Search results for Network Security

Found 321 documents, 5922 searched:

• 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

• 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

• 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

• 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

• 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

• Random Forest® vs Neural Networks for Predicting Customer Churn

  Let us see how random forest competes with neural networks for solving a real world business problem.

  https://www.kdnuggets.com/2019/12/random-forest-vs-neural-networks-predicting-customer-churn.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

• 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

• 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

• Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras">Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras

  We show how to build a deep neural network that classifies images to many categories with an accuracy of a 90%. This was a very hard problem before the rise of deep networks and especially Convolutional Neural Networks.

  https://www.kdnuggets.com/2017/11/understanding-deep-convolutional-neural-networks-tensorflow-keras.html

• Introduction to Neural Networks, Advantages and Applications">Introduction to Neural Networks, Advantages and Applications

  Artificial Neural Network (ANN) algorithm mimic the human brain to process information. Here we explain how human brain and ANN works.

  https://www.kdnuggets.com/2017/07/introduction-neural-networks-advantages-applications.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">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

• 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

• Graph and Social Network Analysis, Link Analysis, and Visualization

  commercial software | sites | free software AdvancedMiner Social Network Analysis (SNA), models social relationships among persons, designed to enhance the available customer information with Read more »

  https://www.kdnuggets.com/software/social-network-analysis.html

• Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs">Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs

  From network security to financial fraud, anomaly detection helps protect businesses, individuals, and online communities. To help improve anomaly detection, researchers have developed a new approach called MIDAS.

  https://www.kdnuggets.com/2020/04/midas-new-baseline-anomaly-detection-graphs.html

• Unveiling Unsupervised Learning

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

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

• 10 Statistical Concepts You Should Know For Data Science Interviews

  Data Science is founded on time-honored concepts from statistics and probability theory. Having a strong understanding of the ten ideas and techniques highlighted here is key to your career in the field, and also a favorite topic for concept checks during interviews.

  https://www.kdnuggets.com/2021/02/10-statistical-concepts-data-science-interviews.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

• 8 New Tools I Learned as a Data Scientist in 2020

  The author shares the data science tools learned while making the move from Docker to Live Deployments.

  https://www.kdnuggets.com/2021/01/8-new-tools-learned-data-scientist-2020.html

• What is Web Scraping and Why You Should Learn It?

  Introducing Octoparse - a sleek, powerful and easy-to-use software that makes web scraping from any websites achievable for most people, including non-coders.

  https://www.kdnuggets.com/2018/09/octoparse-web-scraping.html

• Making Sense of Machine Learning">Making Sense of Machine Learning

  Broadly speaking, machine learners are computer algorithms designed for pattern recognition, curve fitting, classification and clustering. The word learning in the term stems from the ability to learn from data.

  https://www.kdnuggets.com/2017/06/making-sense-machine-learning.html

• 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

• 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

• 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

• 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

• Navigating the Data Revolution: Exploring the Booming Trends in Data Science and Machine Learning

  Dive into transformative trends in data science, encompassing AI-powered automation, NLP, ethical considerations, decentralized computing, and interdisciplinary collaboration.

  https://www.kdnuggets.com/navigating-the-data-revolution-exploring-the-booming-trends-in-data-science-and-machine-learning

• 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

• Read This Before Making a Career Switch to Data Science

  From Skill Assessment to Networking: Your Roadmap to Thriving in the World of Data Science.

  https://www.kdnuggets.com/read-this-before-making-a-career-switch-to-data-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

• 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

• Top 10 Kaggle Machine Learning Projects to Become Data Scientist in 2024

  Master Data Science with Top 10 Kaggle ML Projects to become a Data Scientist.

  https://www.kdnuggets.com/top-10-kaggle-machine-learning-projects-to-become-data-scientist-in-2024

• 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

• Remote Work in Data Science: Pros and Cons

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

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

• 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

• The 5 Best Vector Databases You Must Try in 2024

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

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

• 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

• 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

• 7 Steps to Mastering Large Language Models (LLMs)

  Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.

  https://www.kdnuggets.com/7-steps-to-mastering-large-language-models-llms

• 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

• 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

• Build Your Own PandasAI with LlamaIndex

  Learn how to leverage LlamaIndex and GPT-3.5-Turbo to easily add natural language capabilities to Pandas for intuitive data analysis and conversation.

  https://www.kdnuggets.com/build-your-own-pandasai-with-llamaindex

• 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

• 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

• 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

• Introduction to Safetensors

  Introducing a new tool that offers speed, efficiency, cross-platform compatibility, user-friendliness, and security for deep learning applications.

