Amazon Machine Learning to Predict Responses
Explore machine learning and computer vision with Amazon tools to predict responses and develop AI algorithms. Learn about S.A.M. (Suspicious Activity Monitor) and its applications in predictive policing.
Easier AI Allows Everyone to Build Smart Apps
Discover how to leverage Microsoft's Cognitive Services to build smart apps with AI capabilities, including computer vision, language understanding, and speech recognition.
Building and Training Your Own Custom Image Recognition AI
Learn to build and train custom image recognition models using Cognitive Services, enabling identification of specific objects in photographs without extensive coding.
Beyond the Usual Suspects - Emerging Cognitive Services
Explore advanced Cognitive Services APIs beyond face and object detection. Discover innovative capabilities like speech authentication, gesture recognition, and event detection through demos and use cases.
What and Where? - Machine Learning for Geospatial Image Analysis
Explore machine learning techniques for geospatial image analysis, extracting valuable geographical information from aerial and satellite imagery using deep learning and convolutional neural networks.
Integrate Python and C++ with pybind11
Discover how to combine Python's rapid development with C++'s performance using pybind11. Learn to expose C++ libraries as Python modules for efficient hybrid solutions in data science and machine learning.
What I Talk About When I Talk About Cross Platform Development
Explore cross-platform development using the Salami Method, a system architecture that separates platform-specific code from core functionality for improved maintainability and portability.
Writing a Neural Net from Scratch
Learn to build a neural network for image recognition from scratch in C#, covering key concepts like gradient descent and backpropagation without complex math or external libraries.
Easier AI Allows Everyone to Build Smart Apps
Learn to leverage Microsoft cognitive services for AI-powered applications, including Computer Vision, Language Understanding, and Speech, without extensive data science expertise.
Deep Learning in the World of Little Ponies
Explore computer vision and image classification using deep learning techniques to identify "My Little Pony" characters, with hands-on examples in Keras and Python.
Easily Add Artificial Intelligence To Your Apps Using Machine Learning
Discover how to integrate AI into your apps using MLaaS, featuring live coding demonstrations of facial recognition and text sentiment analysis implementation.
AI on the Edge
Explore edge computing and AI for building intelligent offline apps. Learn about the AI Toolkit for Azure IoT Edge and create image classifiers using various techniques for offline deployment.
What's That Fruit
Explore image classification and object detection using Microsoft Cognitive Services, from cloud-based solutions to edge computing, with simplified explanations and practical code examples.
Deep Learning with PyTorch
Comprehensive introduction to deep learning using PyTorch, covering fundamentals, computer vision applications, and practical model creation for AI enthusiasts and developers.
Why Should You Care About Edge Computing
Explore edge computing's potential to revolutionize data collection and analytics, enabling new business opportunities through AI-powered devices and cloud integration.
A Practical Guide to Deep Learning
Practical introduction to computer vision and deep learning, covering neural network programming, training, and refinement techniques for future projects.
Deep Learning in the World of Little Ponies
Explore computer vision and deep neural networks to build custom image classifiers, with a fun twist using "My Little Pony" characters as examples.
Writing a Neural Net from Scratch
Learn to code a neural network for image recognition in C# from scratch, covering gradient descent, activation functions, and backpropagation without complex math or external libraries.
How to Steal an Election
Explore data science techniques for influencing populations and elections, covering prediction markets, segmentation, voter fraud, and psychological manipulation strategies.
The Hitchhiker's Guide to the Cloud
Explore major cloud providers' AI/ML APIs for text-to-speech, image classification, translation, and more. Compare AWS, GCP, and Azure to gain insights into their strengths and limitations.
Deep Learning in the World of Little Ponies
Explore computer vision and deep learning techniques to build custom image classifiers, using "My Little Pony" characters as an engaging example for practical application.