Search results
Results from the WOW.Com Content Network
Sharanya Manivannan of GQ India wrote "The Machine is Learning is a timely reminder of the stark human cost of tech’s unstoppable march" [2] and Percy Bharucha of Hindustan Times wrote "A novel whose characters are at the heart of the man-versus-machine debate".
The book outlines five approaches of machine learning: inductive reasoning, connectionism, evolutionary computation, Bayes' theorem and analogical modelling.The author explains these tribes to the reader by referring to more understandable processes of logic, connections made in the brain, natural selection, probability and similarity judgments.
Model-free RL algorithms can start from a blank policy candidate and achieve superhuman performance in many complex tasks, including Atari games, StarCraft and Go.Deep neural networks are responsible for recent artificial intelligence breakthroughs, and they can be combined with RL to create superhuman agents such as Google DeepMind's AlphaGo.
Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1] In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". [ 2 ]
A representative book on research into machine learning during the 1960s was Nilsson's book on Learning Machines, dealing mostly with machine learning for pattern classification. [15] Interest related to pattern recognition continued into the 1970s, as described by Duda and Hart in 1973. [16]
A Tsetlin machine is a form of learning automaton collective for learning patterns using propositional logic. Ole-Christoffer Granmo created [ 1 ] and gave the method its name after Michael Lvovitch Tsetlin , who invented the Tsetlin automaton [ 2 ] and worked on Tsetlin automata collectives and games. [ 3 ]
Ellen Ullman - Close to the Machine; Ellis Horowitz - Fundamentals of Computer Algorithms; Eric Raymond - The Art of Unix Programming; Gerald M. Weinberg - The Psychology of Computer Programming; James Gosling - The Java Programming Language; Joel Spolsky - The Best Software Writing I; Keith Curtis - After the Software Wars
Predictive learning is a machine learning (ML) technique where an artificial intelligence model is fed new data to develop an understanding of its environment, capabilities, and limitations. This technique finds application in many areas, including neuroscience , business , robotics , and computer vision .