In the AI system, the training and inference are processes which are relatively independent, and they have different requirements about the computing ability.
These reusable topics include Bayesian deep learning, variational approximations,memoryless and amortised inference, and stochastic gradient estimation.
On-line textbook: Information Theory, Inference, and Learning Algorithms, by David MacKay- gives an entertaining and thorough introduction to Shannon theory, including two proofs of the noisy-channel coding theorem.
His AI-focused career spans many years of executive technology management and development at Apple, Kaidara,eGain, Inference Corporation and National Energy Services.
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