Search results for Cyber Security

Found 153 documents, 5930 searched:

• 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

• Machine Learning and Cyber Security Resources">Machine 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

• AI-Automated Cybersecurity: What to Automate?

  Soon AI will become embedded into daily business processes, including cybersecurity controls. The author explains how to assess which processes make sense to automate.

  https://www.kdnuggets.com/ai-automated-cybersecurity-what-to-automate

• Be prepared to manage the threat with an MS in Cybersecurity from Bay Path University

  Bay Path’s Master’s in Cybersecurity prepares students to step into the workforce and assume immediate responsibility for the management and oversight of such systems.

  https://www.kdnuggets.com/2022/12/baypath-prepared-manage-threat-ms-cybersecurity.html

• Be prepared to manage the threat with an MS in Cybersecurity from Bay Path University

  Bay Path’s Master’s in Cybersecurity prepares students to step into the workforce and assume immediate responsibility for the management and oversight of such systems.

  https://www.kdnuggets.com/2022/07/baypath-prepared-manage-threat-ms-cybersecurity.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

• 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

• Cybersecurity: Managing Risk in the Information age, Harvard online short course

  Learn how to identify and manage operational risk, litigation risk and reputational risk. This course is brought to you by HarvardX in collaboration with GetSmarter, experts in online education for working professionals.

  https://www.kdnuggets.com/2017/11/harvard-cybersecurity-managing-risk-online-course.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

• 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

• 7 Data Security Best Practices for 2021

  Here are seven data security best practices to adopt this year.

  https://www.kdnuggets.com/2021/06/7-data-security-best-practices-2021.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

• 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

• Top 7 Data Science Use Cases in Trust and Security

  What are trust and safety? What is the role of trust and security in the modern world? Read this overview of 7 data science application use cases in the realm of trust and security.

  https://www.kdnuggets.com/2019/12/top-7-data-science-use-cases-trust-security.html

• Big Data and Data Science for Security and Fraud Detection

  We review big data analytics tools and technologies that combine text mining, machine learning and network analysis for security threat prediction, detection and prevention at an early stage.

  https://www.kdnuggets.com/2015/12/big-data-science-security-fraud-detection.html

• Security and Intelligence Solutions

  DataWalk, a next-generation enterprise-class software platform to easily connect many large data sets for fast analysis using intuitive visualizations, histograms, link diagrams, maps, and timelines, Read more »

  https://www.kdnuggets.com/solutions/security-intelligence.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

• Machine Learning-driven Firewall

  Cyber Security is always a hot topic in IT industry and machine learning is making security systems more stronger. Here, a particular use case of machine learning in cyber security is explained in detail.

  https://www.kdnuggets.com/2017/02/machine-learning-driven-firewall.html

• 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

• 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

• Learn How to Run Alpaca-LoRA on Your Device in Just a Few Steps

  Learn about the ChatGPT-like platform Alpaca-LoRA and how to run it on your device.

  https://www.kdnuggets.com/2023/05/learn-run-alpacalora-device-steps.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

• What Are The Downsides of AI Advancement?

  While AI has certainly several positive uses to offer the world, it’s also displaying harm when it comes to academics, cybersecurity, the environment, jobs, and privacy.

  https://www.kdnuggets.com/2023/03/downsides-ai-advancement.html

• Announcing a Blog Writing Contest, Winner Gets an NVIDIA GPU!

  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/2022/11/blog-writing-contest-nvidia-gpu.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 Industries and Employers Hiring Data Scientists in 2022

  This article presents the top industries and companies that are currently actively hiring data scientists.

  https://www.kdnuggets.com/2022/06/top-industries-employers-hiring-data-scientists-2022.html

• Top 18 Data Science Groups on LinkedIn

  Join the best data science professional groups on LinkedIn to share insights and experiences, ask for guidance, and build valuable connections.

  https://www.kdnuggets.com/2022/06/top-18-data-science-group-linkedin.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

• A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment

  How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment.

  https://www.kdnuggets.com/2021/12/deployment-machine-learning-algorithm-live-production-environment.html

• Stop Running Jupyter Notebooks From Your Command Line

  Instead, run your Jupyter Notebook as a stand alone web app.

