How a Data Scientist Fights Fraud - With Code!
Explore data science techniques for fraud detection, including feature engineering, SQL querying, model creation, evaluation, and interpretation, with hands-on coding examples.
Make a Beautiful Ggplot2 Bar Chart from Basic to Powerful Themes
Learn to create stunning ggplot2 bar charts in R, from basic techniques to advanced theming. Master data cleaning, chart customization, and professional visualization using real-world crime data.
Deploy LayoutLMv3 for Document Classification Using Streamlit, Transformers, and HuggingFace Spaces
Learn to deploy LayoutLMv3 for document classification using Streamlit and HuggingFace Spaces. Covers model loading, input preparation, and classification process, resulting in a functional demo app.
Multivariate Time Series Forecasting with LSTM Using PyTorch and PyTorch Lightning - ML Tutorial
Learn to build and train an LSTM Deep Neural Network for Bitcoin price prediction using multivariate time series data, PyTorch, and PyTorch Lightning. Covers dataset creation, model building, and prediction analysis.
Amber - A Complete, ML-Based, Anomaly Detection Pipeline for Microcontrollers
Discover a complete ML-based anomaly detection pipeline for microcontrollers, featuring real-time sensor value processing, automatic hyperparameter tuning, and high-speed inference capabilities.
Wio Terminal TinyML Course - Anomaly Detection for Predictive Maintenance with Blynk IoT Platform
Learn to implement anomaly detection for predictive maintenance using Wio Terminal, TinyML, and Blynk IoT platform. Covers data collection, model training, testing, and integration with IoT systems.
TinyML Talks - On-Device Model Fine-Tuning for Industrial Anomaly Detection Applications
Explore on-device model fine-tuning for industrial anomaly detection, improving flexibility and adaptability of ML models while reducing infrastructure costs and operational efforts.
Advanced Anomaly Detection Made Easy
Advanced anomaly detection techniques for embedded ML, focusing on custom DSP blocks, feature importance, and threshold optimization. Learn to implement these methods for various IoT applications using Edge Impulse.
Keynote: Ross Girshick - Robustness Across the Data Abundance Spectrum
Explore robustness in computer vision across data abundance scenarios, addressing benchmarking challenges and efficient learning for diverse object categories using federated dataset design.
tinyML Trailblazers: Success Stories with Pete Warden
Explore tinyML success stories with Pete Warden, discussing game-changing technologies, innovations, and future visions in the field of machine learning on tiny devices.
Market Opportunities for Edge AI
Explore market opportunities for edge ML with industry experts, discussing growth potential, future trends, and promising technologies in industrial applications, smart buildings, and IoT.
Excel Tutorial - Beginner to Advanced
Comprehensive Excel training covering basics to advanced topics, including formulas, functions, data analysis, and dynamic arrays. Hands-on exercises reinforce learning for all skill levels.
Choosing Indexes for Similarity Search - Faiss in Python
Explore Faiss indexes for efficient similarity search, comparing Flat, LSH, HNSW, and IVF to optimize performance in large-scale datasets. Learn to choose and implement the best index for your needs.
FAISS - Introduction to Similarity Search
Explore efficient similarity search with Facebook AI Similarity Search (FAISS). Learn implementation, options, and how FAISS enhances semantic search speed.
Full Data Science Mock Interview Featuring Kylie Ying
Comprehensive mock data science interview covering bot detection on social media, featuring behavioral questions, feature selection, model implementation, dataset creation, and technical details.
How to Build Your Own Speech-to-Text Transcription App in Python Using AssemblyAI and Streamlit
Learn to build a Speech-to-Text Transcription App using AssemblyAI API and Streamlit. Create a command-line tool and web app to transcribe YouTube videos with Python.
Weighted Gene Co-expression Network Analysis - Step-by-Step Tutorial - Part 1
Learn step-by-step Weighted Gene Co-expression Network Analysis (WGCNA) for RNA-Seq data, covering data manipulation, outlier detection, normalization, module identification, and visualization techniques.
Integrate Single-Cell RNA-Seq Datasets in R Using Seurat - Detailed Seurat Workflow Tutorial
Comprehensive tutorial on integrating single-cell RNA-Seq datasets using Seurat in R, covering data merging, batch effect correction, and visualization techniques for improved analysis.
Facebook's Toolkit for Safety and Security - F8 2019
Explore Facebook's systematic approach to balancing user expression with safety and inclusivity, featuring design principles and strategies for creating secure online communities.
RocksDB Advanced Features and Optimizations - Lightning Talks
Lightning talks on RocksDB features: Lua compaction filters, read cache, statistics, iterator-assisted inserts, large value support, bulk loading, and more. Insights into performance improvements and advanced functionalities.
Partner Innovation on Facebook Ads and Messaging Platform - F8 2019
Explore innovative partner solutions for Facebook's ads and messaging platform, featuring insights on commerce, creative, ad tech, and SMB strategies to enhance advertiser success.