Search results for Encryption

Found 54 documents, 5922 searched:

• Sentiment Analysis on Encrypted Data with Homomorphic Encryption

  This blog post uses the Concrete-ML library, allowing data scientists to use machine learning models in fully homomorphic encryption (FHE) settings without any prior knowledge of cryptography. We provide a practical tutorial on how to use the library to build a sentiment analysis model on encrypted data.

  https://www.kdnuggets.com/2022/12/zama-sentiment-analysis-encrypted-data-homomorphic-encryption.html

• A Data Lake, You Call It? It’s a Data Swamp

  How and why the data lake architecture often fails to meet its promises. And how better governance helps mitigate such challenges.

  https://www.kdnuggets.com/a-data-lake-you-call-it-it-a-data-swamp

• Leveraging AI to Design Fair and Equitable EV Charging Grids

  Learn how AI can be used to design fair and efficient EV charging grids by optimizing their placement and pricing.

  https://www.kdnuggets.com/leveraging-ai-to-design-fair-and-equitable-ev-charging-grids

• 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

• 5 Free University Courses to Learn Python

  Looking for the best resources to learn Python programming? Check out these free university courses.

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

• 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

• 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

• Data Management Principles for Data Science

  Back to Basics: Understanding key data management principles that data scientists should know.

  https://www.kdnuggets.com/data-management-principles-for-data-science

• 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

• A Comprehensive Guide to MLOps

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

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

• Data access is severely lacking in most companies, and 71% believe synthetic data can help

  MOSTLY AI has conducted the first-ever synthetic data survey in the data science AI/ML community. Check out the results here.

  https://www.kdnuggets.com/2023/07/mostly-data-access-severely-lacking-synthetic-data-help.html

• Data Analytics Tools You Need To Know in 2023

  What tools do you need to know to be a successful data analyst?

  https://www.kdnuggets.com/2023/05/data-analytics-tools-need-know-2023.html

• Data Masking: The Core of Ensuring GDPR and other Regulatory Compliance Strategies

  This article has provided an overview of data masking and its importance in ensuring compliance with GDPR and other global regulations.

  https://www.kdnuggets.com/2023/05/data-masking-core-ensuring-gdpr-regulatory-compliance-strategies.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

• Automate the Boring Stuff with GPT-4 and Python

  Speed up your daily workflows by getting AI to write Python code in seconds.

  https://www.kdnuggets.com/2023/03/automate-boring-stuff-chatgpt-python.html

• Data Lakes and SQL: A Match Made in Data Heaven

  In this article, we will discuss the benefits of using SQL with a data lake and how it can help organizations unlock the full potential of their data.

  https://www.kdnuggets.com/2023/01/data-lakes-sql-match-made-data-heaven.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

• Is OLAP Dead?

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

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

• Machine Learning Over Encrypted Data

  This blog outlines a solution to the Kaggle Titanic challenge that employs Privacy-Preserving Machine Learning (PPML) using the Concrete-ML open-source toolkit.

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

• NLP, NLU, and NLG: What’s The Difference? A Comprehensive Guide

  This article aims to quickly cover the similarities and differences between NLP, NLU, and NLG and talk about what the future for NLP holds.

  https://www.kdnuggets.com/2022/06/nlp-nlu-nlg-difference-comprehensive-guide.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 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

• Cloud Storage Adoption is the Need of the Hour for Business

  The rush towards cloud storage means that the cloud has to offer a valuable proposition to businesses. Let’s explore why businesses regardless of their size should consider moving to the cloud.

  https://www.kdnuggets.com/2022/02/cloud-storage-adoption-need-hour-business.html

• Celebrating Awareness of the Importance of Data Privacy

  January 28 is Data Privacy Day, bringing awareness of the basic foundation and principles of data protection. Read about the day itself, why data privacy is important, and best practices you can adhere to in order to help ensure the privacy of your data.

  https://www.kdnuggets.com/2022/01/celebrating-awareness-importance-data-privacy.html

• Federated Learning: Collaborative Machine Learning with a Tutorial on How to Get Started

  Read on to learn more about the intricacies of federated learning and what it can do for machine learning on sensitive data.

  https://www.kdnuggets.com/2021/12/federated-learning-collaborative-machine-learning-tutorial-get-started.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

• Save Sarah Connor with Data Science

  Data science and data privacy are deeply interwoven, and must be carefully considered by practitioners. In comparing the Safe Harbour and Expert Determination data obfuscation approaches, Safe Harbour has been very popular among data engineers but has fundamental limitations, where Expert Determination offers important advantages.

  https://www.kdnuggets.com/2021/10/save-sarah-connor-data-science.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

• The 7 Best Open Source AI Libraries You May Not Have Heard Of

  AI researchers today have many exciting options for working with specialized tools. Although starting original projects from scratch is often not necessary, knowing which existing library to leverage remains a challenge. This list of generally unknown yet awesome, open-source libraries offers an interesting collection to consider for state-of-the-art research that spans from automatic machine learning to differentiable quantum circuits.

  https://www.kdnuggets.com/2021/06/7-open-source-ai-libraries.html

• BigQuery vs Snowflake: A Comparison of Data Warehouse Giants

  In this article we are going to compare the two topmost data warehouses: BigQuery and Snowflake.

  https://www.kdnuggets.com/2021/06/bigquery-snowflake-comparison-data-warehouse-giants.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

• Top 3 Challenges for Data & Analytics Leaders

  The author shares the 3 top challenges faced as they led and established a data & analytics function, as well as ways in which these challenges were addressed. How have you solved the one challenge which has remained elusive to the author?

  https://www.kdnuggets.com/2021/04/top-3-challenges-data-analytics-leaders.html

• What is Adversarial Neural Cryptography?