  https://www.kdnuggets.com/2020/10/stop-running-jupyter-notebooks-command-line.html

• Phishytics – Machine Learning for Detecting Phishing Websites

  Since phishing is such a widespread problem in the cybersecurity domain, let us take a look at the application of machine learning for phishing website detection.

  https://www.kdnuggets.com/2020/03/phishytics-machine-learning-detecting-phishing-websites.html

• Trends in Machine Learning in 2020

  Many industries realize the potential of Machine Learning and are incorporating it as a core technology. Progress and new applications of these tools are moving quickly in the field, and we discuss expected upcoming trends in Machine Learning for 2020.

  https://www.kdnuggets.com/2020/03/trends-machine-learning-2020.html

• Writing Your First Neural Net in Less Than 30 Lines of Code with Keras

  Read this quick overview of neural networks and learn how to implement your first in very few lines using Keras.

  https://www.kdnuggets.com/2019/10/writing-first-neural-net-less-30-lines-code-keras.html

• Best US/Canada Masters in Analytics, Business Analytics, Data Science

  In the final part of this series, we provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across the US and Canada.

  https://www.kdnuggets.com/2019/05/best-masters-data-science-analytics-us-canada.html

• The Data Science Gold Rush: Top Jobs in Data Science and How to Secure Them

  Because big data touches almost every industry across the board, those who aren’t already working in data and analytics will soon be utilizing the technology for its undeniable business benefits. Whichever way you slice it, the future of work is through data.

  https://www.kdnuggets.com/2019/01/top-jobs-data-science.html

• Onboarding Your Machine Learning Program

  Machine Learning's popularity is continuing to grow and has engraved itself in pretty much every industry. This article contains lessons from a data scientist on how to unlock it's full potential.

  https://www.kdnuggets.com/2018/04/onboarding-machine-learning.html

• Four Big Data Trends for 2018

  Curious about the future of Big Data and AI? Here’s what the trends have it in 2018 for innovations.

  https://www.kdnuggets.com/2018/01/four-big-data-trends-2018.html

• TensorFlow for Short-Term Stocks Prediction

  In this post you will see an application of Convolutional Neural Networks to stock market prediction, using a combination of stock prices with sentiment analysis.

  https://www.kdnuggets.com/2017/12/tensorflow-short-term-stocks-prediction.html

• Big Data: Main Developments in 2017 and Key Trends in 2018">Big Data: Main Developments in 2017 and Key Trends in 2018

  As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Big Data experts as to the most important developments of 2017 and their 2018 key trend predictions.

  https://www.kdnuggets.com/2017/12/big-data-main-developments-2017-key-trends-2018.html

• Best Masters in Data Science and Analytics in US/Canada

  Second comprehensive list of master's degrees in the US and Canada with tuition information and duration.

  https://www.kdnuggets.com/2017/11/best-masters-data-science-analytics-us-canada.html

• The Key to Data Monetization

  While I have talked frequently about the concept of Analytic Profiles, I’ve never written a blog that details how Analytic Profiles work. So let’s create a “Day in the Life” of an Analytic Profile to explain how an Analytic Profile works to capture and “monetize” your analytic assets.

  https://www.kdnuggets.com/2017/07/key-data-monetization.html

• The dynamics between AI and IoT

  We see the need for a new type of Engineer who will combine knowledge from Electronics & IoT with Machine learning, AI, Robotics, Cloud and Data management (devops).

  https://www.kdnuggets.com/2017/04/dynamics-ai-iot.html

• 50 Companies Leading The AI Revolution, Detailed">50 Companies Leading The AI Revolution, Detailed

  We detail 50 companies leading the Artificial Intelligence revolution in AD Sales, CRM, Autotech, Business Intelligence and analytics, Commerce, Conversational AI/Bots, Core AI, Cyber-Security, Fintech, Healthcare, IoT, Vision, and other areas.

  https://www.kdnuggets.com/2017/03/50-companies-leading-ai-revolution-detailed.html

• Where are the Opportunities for Machine Learning Startups?

