This level will introduce how to build games with Artificial Intelligence. We will learn how to use search algorithms to effectively come up with strategies to win the games. We will then use these algorithms to build intelligent bots for different games.
Kids will learn about natural language processing. We will discuss various concepts such as tokenization, stemming, and lemmatization to process text. We will then discuss how to build a Bag of Words model and use it to classify text. We will see how to use machine learning to analyze the sentiment of a given sentence. We will then discuss topic modeling and implement a system to identify topics in a given document.
They will learn how to build sequence learning models. We will learn how to handle time-series data in Pandas. We will understand how to slice time-series data and perform various operations on it. We will discuss how to extract various stats from time-series data on a rolling basis. We will learn about Hidden Markov Models and then implement a system to build those models. We will understand how to use Conditional Random Fields to analyze sequences of alphabets. We will discuss how to analyze stock market data using the techniques learned so far.
We will learn about speech recognition. We will discuss how to work with speech signals and understand how to visualize various audio signals. By utilizing various techniques to process speech signals, we will learn how to build a speech recognition system.
