AnacondaCon 2018 Samuel Taylor. Machine learning is surrounded by so much hype it can seem like magic. Learn the math behind the magic in this whirlwind tour of machine learning. After spending a few minutes learning about machine learning theory, we'll jump right into practice with three different use cases: teaching a computer sign language (supervised learning); predicting hourly energy load in the state of Texas (time series/forecasting); and using machine learning to find your next job (recommender systems—content-based filtering). With each use case, we'll discover new techniques applicable in real-world machine learning problems.
