Cursussen
6076 Cursussen
We Are the Guardians of Our Future
Explore the ethical implications of AI development and its potential societal impact, drawing parallels to dystopian scenarios from popular culture and literature.
Machine Learning - The Bare Math Behind Libraries
Explore the mathematical foundations of machine learning, from supervised to unsupervised learning techniques, to gain a deeper understanding of neural networks and their underlying processes.
An AI with an Agenda - How Our Cognitive Biases Leak Into Machine Learning
Explores how human cognitive biases can infiltrate AI and machine learning models, offering strategies to mitigate these issues and create more objective, ethical algorithms.
DevOps for Machine Learning
Explore DevOps principles for effective collaboration between data scientists and software engineers in machine learning projects, focusing on automated pipelines and best practices.
Drones, AI & IOT - What's All the Buzz About?
Explore real-world applications of drones, AI, and IoT in industry and government. Learn core use cases, implementation strategies, and potential pitfalls to avoid when adopting these emerging technologies.
Solving Diabetes with an Open Source Artificial Pancreas
Explore the development of open-source artificial pancreas systems for Type 1 diabetes management, including LoopKit and OpenAPS, with insights on components, architecture, and real-world application.
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.
How to Build a Social Network Entirely on Serverless
Discover how to leverage serverless technologies to build a scalable, high-performance social network, improving feature delivery and addressing various system challenges.
Neural Networks - A Primer
Explore neural networks' fundamentals, from biological inspiration to practical applications. Learn key concepts, mathematical foundations, and tools for developing machine learning solutions using neural networks.
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.
ML.NET for Developers Without Any AI Experience
Explore AI in .NET applications using ML.NET. Learn to build and train ML models for various tasks like detecting laughter, analyzing mood, and predicting code bugs, all with your existing .NET skills.
How Did Our DevOps Team Become Another Silo
Exploring how DevOps can evolve from a siloed team to an integrated discipline, improving software delivery and fostering collaboration across the organization.