What Is AI? Let the Computer Look at a Picture
Phase V begins! Meet Artificial Intelligence by using one — upload a photo and watch a ready-made AI guess what's in it, in just a few lines of Python.
A Taste of AI — use, teach, and train machine-learning models in Colab.
Phase V begins! Meet Artificial Intelligence by using one — upload a photo and watch a ready-made AI guess what's in it, in just a few lines of Python.
Type a sentence and watch an AI decide whether it sounds happy or sad. Meet sentiment analysis — and start spotting where AI gets things wrong.
Give an AI the start of a sentence and watch it keep going. Meet text generation — the same idea behind chatbots — and learn why it 'predicts' rather than 'thinks.'
Put all three AIs to the test with your own inputs, keep a log of the clever and the clueless, and start thinking about why AI makes the mistakes it does.
How does a computer 'learn'? The big idea behind all machine learning: instead of writing rules, you show it labeled examples and let it find the pattern.
Three lines of code, and the computer learns to tell penguin species apart from their measurements. Meet scikit-learn, fit, and predict.
Testing a model on the same examples it studied is cheating. Split your data into a study set and a test set, and measure how often the model is really right.
Put the whole machine-learning recipe together — load data, split it, train a model, check its accuracy, and make predictions on your own examples.
How can a computer 'see' an image? It can't — but it can read numbers. Discover that every picture is really a grid of brightness values, setting up image AI.
Teach a model to read handwritten digits. Same recipe as the penguins — but now the features are pixels, and your AI learns to recognize images.
A great score isn't the end. Look at the actual digits your AI got wrong, understand why, and try simple changes to push the accuracy higher.
The grand finale. Train your own model end to end, present how well it works, and have the most important conversation in AI: how to use it responsibly.