  Machine learning has permeated data-driven businesses, which means almost all businesses. Here are a few areas where it’s possible that big corporations haven’t already eaten everybody’s lunch.

  https://www.kdnuggets.com/2016/06/opportunites-machine-learning-startups.html

• KDnuggets™ News 14:n27, Oct 22

  Features | Software | Opinions | Interviews | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n27.html

• 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

• 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

• AI in Intimate Roles: Girlfriends and Therapists

  This article is a brief overview of the field of Emotion AI, and the potential applications of its technology in intimate roles.

  https://www.kdnuggets.com/ai-in-intimate-roles-girlfriends-and-therapists

• 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

• Expert Insights on Developing Safe, Secure, and Trustworthy AI Frameworks

  In alignment with President Biden's recent Executive Order emphasizing safe, secure, and trustworthy AI, we share our Trusted AI (TAI) lessons learned two years into the course of our US Federally funded TAI research projects.

  https://www.kdnuggets.com/expert-insights-on-developing-safe-secure-and-trustworthy-ai-frameworks

• 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

• An Honest Comparison of Open Source Vector Databases

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

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

• 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

• 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

• Data Visualization: Presenting Complex Information Effectively

  Learn how to present complex information effectively with data visualization.

  https://www.kdnuggets.com/data-visualization-presenting-complex-information-effectively

• 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

• How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second

  This article describes a large-scale data warehousing use case to provide reference for data engineers who are looking for log analytic solutions. It introduces the log processing architecture and real-case practice in data ingestion, storage, and queries.

  https://www.kdnuggets.com/how-to-digest-15-billion-logs-per-day-and-keep-big-queries-within-1-second

• 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

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

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

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

• Introduction to 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

• Always Learning: How AI Prevents Data Breaches

  This article discusses the use of Artificial Intelligence to prevent data breaches. It discusses how AI can be used to detect malicious activity and identify patterns in data that can be flagged, which can help security teams take action to mitigate threats.

  https://www.kdnuggets.com/2023/07/always-learning-ai-prevents-data-breaches.html

• A Beginner’s Guide to Anomaly Detection Techniques in Data Science

  In this article, I will give you a brief introduction to anomaly detection and I will guide you through the different techniques that you can use to identify anomalies.

  https://www.kdnuggets.com/2023/05/beginner-guide-anomaly-detection-techniques-data-science.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

• ChatGPT in Education: Friend or Foe?

  Students can cheat and ignore critical thinking, or they could have an always-on tutor and be freely curious without judgment. Which side will ChatGPT fall on when it comes to education?

  https://www.kdnuggets.com/2023/05/chatgpt-education-friend-foe.html

• Can ChatGPT Be Trusted as an Educational Resource?

  ChatGPT has created a flurry of discussion in the educational community. Will it encourage people to cheat or become lazy? What helpful uses exist? Learn more here.

  https://www.kdnuggets.com/2023/05/chatgpt-trusted-educational-resource.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

• Data Analytics: The Four Approaches to Analyzing Data and How To Use Them Effectively

  You will learn about descriptive analytics, data warehousing, machine learning, and big data.

  https://www.kdnuggets.com/2023/04/data-analytics-four-approaches-analyzing-data-effectively.html

• 5 Data Management Challenges with Solutions

  This report provides an overview of the challenges that arise in data management and the solutions that can help overcome these challenges.

  https://www.kdnuggets.com/2023/04/5-data-management-challenges-solutions.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

• Master the Power of Data Analytics: The Four Approaches to Analyzing Data

  Learn about descriptive analytics, data warehousing, machine learning, and big data.

  https://www.kdnuggets.com/2023/03/master-power-data-analytics-four-approaches-analyzing-data.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

• What Can AI-Powered RPA and IA Mean For Businesses?

