Databricks Lakehouse Platform - Governance and Security Fundamentals
Learn fundamentals of governance and security for cloud data platforms, covering identity management, private links, access monitoring, cost control, and policy enforcement for workspaces.
Efficient Query Processing for Unstructured Data Using Machine Learning
Explore efficient query processing techniques for unstructured data using machine learning, including proxy scores and clustering methods to accelerate analysis and reduce costs.
MLflow Model Serving - Methods and Best Practices
Explore MLflow model serving techniques, including batch and real-time scoring, open-source and Databricks-managed options, with emphasis on new production-ready model serving features.
Monitoring ML Models, IoT Data, and Quality Checks on Delta Lake - Quby's Approach
Discover how Quby monitors IoT data, ML models, and data quality using Databricks. Learn about Delta Lake, MLflow, and Slack integration for efficient data processing and model performance tracking.
Early Stopping and Encoding a Feature Vector for Deep Neural Networks
Learn to implement early stopping, encode feature vectors, and use validation sets in Keras neural networks for improved deep learning model performance and efficiency.
Installing Miniforge and Anaconda/Miniconda Side-by-Side on Mac M1 Monterey
Learn to install and run Anaconda and Miniforge simultaneously on Mac M1, including TensorFlow and Keras setup, with step-by-step guidance and troubleshooting tips.
TensorFlow 2.0 GPU, Keras, and Python 3.7 Installation Guide for Windows 10 - 2020 Update
Comprehensive guide for setting up TensorFlow 2.0 with GPU support on Windows 10, covering installation of necessary drivers, CUDA, cuDNN, and Anaconda environment configuration.
What Information Dynamics Can Tell Us About Brains
Explore information dynamics in complex systems, focusing on intrinsic computation, information transfer, and applications in neuroscience and network analysis.
Deep Learning - Joan Bruna NYU
Explore deep learning concepts, including lazy regime, relative scale, and practical applications in this comprehensive lecture by Joan Bruna from NYU.
Deep Learning II - Joan Bruna NYU
Explore advanced deep learning concepts including symmetry, transformations, and geometric stability in neural networks with NYU professor Joan Bruna.
Parallel Approximate Undirected Shortest Paths Via Low Hop Emulators
Explore parallel algorithms for approximating undirected shortest paths using low hop emulators. Learn about innovative techniques and their applications in graph theory.
Natural Language Processing - Yoav Artzi - Cornell University
Explore natural language instruction following for robots and collaborative scenarios, featuring new datasets, interpretable models, and learning methods combining supervised and reinforcement approaches.
Cyber & Data - Classification Metrics and ML
Explore classification metrics, ROC curves, SVM, and machine learning examples to enhance your understanding of data analysis and cybersecurity concepts.
End to End ML Project With Deployment - Project Problem Statement, EDA and Model Training
Comprehensive guide to building and deploying a machine learning project, covering problem definition, exploratory data analysis, feature engineering, and model training.
TinyML - Using Machine Learning on Microcontrollers to Recognize Speech
Learn to implement speech recognition on microcontrollers using TinyML. Train a neural network, convert it to TensorFlow Lite, and deploy it on an ARM board for real-time wake word detection.
Arduino with Python - Graphing and Plotting Live Data from Arduino with Matplotlib
Learn to graph real-time Arduino sensor data using Python and Matplotlib. Master data streaming, processing, and visualization techniques for temperature and pressure readings from a BMP180 sensor.
Arduino with Python - Simple Introduction to Matplotlib
Learn to create basic plots and graphs using Matplotlib in Python, including data visualization, customization, and array generation techniques.
Arduino With Python - Installing Maptplotlib for Graphing and Charting Data
Learn to install and use Matplotlib for powerful data visualization in Python, including arrays, axes, titles, and various plot styles for effective graphing and charting.
Axis IMU - Passing Data From Arduino to Python
Learn to transmit data from Arduino to Python, enabling advanced 3D visualizations and sophisticated data processing for IMU sensors. Explore code implementation and data handling techniques.
Wio Terminal TinyML Weather Prediction with TensorFlow Lite and LVGL GUI - Course 4
Create an intelligent meteostation using Wio Terminal and TensorFlow Lite for Microcontrollers to predict weather and precipitation based on local environmental sensor data, with LVGL GUI integration.
Wio Terminal TinyML Course - People Counting and Azure IoT Central Integration - Part 3
Learn to implement people counting using TinyML on Wio Terminal, integrating ultrasonic sensors and Azure IoT Central for real-time monitoring and data visualization.