Title: CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS: Theoretical and Practical Aspects, Author: Dan A Simovici
Title: Cognitive and Neural Modelling for Visual Information Representation and Memorization, Author: Limiao Deng
Title: Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines, Author: Yada Pruksachatkun
Title: Self-Adaptive Systems for Machine Intelligence, Author: Haibo He
Title: Genetic Algorithms for Pattern Recognition, Author: Sankar K. Pal
Title: Machine Learning Engineering in Action, Author: Ben Wilson
Title: Managing Machine Learning Projects: From design to deployment, Author: Simon Thompson
Title: Cloud Computing for Machine Learning and Cognitive Applications, Author: Kai Hwang
Title: Causal Inference for Data Science, Author: Aleix Ruiz de Villa Robert
Title: The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R, Author: Colleen M. Farrelly
Title: Machine Learning and Data Science Blueprints for Finance, Author: Hariom Tatsat
Title: Machine Learning Techniques for Space Weather, Author: Enrico Camporeale
Title: Deep Learning with JAX, Author: Grigory Sapunov
Title: Learning TensorFlow.js, Author: Gant Laborde
Title: Ensemble Methods for Machine Learning, Author: Gautam Kunapuli
Title: MACHINE LEARNING - A JOURNEY TO DEEP LEARNING: with Exercises and Answers, Author: Andreas Miroslaus Wichert
Title: Reliable Machine Learning: Applying SRE Principles to ML in Production, Author: Cathy Chen
Title: Super-Intelligent Machines, Author: Bill Hibbard
Title: Conversas com a Inteligencia Artificial: 111 Perguntas: Artificial Intelligence for Thinking Humans, Author: Ingrid Seabra
Title: Machine Learning con SageMaker: Guida per lavorare con i big data e diventare data scientist, Author: Julien Simon

Pagination Links