Open this github Repo to follow along You can't learn EVERYTHING in ~2 hours, especially when it comes to Machine Learning! But you can learn enough to get excited and comfortable to keep working and ...

Breakout rooms and Office hours will NOT be recorded. Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

This week, we will build our supervised machine learning foundation. Data cleaning and Exploratory Data Analysis (EDA) might not seem glamorous, but the process is vital for guiding your real-world ...

Since the AI major was introduced in fall 2024 two courses, Introduction to AI and Linear Algebra with Machine Learning ...

Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recommend music and movies, ...

Note that it isn’t exactly trivial for us to work out the weights just by inspection alone. Many machine learning models allow some randomness in model training. Specifying a number for random_state ...

This course covers modern machine learning theory and techniques that can be applied to make informed data-driven decisions. Instead of manually analyzing data, machine learning offers a more ...