This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesn't require any previous background in machine learning or deep learning. Interactive examples feature throughout, with runnable code and executable Jupyter notebooks available online. Publisher: Cambridge University Press Author(s): Alexander J. (Amazon Web Services) Smola Illustration(s): Worked examples or Exercises Number of pages: 574 Publication date: 2023 Dimensions: 202 x 254 x 26 Cover type: Paperback