Dry Bean Machine Learning Challenge
Design an automated bean sorter using real UCI Dry Bean measurements. Choose a limited set of computer-vision features, stay within a sensor budget, test unseen beans…
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Digital Technologies · Artificial Intelligence
Train and test a transparent machine-learning classifier using real Palmer Penguins measurements. Choose features, change k, inspect nearest neighbours and investigate misclassifications.
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Design an automated bean sorter using real UCI Dry Bean measurements. Choose a limited set of computer-vision features, stay within a sensor budget, test unseen beans…
Investigate how text and images are represented as binary data. Flip bits, edit pixel values, compare resolution and colour depth, test lossless compression and optimise…
Investigate common cyber threats and defensive controls using a visible network. Compare plaintext and encrypted traffic, identify phishing clues, test authentication…
Explore how data travels through the global Internet. Send data between locations, inspect the route through interconnected networks, break connections and observe how…
Build a message into a TCP/UDP segment, IP packet and Ethernet frame, then follow it through switches and routers to distinguish application data, ports, IP addresses,…
Experiment with TCP and UDP under changing packet loss, latency and jitter. Observe retransmission and on-time delivery, compare trials, and choose an appropriate…
Machine Learning Explorer is one of the licensed interactives in The Education Universe. This page describes it; teachers use it in lessons and classes with a licence or the free trial.