Artificial intelligence

Artificial intelligence for dummies : 2nd ed.
1. Introducing AI; 2. Defining the role of data; 3. Considering the use of algorithms; 4. Pioneering specialized hardware; 5. Seeing AI uses in computer applications; 6. Automating common processes; 7. Using AI the address medical needs; 8. Relying on AI to improve human interaction; 9. Performing ...
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Contents: Beliefs, knowledge, and models. What do beliefs do for us?. Where do beliefs come from?. Evaluating beliefs. In all probability. Reality and truth. The scientific method. Robot beliefs. Belief traps.
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Presenting to Introduction to deep learning. Conceptual foundations. Neural networks: the building blocks of deep learning. A brief history of deep learning. Convolutional and recurrent networks. Learning functions. The future of deep learning.
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The revenue acceleration rules
B2B is 45% of the economy, but no book has addressed just this area of B2B predictive marketing--all have looked more at the consumer end of the predictive space. This book will explore how using predictive marketing to support ABM initiatives in the B2B world can supercharge your demand waterfall ...
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Reinventing jobs : a 4-step approach for applying automation to work
Part 1. Optimizing work automation; Part 2. Redefining the organization, leadership, and workers.
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