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free-artificial-intelligence-resources
[Artificial Intelligence Free Resources] This repository collects 48 of free resources for Artificial Intelligence. 🧠Embark on your Artificial Intelligence journey with GetVM's AI Explorer! This repository is your gateway to cutting-edge AI technologies, featuring a rich collection of free resou...
https://github.com/getvmio/free-artificial-intelligence-resources
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Resources
- Artificial Intelligence - on programming assignments and insights from experienced instructors. |
- Artificial Intelligence: Principles & Techniques - on projects and cutting-edge research opportunities. |
- Introduction to Artificial Intelligence
- Introduction to Artificial Intelligence - on programming assignments and real-world applications. |
- Introduction to TensorFlow for AI, Machine Learning & Deep Learning - on experience in building neural networks, training them for computer vision, and understanding the use of convolutions to improve model performance. |
- The Society of Mind
- Advanced Artificial Intelligence - edge topics in AI, including Watson, human computation, deep learning, and the future of self-driving cars. Ideal for students and professionals seeking the latest AI advancements. |
- Computer Vision - on projects. Gain practical experience in implementing cutting-edge algorithms for real-world applications. |
- Artificial Intelligence
- MIT's Artificial Intelligence Course
- Prompt Engineering Guide
- Guide to Prompt Engineering
- DALL·E 2 Prompt Book
- Graduate Artificial Intelligence - level artificial intelligence topics, including search, optimization, machine learning, and planning. Recommended for graduate students interested in a thorough introduction to AI. |
- Semantic Web Technologies
- Knowledge Engineering with Semantic Web Technologies
- Artificial Intelligence
- Artificial Intelligence
- Artificial Intelligence: Knowledge Representation & Reasoning - depth course on knowledge representation and reasoning techniques from IIT Madras experts. |
- Deep Generative Models I - based models. Gain hands-on experience and insights into the latest research in this rapidly evolving field. |
- Intro to Artificial Intelligence - on projects, and experienced instructors from Udacity. Ideal for students, professionals, and AI enthusiasts. |
- Artificial Intelligence for Robotics - on projects and expert-led instruction from Udacity. |
- Applications of Artificial Intelligence - on projects and presentations for practical application. |
- Graduate Course in Artificial Intelligence - on experience with AI algorithms. |
- Deep Learning Applications
- Introduction to Artificial Intelligence - on projects and exposure to cutting-edge AI research. |
- Introduction to Artificial Intelligence - on experience with cutting-edge AI algorithms and applications. |
- Artificial Intelligence - on experience with algorithms, and insights into the ethical implications of Artificial Intelligence. |
- Deep Learning for Artificial Intelligence - world applications in AI, offered by Universitat Politècnica de Catalunya (UPC) in Barcelona. |
- 10-601 Machine Learning
- Introduction to Machine Learning
- Machine Learning
- MIT 6.036 - on programming assignments and accessible for students with computer science and mathematics background. |
- Undergraduate Machine Learning at UBC 2012 - level machine learning course taught by renowned expert Nando de Freitas at the University of British Columbia in 2012. Covers fundamental concepts and techniques. |
- Machine Learning
- Stanford CS229M: Machine Learning Theory
- Probabilistic Graphical Models
- Reinforcement Learning
- Introduction to Machine Learning
- Reinforcement Learning
- Introduction to Reinforcement Learning - on exercises using OpenAI Gym. |
- Machine Learning Course - Champaign. |
- Machine Learning Crash Course 2015
- Machine Learning and Adaptive Intelligence
- Regularization Methods for Machine Learning 2016 - dimensional learning problems. Suitable for those interested in the latest developments in machine learning and its practical applications. |
- Cognitive Robotics - on programming experience and a strong foundation in this rapidly evolving field. |
- Advanced Robotics - edge robotics techniques, including probabilistic methods, mapping, localization, and optimal control. Suitable for graduate students and advanced undergraduates. |
- Introduction to AI and Programming - drive robots, processing sensor data, and implementing pathfinding with machine learning. |
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- Free Rust Resources
- Free Networking Resources
- Free Haskell Resources
- Free Software Development Resources
- Free Data Science Resources
- Free Git Resources
- Free Game Development Resources
- Free TensorFlow Resources
- Free Distributed Systems Resources
- Free Embedded Systems Resources
- Free DevOps Resources
- Free Docker Resources
- Free Robotics Resources
- Free Computer Vision Resources
- Free Deep Learning Resources
- Free Cloud Computing Resources
- Free Go Resources
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- Free Ruby Resources
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