Title: AI for Finance, Author: Edward P. K. Tsang
Title: Evolutionary Deep Learning: Genetic algorithms and neural networks, Author: Micheal Lanham
Title: Inside Deep Learning: Math, Algorithms, Models, Author: Edward Raff
Title: Bayesian Optimization in Action, Author: Quan Nguyen
Title: TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning, Author: Bharath Ramsundar
Title: The Harmonic Mind: From Neural Computation to Optimality-Theoretic Grammar Volume II: Linguistic and Philosophical Implications, Author: Paul Smolensky
Title: Self-Organizing Maps / Edition 3, Author: Teuvo Kohonen
Title: Elements of Causal Inference: Foundations and Learning Algorithms, Author: Jonas Peters
Title: Unsupervised Learning: Foundations of Neural Computation / Edition 1, Author: Geoffrey Hinton
Title: Activity Based Intelligence: Principles, Author: Patrick Biltgen
Title: Angular and Machine Learning Pocket Primer, Author: Oswald Campesato
Title: Machine Learning: From Theory to Applications: Cooperative Research at Siemens and MIT / Edition 1, Author: Stephen J. Hanson
Title: Deep Learning with JAX, Author: Grigory Sapunov
Title: Pulsed Neural Networks, Author: Wolfgang Maass
Title: Machine Learning with R, the tidyverse, and mlr, Author: Hefin I. Rhys
Title: Deep Learning and the Game of Go, Author: Max Pumperla
Title: Introduction to EEG- and Speech-Based Emotion Recognition, Author: Priyanka A. Abhang
Title: Common LISP Modules: Artificial Intelligence in the Era of Neural Networks and Chaos Theory / Edition 1, Author: Mark Watson
Title: Automatic Modulation Recognition of Communication Signals / Edition 1, Author: Elsayed Azzouz
Title: Neural Networks and Analog Computation: Beyond the Turing Limit / Edition 1, Author: Hava T. Siegelmann

Pagination Links