AI & Robotic
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Machine Learning: Artificial Intelligence Decision Making with Minimax
Teach computers how to make decisions and play games with the Minimax Algorithm!
Machine Learning: Artificial Intelligence Decision Making with Minimax
Teach computers how to make decisions and play games with the Minimax Algorithm!
Machine Learning: Clustering with K-Means
Level up your machine learning skills by using unsupervised learning to find patterns hidden in data.
Machine Learning: Introduction with Regression
Get started with machine learning and learn how to build, implement, and evaluate linear regression models.
Machine Learning: K-Nearest Neighbors
Sharpen your machine learning skills by learning how to prepare, implement, and assess the K-Nearest Neighbors algorithm.
Machine Learning: Logistic Regression
Predict the probability that a datapoint belongs to a given class with Logistic Regression.
Machine Learning: Perceptrons
Level up your machine learning skills by learning how to build perceptrons: the foundations of neural networks.
Machine Learning: Perceptrons
Level up your machine learning skills by learning how to build perceptrons: the foundations of neural networks.
Machine Learning: Random Forests & Decision Trees
Learn how to build decision trees and then build those trees into random forests.
Machine Learning/AI Engineer
Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.
Machine Learning/AI Engineer
Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.
Machine Teaching for Autonomous AI
In this path, you'll learn to design and implement a new AI paradigm called Machine Teaching for Autonomous AI. Machine Teaching uses the knowledge of subject matter experts to teach AI. Machine Teaching integrates known control methods, for stable control, Machine Learning, for advance perception, and Deep Reinforcement Learning, for learning strategies and human-like decision making. The deployment in industrial processes without disruption and providing real business value is considered from its design. Machine Teaching for Autonomous AI stores expert operators' skill set, and it helps companies achieve new levels of optimization for competitiveness, profitability, and sustainability. The hands-on development of Autonomous solutions will be taught using the Microsoft Project Bonsai Platform, a low-code platform where Machine Teaching is used to the implementation, training, and validation of Bonsai brains.