Search results for Cryptography

Found 34 documents, 5928 searched:

• 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

• 5 Free University Courses to Learn Computer Science

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

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

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

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

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

• Exploring the Latest Trends in AI/DL: From Metaverse to Quantum Computing

  The author discusses several emerging trends in Artificial Intelligence and Deep Learning such as Metaverse and Quantum Computing.

  https://www.kdnuggets.com/2023/07/exploring-latest-trends-aidl-metaverse-quantum-computing.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

• 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

• 9 Free Resources to Master Python

  Python is the most popular general-purpose language and you can learn it for free.

  https://www.kdnuggets.com/2022/11/9-free-resources-master-python.html

• Analyzing Diversity & Inclusion with SQL

  The most underrated SQL function for analyzing diversity.

  https://www.kdnuggets.com/2022/11/analyzing-diversity-inclusion-sql.html

• Which is Best: Data Science Bootcamp vs Degree vs Online Course

  Let’s break down each of the three options: the pros, the cons, the cost, and what you can expect to get out of them in the end.

  https://www.kdnuggets.com/2022/09/best-data-science-bootcamp-degree-online-course.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

• What’s the Difference Between Data Analysts and Data Scientists?

  This article will help you understand what data analysts and data scientists do with data in detail.

  https://www.kdnuggets.com/2022/03/difference-data-analysts-data-scientists.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

• How to do “Limitless” Math in Python

  How to perform arbitrary-precision computation and much more math (and fast too) than what is possible with the built-in math library in Python.

  https://www.kdnuggets.com/2021/10/limitless-math-python.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

• 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 KDnuggets tweets, Nov 04-10: #DataVisualization of people votes. Land doesn’t vote. People do.

  Also: Accelerated Natural Language Processing: A #Free Amazon #MachineLearning University Course; Essential data science skills that no one talks about; U.S. election maps are wildly misleading, so this designer fixed them; Top Certificates and Certifications in #Analytics, #DataScience, #MachineLearning and AI

  https://www.kdnuggets.com/2020/11/top-tweets-nov04-10.html

• You Don’t Have to Use Docker Anymore

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

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

• Making Python Programs Blazingly Fast

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

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

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

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

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

• Time Complexity: How to measure the efficiency of algorithms

  When we consider the complexity of an algorithm, we shouldn’t really care about the exact number of operations that are performed; instead, we should care about how the number of operations relates to the problem size.

  https://www.kdnuggets.com/2020/06/time-complexity-measure-efficiency-algorithms.html

• Basics of Audio File Processing in R

  This post provides basic information on audio processing using R as the programming language. It also walks through and understands some basics of sound and digital audio.

  https://www.kdnuggets.com/2020/02/basics-audio-file-processing-r.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

• PySyft and the Emergence of Private Deep Learning

  PySyft is an open-source framework that enables secured, private computations in deep learning, by combining federated learning and differential privacy in a single programming model integrated into different deep learning frameworks such as PyTorch, Keras or TensorFlow.

  https://www.kdnuggets.com/2019/06/pysyft-emergence-deep-learning.html

• Careful! Looking at your model results too much can cause information leakage

  We all are aware of the issue of overfitting, which is essentially where the model you build replicates the training data results so perfectly its fitted to the training data and does not generalise to better represent the population the data comes to, with catastrophic results when you feed in new data and get very odd results.

  https://www.kdnuggets.com/2019/05/careful-looking-model-results-cause-information-leakage.html

• AI is a Big Fat Lie

  Is AI legit? This treatise by Eric Siegel, which ridicules the widespread myth of artificial intelligence, is enlightening and actually pretty funny. It's time for the term AI to be “terminated.”

  https://www.kdnuggets.com/2019/01/dr-data-ai-big-fat-lie.html

• 10 More Must-See Free Courses for Machine Learning and Data Science">10 More Must-See Free Courses for Machine Learning and Data Science

  Have a look at this follow-up collection of free machine learning and data science courses to give you some winter study ideas.

  https://www.kdnuggets.com/2018/12/10-more-free-must-see-courses-machine-learning-data-science.html

• When Bayes, Ockham, and Shannon come together to define machine learning

  A beautiful idea, which binds together concepts from statistics, information theory, and philosophy.

  https://www.kdnuggets.com/2018/09/when-bayes-ockham-shannon-come-together-define-machine-learning.html

• Building an Audio Classifier using Deep Neural Networks

  Using a deep convolutional neural network architecture to classify audio and how to effectively use transfer learning and data-augmentation to improve model accuracy using small datasets.

  https://www.kdnuggets.com/2017/12/audio-classifier-deep-neural-networks.html

• Blockchain Key Terms, Explained

  Need a quick glance over some important definitions associated with the Blockchain? Then consider this article your Blockchain Definitions 101!

  https://www.kdnuggets.com/2017/11/blockchain-key-terms-explained.html

• Is Blockchain the Ultimate Enabler of Data Monetization?

  Is blockchain the ultimate enabler of data and analytics monetization; creating marketplaces where companies, individuals and even smart entities (cars, trucks, building, airports, malls) can share/sell/trade/barter their data and analytic insights directly with others?

  https://www.kdnuggets.com/2017/04/blockchain-ultimate-enabler-data-monetization.html

• 6 areas of AI and Machine Learning to watch closely">6 areas of AI and Machine Learning to watch closely

  Artificial Intelligence is a generic term and many fields of science overlaps when comes to make an AI application. Here is an explanation of AI and its 6 major areas to be focused, going forward.

  https://www.kdnuggets.com/2017/01/6-areas-ai-machine-learning.html

• Academic, Research Positions in Big Data, Data Mining, Data Science, Machine Learning

    To add here a short entry for an academic or research position related to AI, Big Data, Data Science, or Machine Learning, email 5 Read more »

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

• The Evolution of the Data Scientist

  We trace the evolution of Data Science from ancient mathematics to statistics and early neural networks, to present successes like AlphaGo and self-driving car, and look into the future.

  https://www.kdnuggets.com/2016/03/evolution-data-scientist.html