  The novel approach combines GANs and cryptography in a single, powerful security method.

  https://www.kdnuggets.com/2021/04/adversarial-neural-cryptography.html

• Cloud Data Warehouse is The Future of Data Storage

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

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

• Deploying Secure and Scalable Streamlit Apps on AWS with Docker Swarm, Traefik and Keycloak

  If you are a data scientist who just wants to get the work done but doesn’t necessarily want to go down the DevOps rabbit hole, this tutorial offers a relatively straightforward deployment solution leveraging Docker Swarm and Traefik, with an option of adding user authentication with Keycloak.

  https://www.kdnuggets.com/2020/10/deploying-secure-scalable-streamlit-apps-aws-docker-swarm-traefik-keycloak.html

• Data Protection Techniques Needed to Guarantee Privacy

  This article takes a look at the concepts of data privacy and personal data. It presents several privacy protection techniques and explains how they contribute to preserving the privacy of individuals.

  https://www.kdnuggets.com/2020/10/data-protection-techniques-guarantee-privacy.html

• Comparing the Top Business Intelligence Tools: Power BI vs Tableau vs Qlik vs Domo

  How smart are your organizations’ decisions? Do you have the right information to make those decisions in the first place?

  https://www.kdnuggets.com/2020/10/comparing-top-business-intelligence-tools.html

• Breaking Privacy in Federated Learning

  Despite the benefits of federated learning, there are still ways of breaching a user’s privacy, even without sharing private data. In this article, we’ll review some research papers that discuss how federated learning includes this vulnerability.

  https://www.kdnuggets.com/2020/08/breaking-privacy-federated-learning.html

• 5 Essential Papers on AI Training Data

  Data pre-processing is not only the largest time sink for most Data Scientists, but it is also the most crucial aspect of the work. Learn more about training data and data processing tasks from 5 leading academic papers.

  https://www.kdnuggets.com/2020/06/5-essential-papers-ai-training-data.html

• Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch">Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch

  The new release of PyTorch includes some impressive open source projects for deep learning researchers and developers.

  https://www.kdnuggets.com/2019/11/facebook-quietly-open-sourcing-amazing-deep-learning-capabilities-pytorch.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

• 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

• 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

• DynamoDB vs. Cassandra: from “no idea” to “it’s a no-brainer”

  DynamoDB vs. Cassandra: have they got anything in common? If yes, what? If no, what are the differences? We answer these questions and examine performance of both databases.

  https://www.kdnuggets.com/2018/08/dynamodb-vs-cassandra.html

• DevOps for Data Scientists: Taming the Unicorn

  How do we version control the model and add it to an app? How will people interact with our website based on the outcome? How will it scale!?

  https://www.kdnuggets.com/2018/07/devops-data-scientists-taming-unicorn.html

• Blockchain Explained in 7 Python Functions">Blockchain Explained in 7 Python Functions

  It wasn’t until I wrote my own simple Blockchain, that I truly understood what it is and the potential applications for it. So without further ado, lets set up our 7 functions!

  https://www.kdnuggets.com/2018/04/blockchain-explained-7-python-functions.html

• Are Data Lakes Fake News?">Are Data Lakes Fake News?

  The quick answer is yes, and the biggest problem is that the term “Data Lakes” has been overloaded by vendors and analysts with different meanings, resulting in an ill-defined and blurry concept.

  https://www.kdnuggets.com/2017/09/data-lakes-fake-news.html

• The Surprising Complexity of Randomness

  The reason we have pseudorandom numbers is because generating true random numbers using a computer is difficult. Computers, by design, are excellent at taking a set of instructions and carrying them out in the exact same way, every single time.

  https://www.kdnuggets.com/2017/06/surprising-complexity-randomness.html

• Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017">Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017

  As 2016 comes to a close and we prepare for a new year, check out the final instalment in our "Main Developments in 2016 and Key Trends in 2017" series, where experts weigh in with their opinions.

  https://www.kdnuggets.com/2016/12/machine-learning-artificial-intelligence-main-developments-2016-key-trends-2017.html

• Internet of Things Key Terms, Explained

  This post will define 12 Key Terms for the Internet of Things, in straightforward manner.

  https://www.kdnuggets.com/2016/07/internet-of-things-key-terms-explained.html

• 35 Open Source tools for Internet of Things

  If you have heard about the Internet of Things many times by now, its time to join the conversation. Explore the many open source tools & projects related to Internet of Things.

  https://www.kdnuggets.com/2016/07/open-source-tools-internet-things.html

• What is the importance of Dark Data in Big Data world?

  Dark data is a subset of big data, but it constitutes the biggest portion of the total volume of big data collected by organizations in a year. We will discuss about what opportunities this holds for an organization.

  https://www.kdnuggets.com/2015/11/importance-dark-data-big-data-world.html

• 11 segments of Big Data Ecosystem, according to Sqrrl

  Sqrrl, a Big Data startup founded by the ex-NSA engineers, breaks down Big Data Market into 11 segments.

  https://www.kdnuggets.com/2013/03/sqrrl-view-big-data-ecosystem.html