What are some advanced machine learning books I should read?

What are some advanced machine learning books I should read?

Here are a few advanced machine learning books you might find interesting: 'Pattern Recognition and Machine Learning' by Christopher Bishop, 'Deep Learning' by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, and 'Bayesian Reasoning and Machine Learning' by David Barber.

Can you give me a brief overview of 'Deep Learning'?

Sure! 'Deep Learning' by Ian Goodfellow et al. covers the foundations of deep learning, including neural networks, optimization, and practical applications. It's a comprehensive resource for understanding the theory and practice of deep learning.

Are there any online resources or courses that complement these books?

Yes, platforms like Coursera and edX offer courses on machine learning and deep learning that align well with these books. Additionally, websites like Kaggle provide practical exercises and datasets to apply what you learn.

What should I focus on first if I'm new to machine learning?

If you're new, start with the basics of machine learning concepts and algorithms. Books like 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow' by Aurélien Géron are great for beginners.