucial for data teams to make their projects efficient and effective.

    https://www.kdnuggets.com/2021/10/building-operationalizing-machine-learning-models.html

  • GitHub Copilot and the Rise of AI Language Models in Programming Automation

    Read on to learn more about what makes Copilot different from previous autocomplete tools (including TabNine), and why this particular tool has been generating so much controversy.

    https://www.kdnuggets.com/2021/09/github-copilot-rise-ai-language-models-programming-automation.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

  • The Prefect Way to Automate & Orchestrate Data Pipelines

    I am migrating all my ETL work from Airflow to this super-cool framework.

    https://www.kdnuggets.com/2021/09/prefect-way-automate-orchestrate-data-pipelines.html

  • How is Machine Learning Beneficial in Mobile App Development?

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    https://www.kdnuggets.com/2021/09/machine-learning-beneficial-mobile-app-development.html

  • 7 reasons you should get a formal degree in Data Science

    So many options are now available online to learn in the field of data science. There are several factors to consider to determine if these options or a traditional degree from an academic institution is the best approach for your personal learning style and career aspirations.

    https://www.kdnuggets.com/2021/08/7-reasons-degree-data-science.html

  • Amazon Web Services Webinar: Accelerating clinical trial and biomedical development processes with healthcare data

    Join this webinar on August 27 to learn how to leverage external healthcare datasets to make faster decisions with greater accuracy – accelerating biomedical development and improving patient welfare.

    https://www.kdnuggets.com/2021/08/aws-webinar-clinical-trial-biomedical-development-healthcare.html

  • A Brief Introduction to the Concept of Data">Silver BlogA Brief Introduction to the Concept of Data

    Every aspiring data scientist must know the concept of data and the kind of analysis they can run. This article introduces the concept of data (quantitative and qualitative) and the types of analysis.

    https://www.kdnuggets.com/2021/07/brief-introduction-concept-data.html

  • Understanding BERT with Hugging Face

    We don’t really understand something before we implement it ourselves. So in this post, we will implement a Question Answering Neural Network using BERT and a Hugging Face Library.

    https://www.kdnuggets.com/2021/07/understanding-bert-hugging-face.html

  • Major changes: Where Analytics, Data Science, Machine Learning were applied in 2020/21

    Our latest poll shows major change in where AI, Data Science, Machine Learning are being applied, with decline in interest in traditional fields like CRM/Consumer Analytics, and growth in applications to Computer Vision, COVID, Agriculture, and Education.

    https://www.kdnuggets.com/2021/06/poll-where-analytics-data-science-ml-applied.html

  • These Soft Skills Can Make or Break Your Data Science Career

    In an industry long ruled by hard skills, the future career success of tomorrow’s data scientists might well depend on their ability to deploy a variety of soft skills into the workplace.

    https://www.kdnuggets.com/2021/05/soft-skills-data-science-career.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

  • Best Python Books for Beginners and Advanced Programmers

    Let's take a look at nine of the best Python books for both beginners and advanced programmers, covering topics such as data science, machine learning, deep learning, NLP, and more.

    https://www.kdnuggets.com/2021/05/best-python-books-beginner-advanced.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

  • Overview of MLOps

    Building a machine learning model is great, but to provide real business value, it must be made useful and maintained to remain useful over time. Machine Learning Operations (MLOps), overviewed here, is a rapidly growing space that encompasses everything required to deploy a machine learning model into production, and is a crucial aspect to delivering this sought after value.

    https://www.kdnuggets.com/2021/03/overview-mlops.html

  • 15 common mistakes data scientists make in Python (and how to fix them)

    Writing Python code that works for your data science project and performs the task you expect is one thing. Ensuring your code is readable by others (including your future self), reproducible, and efficient are entirely different challenges that can be addressed by minimizing common bad practices in your development.

    https://www.kdnuggets.com/2021/03/15-common-mistakes-python.html

  • Getting Started with Distributed Machine Learning with PyTorch and Ray

    Ray is a popular framework for distributed Python that can be paired with PyTorch to rapidly scale machine learning applications.

    https://www.kdnuggets.com/2021/03/getting-started-distributed-machine-learning-pytorch-ray.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

  • 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

  • Machine learning adversarial attacks are a ticking time bomb

    Software developers and cyber security experts have long fought the good fight against vulnerabilities in code to defend against hackers. A new, subtle approach to maliciously targeting machine learning models has been a recent hot topic in research, but its statistical nature makes it difficult to find and patch these so-called adversarial attacks. Such threats in the real-world are becoming imminent as the adoption of machine learning spreads, and a systematic defense must be implemented.

    https://www.kdnuggets.com/2021/01/machine-learning-adversarial-attacks.html

  • What is Graph Theory, and Why Should You Care?

    Go from graph theory to path optimization.

    https://www.kdnuggets.com/2021/01/graph-theory-why-care.html

  • How to Get a Job as a Data Scientist">Silver BlogHow to Get a Job as a Data Scientist

    Here’s a step-by-step guide to starting your career in data science.

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

  • 11 Industrial AI Trends that will Dominate the World in 2021

    These trends broadly cover the three themes of: Where will businesses adopt AI in 2021? How will AI become more accessible? How will AI capabilities evolve?

    https://www.kdnuggets.com/2021/01/11-industrial-ai-trends-dominate-2021.html

  • Navigate the road to Responsible AI

    Deploying AI ethically and responsibly will involve cross-functional team collaboration, new tools and processes, and proper support from key stakeholders.

    https://www.kdnuggets.com/2020/12/navigate-road-responsible-ai.html

  • Industry 2021 Predictions for AI, Analytics, Data Science, Machine Learning

    We bring you industry predictions from 12 innovative companies - what key trends they expect in 2021 in AI, Analytics, Data Science, and Machine Learning?

    https://www.kdnuggets.com/2020/12/industry-2021-predictions-ai-data-science-machine-learning.html

  • Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology">Gold BlogMain 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology

    Our panel of leading experts reviews 2020 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

    https://www.kdnuggets.com/2020/12/developments-trends-ai-data-science-machine-learning-technology.html

  • 15 Exciting AI Project Ideas for Beginners">Silver Blog15 Exciting AI Project Ideas for Beginners

    There are many branches to AI to learn, but a project-based approach can keep things interesting. Here is a list of 15 such projects you can get started on implementing today.

    https://www.kdnuggets.com/2020/11/greatlearning-ai-project-ideas-beginners.html

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