  RPA and IA have stunned the business world by availing impressive, intelligent automation capabilities for scales of businesses across industries, which we'll know in this blog.

  https://www.kdnuggets.com/2022/12/aipowered-rpa-ia-mean-businesses.html

• AI in FinTech: Managing the Finance of the Future

  Digital transformation is evolving, and so is the fintech industry by implementing AI trends and leveraging several benefits, such as optimizing productivity, increasing ROI, and enhancing security.

  https://www.kdnuggets.com/2022/10/ai-fintech-managing-finance-future.html

• KDnuggets News, September 28: Free Algorithms in Python Course • Lessons from a Senior Data Scientist

  Free Algorithms in Python Course • Lessons from a Senior Data Scientist • The Absolute Basics of MLOps • Data Analyst Skills You Need for Your Next Promotion • Dimensionality Reduction Techniques in Data Science

  https://www.kdnuggets.com/2022/n38.html

• KDnuggets News, August 24: Implementing DBSCAN in Python • How to Avoid Overfitting

  Implementing DBSCAN in Python • How to Avoid Overfitting • Simplify Data Processing with Pandas Pipeline • How to Use Data Visualization to Add Impact to Your Work Reports and Presentations • The Data Quality Hierarchy of Needs

  https://www.kdnuggets.com/2022/n34.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

• KDnuggets News, August 3: 10 Most Used Tableau Functions • Is Domain Knowledge Important for Machine Learning?

  10 Most Used Tableau Functions • Is Domain Knowledge Important for Machine Learning? • ETL vs ELT: Data Integration Showdown • Free MLOps Crash Course for Beginners • 90% of Today’s Code is Written to Prevent Failure, and That’s a Problem

  https://www.kdnuggets.com/2022/n31.html

• European AI Act: The Simplified Breakdown

  The AI act aims to ensure excellence in the EU, provide the correct conditions for the development of AI and guarantee that AI systems are beneficial to people.

  https://www.kdnuggets.com/2022/06/european-ai-act-simplified-breakdown.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

• 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

• Data Science Interview Guide – Part 2: Interview Resources

  Check out these resources to help you prepare for your data science Interview, or for those who are brushing up on their technical skills or who want to start learning data science.

  https://www.kdnuggets.com/2022/04/data-science-interview-guide-part-2-interview-resources.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

• The Significance of Data Quality in Making a Successful Machine Learning Model

  Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.

  https://www.kdnuggets.com/2022/03/significance-data-quality-making-successful-machine-learning-model.html

• What is Adversarial Machine Learning?

  In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a malfunction in the model. 

  https://www.kdnuggets.com/2022/03/adversarial-machine-learning.html

• What Is the Difference Between SQL and Object-Relational Mapping (ORM)?

  Object-relational mapping, or ORM, is a technique that allows you to interact with databases using the object-oriented paradigm of the programming language of your choosing. How is that different from structured query language, though, and when do you use them?

  https://www.kdnuggets.com/2022/02/difference-sql-object-relational-mapping-orm.html

• The Challenges of Being a Data Scientist

  According to a Stack Overflow survey, 13.2% of the data scientists are looking for a new job, as they are not satisfied in their current role. So why is this happening? What are the challenges Data Scientists are facing?

  https://www.kdnuggets.com/2022/02/data-scientist-challenges.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

• Why are More Developers Using Python for Their Machine Learning Projects?

  To support the creation of new and exciting ML and artificial intelligence (AI) applications, developers need a robust programming language. That's where the Python programming language comes in.

  https://www.kdnuggets.com/2022/01/developers-python-machine-learning-projects.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

• 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 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

• How Data Scientists Can Get the Ear of CFOs (And Why You Want It)

  Hey, data scientists! Here’s how to bend your CFO’s ear, equip your company with high-quality analysis, and boost your value and career in the process.

  https://www.kdnuggets.com/2021/12/data-scientists-get-ear-cfos-want.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

• 7 of The Coolest Machine Learning Topics of 2021 at ODSC West

  At our upcoming event this November 16th-18th in San Francisco, ODSC West 2021 will feature a plethora of talks, workshops, and training sessions on machine learning topics, deep learning, NLP, MLOps, and so on. You can register now for 20% off all ticket types, or register for a free AI Expo Pass to see what some big names in AI are doing now.

  https://www.kdnuggets.com/2021/11/odsc-7-coolest-machine-learning-topics.html

• Dealing with Data Leakage

  Target leakage and data leakage represent challenging problems in machine learning. Be prepared to recognize and avoid these potentially messy problems.

  https://www.kdnuggets.com/2021/10/dealing-data-leakage.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

• Coding Ethics for AI & AIOps: Designing Responsible AI Systems

  AI ops has taken Human machine collaboration to the next level where humans and machines are not just coexisting but are collaborating and working together like team members.

