Title: Artificial Intelligence: A Systems Approach from Architecture Principles to Deployment, Author: David R. Martinez
Title: Math and Architectures of Deep Learning, Author: Krishnendu Chaudhury
Title: Digital Transformation in Healthcare 5.0: Volume 2: Metaverse, Nanorobots and Machine Learning, Author: Rishabha Malviya
Title: Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics, Author: George Mount
Title: Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI, Author: Sebastian Raschka
Title: Foundations of Computer Vision, Author: Antonio Torralba
Title: Graph Algorithms for Data Science: With examples in Neo4j, Author: Tomaz Bratanic
Title: Distributed Machine Learning Patterns, Author: Yuan Tang
Title: Bayesian Optimization in Action, Author: Quan Nguyen
Explore Series
Title: The Art of Machine Learning: A Hands-On Guide to Machine Learning with R, Author: Norman Matloff
Title: Fairness and Machine Learning: Limitations and Opportunities, Author: Solon Barocas
Title: Evolutionary Deep Learning: Genetic algorithms and neural networks, Author: Micheal Lanham
Title: Designing Deep Learning Systems: A software engineer's guide, Author: Chi Wang
Title: Digital Twins: Internet of Things, Machine Learning, and Smart Manufacturing, Author: Yogini Borole
Title: The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R, Author: Colleen M. Farrelly
Title: Probabilistic Machine Learning: Advanced Topics, Author: Kevin P. Murphy
Title: Managing Machine Learning Projects: From design to deployment, Author: Simon Thompson
Title: Ensemble Methods for Machine Learning, Author: Gautam Kunapuli
Title: Distributional Reinforcement Learning, Author: Marc G. Bellemare
Title: Privacy-Preserving Machine Learning, Author: J. Morris Chang

Pagination Links