  https://www.kdnuggets.com/2023/07/introduction-safetensors.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

• 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

• Super Bard: The AI That Can Do It All and Better

  A new AI Bard powered by PaLM V2 that can write, translate, and code better than ChatGPT.

  https://www.kdnuggets.com/2023/05/super-bard-ai-better.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

• From Data Analyst to Data Strategist: The Career Path for Making an Impact

  The transition from a data analyst to a data strategist with this guide on acquiring skills, building a portfolio, networking, and job search strategies.

  https://www.kdnuggets.com/2023/05/data-analyst-data-strategist-career-path-making-impact.html

• Open Assistant: Explore the Possibilities of Open and Collaborative Chatbot Development

  Join the open-source movement and create your own ChatGPT-like chatbot with the power of the Open Assistant.

  https://www.kdnuggets.com/2023/04/open-assistant-explore-possibilities-open-collaborative-chatbot-development.html

• How to Get Hired as Data Scientist in the GPT-4 Era

  We will be focusing on statistics, core data science concepts, NLP, prompt engineering, data science portfolio, interview preparation, and AIOps.

  https://www.kdnuggets.com/2023/04/get-hired-data-scientist-gpt4-era.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

• 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

• Post GPT-4: Answering Most Asked Questions About AI

  Is AI overhyped, or is there a valid reason to be afraid?

  https://www.kdnuggets.com/2023/04/post-gpt4-answering-asked-questions-ai.html

• 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

• 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

• 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

• Top Free Courses on Large Language Models

  Interested in learning how ChatGPT and other AI chatbots work under the hood? Look no further. Check out these free courses and resources on large language models from Stanford, Princeton, ETH, and more.

  https://www.kdnuggets.com/2023/03/top-free-courses-large-language-models.html

• Tapping into the Potential of Data Products in 2023

  Learn how data can be treated as a product and how it can be used to derive value.

  https://www.kdnuggets.com/2023/01/tapping-potential-data-products-2023.html

• Setup and use JupyterHub (TLJH) on AWS EC2

  JupyterHub is a multi-user, container-friendly version of the Jupyter Notebook. However, it can be difficult to setup. This blog post will make you less likely to run into issues in this 15+ step process.

  https://www.kdnuggets.com/2023/01/setup-jupyterhub-tljh-aws-ec2.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 to Get Your First Job in Data Science without Any Work Experience

  Creativity, grit, and perseverance will become the three words you live by.

  https://www.kdnuggets.com/2021/02/first-job-data-science-without-work-experience.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

• Simple and Fast Data Streaming for Machine Learning Projects

  Learn about the cutting-edge DagsHub's Direct Data Access for simple and faster data loading and model training.

  https://www.kdnuggets.com/2022/11/simple-fast-data-streaming-machine-learning-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

• How Data Science Fuels Fraud Prevention

  By themselves, these data points will probably not provide much insight into a single customer. However, a company that has some or all of this information is well-positioned to have a strong idea of how legitimate its visitors are.

  https://www.kdnuggets.com/2022/09/data-science-fuels-fraud-prevention.html

• Machine Learning Metadata Store

  In this article, we will learn about metadata stores, the need for them, their components, and metadata store management.

  https://www.kdnuggets.com/2022/08/machine-learning-metadata-store.html

• Machine Learning in the Enterprise: Use Cases & Challenges

  This article provides insights into how leading data scientists are embracing machine learning in their organizations and covers some of the major ML challenges and trends in the enterprise.

  https://www.kdnuggets.com/2022/08/dss-machine-learning-enterprise-cases-challenges.html

• Full Stack Everything? Organizational Intersections Between Data Science, Dev & Tech

  Breakthrough value is found when teams collaborate at their intersections to come up with innovative solutions.

  https://www.kdnuggets.com/2022/08/full-stack-everything-organizational-intersections-data-science-dev-tech.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

• The AIoT Revolution: How AI and IoT Are Transforming Our World

  The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.

  https://www.kdnuggets.com/2022/07/aiot-revolution-ai-iot-transforming-world.html

• MLOps: The Key To Pushing AI Into The Mainstream

  In this blog, we will aim at discussing the reasons that make MLOps an essential aspect of pushing AI mainstream. Besides, we will highlight the capabilities of MLOps as a catalyst for AI implementation.

  https://www.kdnuggets.com/2022/07/mlops-key-pushing-ai-mainstream.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

• 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

• 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

• 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

• The Complete Collection of Data Science Books – Part 2

  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

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

  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

  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

• Deep Learning For Compliance Checks: What’s New?