  https://www.kdnuggets.com/2021/08/coding-ethics-ai-aiops-designing-responsible-ai-systems.html

• Towards a Responsible and Ethical AI

  It is not the technology at fault, but the intention.

  https://www.kdnuggets.com/2021/07/towards-responsible-ethical-ai.html

• How to Create Unbiased Machine Learning Models

  In this post we discuss the concepts of bias and fairness in the Machine Learning world, and show how ML biases often reflect existing biases in society. Additionally, We discuss various methods for testing and enforcing fairness in ML models.

  https://www.kdnuggets.com/2021/07/create-unbiased-machine-learning-models.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

• Using Data Science to Predict and Prevent Real World Problems

  Do you have an interest in data science but lack an understanding of what, exactly, it can be used to accomplish in the real world? Read this article for a few examples of just how helpful data science can be for predicting and preventing real world problems.

  https://www.kdnuggets.com/2021/04/data-science-predict-prevent-real-world-problems.html

• How to Succeed in Becoming a Freelance Data Scientist">How to Succeed in Becoming a Freelance Data Scientist

  With recent growth in data science, now is the best time to get into freelancing. The following steps will help you get started with finding clients or help you improve your current strategy.

  https://www.kdnuggets.com/2021/03/succeed-becoming-freelance-data-scientist.html

• The Difficulty of Graph Anonymisation

  Lessons from network science and the difficulty of graph anonymization. A data scientist's take on the difficultly of striking a balance between privacy and utility in anonymizing connected data.

  https://www.kdnuggets.com/2021/02/difficulty-graph-anonymisation.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

• Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology">Main 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">15 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

• The List of Top 10 Lists in Data Science">The List of Top 10 Lists in Data Science

  The list of Top 10 lists that Data Scientists -- from enthusiasts to those who want to jump start a career -- must know to smoothly navigate a path through this field.

  https://www.kdnuggets.com/2020/08/top-10-lists-data-science.html

• Deep Learning in Finance: Is This The Future of the Financial Industry?

  Get a handle on how deep learning is affecting the finance industry, and identify resources to further this understanding and increase your knowledge of the various aspects.

  https://www.kdnuggets.com/2020/07/deep-learning-finance-future-financial-industry.html

• Successful Use Cases of Artificial Intelligence for Businesses

  AI is contributing to the businesses in a huge way. For specifics, check out these successful use cases of AI for business.

  https://www.kdnuggets.com/2020/04/successful-use-cases-ai-business.html

• Diffusion Map for Manifold Learning, Theory and Implementation

  This article aims to introduce one of the manifold learning techniques called Diffusion Map. This technique enables us to understand the underlying geometric structure of high dimensional data as well as to reduce the dimensions, if required, by neatly capturing the non-linear relationships between the original dimensions.

  https://www.kdnuggets.com/2020/03/diffusion-map-manifold-learning-theory-implementation.html

• Analyzing GDPR Fines – who are largest violators?

  Fines from the GDPR have been rolling in since its inception in 2018. This article investigates who are the largest penalty recipients by country, the amounts, and private individuals.

  https://www.kdnuggets.com/2020/03/analyzing-gdpr-fines.html

• Prepare for a Long Battle against Deepfakes

  While deepfakes threaten to destroy our perception of reality, the tech giants are throwing down the gauntlet and working to enhance the state of the art in combating doctored videos and images.

  https://www.kdnuggets.com/2020/02/long-battle-against-deepfakes.html

• Understanding Density-based Clustering

  HDBSCAN is a robust clustering algorithm that is very useful for data exploration, and this comprehensive introduction provides an overview of its fundamental ideas from a high-level view above the trees to down in the weeds.

  https://www.kdnuggets.com/2020/02/understanding-density-based-clustering.html

• The 4 Hottest Trends in Data Science for 2020">The 4 Hottest Trends in Data Science for 2020

  The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.

  https://www.kdnuggets.com/2019/12/4-hottest-trends-data-science-2020.html

• How Data Analytics Can Assist in Fraud Detection

  A primary advantage of data analytics tools is that they can handle massive quantities of information at once. These solutions typically learn what's normal within a collection of information and how to spot anomalies.

