25 Years of SSL - Secure - ish - Sockets Layer
Explore the 25-year evolution of web encryption, its challenges, recent advancements, and future prospects in securing online communications.
Implementing OpenID Connect and OAuth 2.0 – Tips from the Trenches
Architectural patterns for identity & access control using OpenID Connect and OAuth 2.0, addressing common challenges in token-based systems for modern applications.
We Are the Guardians of Our Future
Exploring the ethical implications of AI and software development, emphasizing the responsibility of engineers to create fair, unbiased systems that protect privacy and human rights.
Make Your Custom .NET GC - Whys and Hows
Explore the Local GC feature in .NET Core 2.1, enabling custom garbage collection implementation or using default GC outside .NET. Learn the process, benefits, and challenges of creating your own GC.
The OWASP Top Ten Proactive Controls 2018
Explore critical security techniques for web application development, including secure coding practices, data protection, and access control, as outlined in the OWASP Top Ten Proactive Controls 2018.
What You Always Wanted to Know About Deep Learning, but Were Afraid to Ask
Demystifying Deep Learning: key concepts, practical applications, and hands-on training for object recognition. Gain a clear understanding of AI fundamentals and start your journey into machine learning.
Securing CCTV Cameras Against Blind Spots - Analysis of Location-Based Detection Vulnerabilities
Explore how CCTV camera blind spots create security vulnerabilities through location-based confidence weakness, and learn about TipToe - a novel evasion attack demonstrating detection flaws across various conditions.
An Intro to Crypto - Building Blocks
Explore crypto's evolution from Bitcoin to Ethereum, smart contracts, and new applications. Learn about digital money, mining, tokens, and privacy in this comprehensive introduction to cryptocurrency networks.
How to Use the Roboflow Upload API - Python
Learn to programmatically add images and annotations to datasets using Roboflow's Upload API, enabling active learning and continuous improvement of computer vision models.
Best Indexes for Similarity Search in Faiss
Explore composite indexes for optimizing vector similarity search, focusing on IVFADC, Multi-D-ADC, and IVF-HNSW methods in Faiss to balance recall, latency, and memory usage.
Training With BertForPretraining
Explore BERT training techniques, focusing on NSP and MLM logic, with practical implementation steps and code examples for effective model fine-tuning.
Training BERT - Train With Masked-Language Modeling
Learn to fine-tune BERT models using masked language modeling in PyTorch for domain-specific NLP tasks, enhancing performance beyond out-of-the-box capabilities.
Sentence Similarity With Transformers and PyTorch
Learn to measure semantic similarity between sentences using BERT and PyTorch. Explore tokenization, vector creation, and cosine similarity calculation for powerful NLP applications.
Identify Stocks on Reddit with SpaCy - NER in Python
Learn to extract stock mentions from Reddit using SpaCy's Named Entity Recognition, enabling automated classification and analysis of unstructured text data for financial insights.
Training Latent Dirichlet Allocation: Gibbs Sampling - Part 2
Explore Gibbs sampling for training Latent Dirichlet Allocation models, learning to sort documents into topics efficiently through practical exercises and in-depth explanations.
Latent Dirichlet Allocation - Part 1
Explore Latent Dirichlet Allocation, a powerful machine learning technique for sorting documents by topic. Learn its principles, applications, and implementation in this comprehensive tutorial.
Naive Bayes Classifier - A Friendly Approach
Visual explanation of Bayes' Theorem and Naive Bayes algorithm, applied to spam detection. Accessible approach requiring only basic math skills and a desire to learn.
Shannon Entropy and Information Gain
Explore Shannon entropy and information gain concepts through interactive examples, quizzes, and games. Learn to calculate probabilities and apply formulas for various scenarios.
A Friendly Introduction to Recurrent Neural Networks
Explore how computers predict and generate sequences using Recurrent Neural Networks. Learn about vectors, neural networks, and practical applications in cooking, weather, and more.
EfficientNet Paper Walkthrough
Comprehensive walkthrough of the EfficientNet paper, exploring model scaling, proposed methods, and results. Offers insights into innovative approaches for improving neural network efficiency.
Building Our First Simple GAN
Learn to build a simple Generative Adversarial Network (GAN) using fully connected layers and train it on the MNIST dataset. Explore the architecture, setup, and training process for this fundamental deep learning model.