model.fit(X_train, y_train, epochs=5)
Artificial Intelligence (AI) is a rapidly growing field that has numerous applications in various industries. Python is a popular language used for AI programming due to its simplicity and extensive libraries. In this paper, we will cover the basics of AI programming with Python, from setting up the environment to advanced topics like machine learning, deep learning, and natural language processing. | Book | Focus | Where to get
| Book | Focus | Where to get | |------|-------|----------------| | "Automate the Boring Stuff with Python" (Al Sweigart) | Python basics + practical | Author gives free HTML/PDF under CC license | | "Python Data Science Handbook" (Jake VanderPlas) | NumPy, Pandas, Matplotlib, ML | O'Reilly's open edition on GitHub | | "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" (Aurélien Géron) | Not fully free, but is free on O'Reilly’s site | | " or "Happy."
I give you a CSV file of 10,000 customer service emails and ask you to classify them as "Angry," "Neutral," or "Happy." and natural language processing.