  By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.

  https://www.kdnuggets.com/2022/05/deep-learning-compliance-checks-new.html

• Will DeepMind’s AlphaCode Replace Programmers?

  New milestone achieved by AlphaCode in competitive programming. Should software engineers fear for their jobs? Will AI replace us or assist us?

  https://www.kdnuggets.com/2022/04/deepmind-alphacode-replace-programmers.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 Complete Collection Of Data Repositories – Part 1

  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!

  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

• On-device AI with Developer-Ready Software Stacks

  Still running your artificial intelligence workloads in the cloud? If your applications depend on techniques like person detection and pose estimation to name a few, then it’s time you looked into on-device AI.

  https://www.kdnuggets.com/2022/03/qualcomm-ondevice-ai-developer-ready-software-stacks.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 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

• How To Use Synthetic Data To Overcome Data Shortages For Machine Learning Model Training

  It takes time and considerable resources to collect, document, and clean data before it can be used. But there is a way to address this challenge – by using synthetic data.

  https://www.kdnuggets.com/2022/03/synthetic-data-overcome-data-shortages-machine-learning-model-training.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

• 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 Mesh & Its Distributed Data Architecture

  Going forward, data professionals have found a new way to address the scalability of sources through data mesh.

  https://www.kdnuggets.com/2022/02/data-mesh-distributed-data-architecture.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

• 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

• What Makes Python An Ideal Programming Language For Startups">What Makes Python An Ideal Programming Language For Startups

  In this blog, we will discuss what makes Python so popular, its features, and why you should consider Python as a programming language for your startup.

  https://www.kdnuggets.com/2021/12/makes-python-ideal-programming-language-startups.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

• 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

• A Beginner’s Guide to End to End Machine Learning

  Learn to train, tune, deploy and monitor machine learning models.

  https://www.kdnuggets.com/2021/12/beginner-guide-end-end-machine-learning.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

• 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

• The Case for a Global Responsible AI Framework

  Public and private organizations have come out with their own set of AI principles, focusing on AI-related risks from their perspective. However, it’s imperative d=to have a global consensus on Responsible AI – based on data governance, transparency and accountability – on how to utilize and benefit from AI in a way that is both consistent and ethical.

  https://www.kdnuggets.com/2021/10/responsible-ai-framework.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

• Create Synthetic Time-series with Anomaly Signatures in Python

  A simple and intuitive way to create synthetic (artificial) time-series data with customized anomalies — particularly suited to industrial applications.

  https://www.kdnuggets.com/2021/10/synthetic-time-series-anomaly-signatures-python.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?

  Mobile app developers have a lot to gain by implementing AI & Machine Learning from the revolutionary changes that these disruptive technologies can offer. This is due to AI and ML's potential to strengthen mobile applications, providing for smoother user experiences capable of leveraging powerful features.

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

• Django’s 9 Most Common Applications">Django’s 9 Most Common Applications

  Django is a Python web application framework enjoying widespread adoption in the data science community. But what else can you use Django for? Read this article for 9 use cases where you can put Django to work.

  https://www.kdnuggets.com/2021/08/django-9-common-applications.html

• Open Source Datasets for Computer Vision">Open 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

• 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

• 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

• 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

• 5 Tips for Picking an Edge AI Platform

  Edge Analytics isn’t just coding and tools. The different environment outside the datacenter or cloud means a purpose built platform is the best way to deliver consistent results. We discuss 5 different considerations for an edge platform to support your training and deployment.

  https://www.kdnuggets.com/2021/06/5-tips-edge-ai-platform.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

• Topic Modeling with Streamlit

  What does it take to create and deploy a topic modeling web application quickly? Read this post to see how the author uses Python NLP packages for topic modeling, Streamlit for the web application framework, and Streamlit Sharing for deployment.

  https://www.kdnuggets.com/2021/05/topic-modeling-streamlit.html

• How to pitch to VCs, explained: The Deck We Used to Raise Capital For Our Open-Source ELT Platform

  Winning seed funding from venture capitalists is a daunting task, and the pitch is key. Learn how one effective slide deck resulted in a successful early funding round for an open-source start-up, Airbyte.

  https://www.kdnuggets.com/2021/05/vc-pitch-deck-open-source-elt-platform.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