  https://www.kdnuggets.com/2019/11/data-analytics-assist-fraud-detection.html

• Anomaly Detection, A Key Task for AI and Machine Learning, Explained

  One way to process data faster and more efficiently is to detect abnormal events, changes or shifts in datasets. Anomaly detection refers to identification of items or events that do not conform to an expected pattern or to other items in a dataset that are usually undetectable by a human expert.

  https://www.kdnuggets.com/2019/10/anomaly-detection-explained.html

• How AI will transform healthcare (and can it fix the US healthcare system?)">How AI will transform healthcare (and can it fix the US healthcare system?)

  This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.

  https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html

• Data Driven Government – Speakers Highlights

  The lineup of experienced, thought-leading speakers at Data Driven Government, Sep 25 in Washington, DC, will explain how to use data and analytics to more effectively accomplish your mission, increase efficiency, and improve evidence-based policymaking.

  https://www.kdnuggets.com/2019/08/paw-data-driven-government-speakers-highlights.html

• Big Data for Insurance

  The insurance industry has always been quite conservative; however, the adoption of new technologies is not just a modern trend but a necessity to maintain the competitive pace. In the modern digital era, Big Data technologies help to process vast amounts of information, increase workflow efficiency, and reduce operational costs. Learn more about the benefits of Big Data for insurance from our material.

  https://www.kdnuggets.com/2019/07/big-data-insurance.html

• Generative Adversarial Networks – Key Milestones and State of the Art

  We provide an overview of Generative Adversarial Networks (GANs), discuss challenges in GANs learning, and examine two promising GANs: the RadialGAN, designed for numbers, and the StyleGAN, which does style transfer for images.

  https://www.kdnuggets.com/2019/04/future-generative-adversarial-networks.html

• 2019 Best Masters in Data Science and Analytics – Online

  We provide an updated comprehensive and objective survey of online Masters in Analytics and Data Science, including rankings, tuition, and duration of the education program.

  https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-online.html

• 3 Big Problems with Big Data and How to Solve Them

  We discuss some of the negatives of using big data, including false equivalences and bias, vulnerability to security breaches, protecting against unauthorized access and the lack of international standards for data privacy regulations.

  https://www.kdnuggets.com/2019/04/3-big-problems-big-data.html

• My favorite mind-blowing Machine Learning/AI breakthroughs">My favorite mind-blowing Machine Learning/AI breakthroughs

  We present some of our favorite breakthroughs in Machine Learning and AI in recent times, complete with papers, video links and brief summaries for each.

  https://www.kdnuggets.com/2019/03/favorite-ml-ai-breakthroughs.html

• 19 Inspiring Women in AI, Big Data, Data Science, Machine Learning">19 Inspiring Women in AI, Big Data, Data Science, Machine Learning

  For the 2019 international women's day, we profile a new set of 19 inspiring women who lead the field in AI, Big Data, Data Science, and Machine Learning fields.

  https://www.kdnuggets.com/2019/03/women-ai-big-data-science-machine-learning.html

• OpenAI’s GPT-2: the model, the hype, and the controversy

  OpenAI recently released a very large language model called GPT-2. Controversially, they decided not to release the data or the parameters of their biggest model, citing concerns about potential abuse. Read this researcher's take on the issue.

  https://www.kdnuggets.com/2019/03/openai-gpt-2-model-hype-controversy.html

• Natural Language Processing for Social Media

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

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

• Data Science For Our Mental Development

  In this blog, I aim to generalize how AI can help us with mental development in the future as well as discuss some of the present-day solutions.

  https://www.kdnuggets.com/2019/02/data-science-mental-development.html

• Top 10 Technology Trends of 2019">Top 10 Technology Trends of 2019

  This article outlines 10 top trending technologies for 2019, a list which covers diverse topics such as security, IoT, reinforcement learning, energy sustainability, smart cities, and much more.

  https://www.kdnuggets.com/2019/02/top-10-technology-trends-2019.html

• Past 2019 Meetings / Conferences on AI, Analytics, Big Data, Data Science, and Machine Learning

  Past | 2019 Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Read more »

  https://www.kdnuggets.com/meetings/past-meetings-2019.html