Loading...

QR Code

Natural language annotation for machine learning

Bibliographic Details
Main Author:	Pustejovsky, James
Format:	Printed Book
Language:	English
Published:	Banglore Shroff publishers & distributors 2017
Subjects:	Natural language processing Machine learning Artificial intelligence

Similar Items

Machine learning and security
by: Chio, Clarence
Published: (2018)

Machine learning methods for planning /
Published: (1993)

Machine learning: an artificial intelligence approach /
by: Michalski, R S
Published: (1983)

Machine Learning in Bioinformatics
by: Yan-Qing Zhang [ editor ]
Published: (2009)

Machine Learning in Bioinformatics
by: Zhang, Yan-Qing;Ed. Rajapakse, Jagath Chandana;Ed
Published: (2009)

Hands-on machine learning with Scikit-learn tensorflow: concepts, tools, and techniques to build intelligent systems
by: Geron, Aurelien
Published: (2018)

Fundamentals of deep learning : designing next-generation machine intelligence algorithms
by: Buduma, Nikhil and Locascio, Nicholas

Deep Learning in Natural Language Processing
Published: (2018)

Artifical Intelligence and Machine Learning
by: Vinod Chandra
Published: (2014)

Machine learning with TensorFlow For Dummies
by: Matthew Scarpino
Published: (2018)

Machine learning for computer and cyber security : principles, algorithms, and practices /
by: Gupta, Brij B
Published: (2019)

Machine Intelligence: recent advances
by: Sharma, Utpal., ed.by
Published: (2011)

Graph-based natural language processing and information retrievel /
by: Mihalcea, Rada
Published: (2011)

Machine intelligence 11: logic and the acquisition of knowledge /
by: Hayes, J E
Published: (1988)

Self adaptive systems for machine intelligence
by: He, Haibo
Published: (2011)

Into the heart of the mind : an American quest for artificial intelligence /
by: Rose, Frank
Published: (1984)

Artificial Intelligence and Natural Language Processing
Published: (1997)

Artificial intelligence and machine learning
by: Chandra, Vinoe S S
Published: (2014)

Machine learning
by: Mitchell, Tom M
Published: (2018)

Deep learning for the life sciences : applying deep learning to genomics, microscopy, drug discovery and more /
by: Ramsundar, Bharath, et al.
Published: (2019)

Hands-on unsupervised learning using Python : how to build applied machine learning solutions from unlabeled data /
by: Patel, Ankur A.

Hands-on reinforcement learning with Python : Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
by: Ravichandiran, Sudharsan
Published: (2018)

Fundamentals of deep learning : designing next-generation machine intelligence algorithms /
by: Buduma, Nikhil
Published: (2017)

Fundamentals of deep learning : designing next-generation machine intelligence algorithms /
by: Buduma, Nikhil
Published: (2017)

Introduction to machine learning /
by: Alpaydin, Ethem
Published: (2005)

Introduction to Machine Learning
by: Ethem Alpaydin
Published: (2018)

introduction to machine learning
by: Alpaydin, Ethem
Published: (2018)

Machine learning : a concise introduction /
by: Knox, Steven W.
Published: (2018)

Catalogue of artificial intelligence tools
by: Bundy, Alan [Ed.]
Published: (1984)

Machine Learning in Translation Corpora Processing
by: Wolk, Krzysztof
Published: (2019)

IoT, AI, and Blockchain for .NET: Building a Next-Generation Application from the Ground Up
by: Nishith Pathak
Published: (2018)

Mentality and machine
by: Gunderson, Keith
Published: (1985)

Machine ethics /
Published: (2011)

Natural language processing
by: Kumar,Ela
Published: (2011)

Industrial applications of machine learning /
by: Larrañaga, Pedro
Published: (2019)

Machine learning refined : foundations, algorithms, and applications /
by: Watt, Jeremy, et al.
Published: (2017)

Intelligent machines: myths and realities
by: De Silva, Clarence W.
Published: (2000)

Quest for Artificial intelligence a history of ideas and achievements
by: Nilsson, Nils J
Published: (2010)

Machine learning : an algorithmic perspective /
by: Marsland, Stephen
Published: (2009)

Machine learning : an algorithmic perspective /
by: Marsland, Stephen
Published: (2009)