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Machine Learning: Origins, Developments and Implications
Discipline: Risk Management
First published:
ISBN: 978-1-78272-445-2
Machine Learning: Origins, Developments and Implications is an indispensable resource for anyone seeking a comprehensive understanding of the AI revolution. Terry Benzschawel’s insightful exploration of machine learning’s history, mechanisms, and societal implications equips readers with the knowledge needed to navigate this transformative era. Whether you’re a student, professional, or enthusiast, this book offers a compelling journey through the intricacies of AI that will leave you enlightened and inspired.
Contents
Preface
Introduction: human-machine entanglement
Machine learning: origins
Useful tools
Decision trees
Introduction to neural networks
Back-propagation
Regularisation
Optimisation
Building neural networks
Early applications of machine learning
Interpreting neural network decisions
Predicting corporate bond returns
Deep learning networks
Applications of deep learning networks
Machine intelligence
Consciousness
The future and its challenges
Artificial intelligence and the military
Final thoughts
Appendix
Epilogue
Acknowledgements