Title: Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps, Author: Sandar Van Laan
Title: Write Great Code, Volume 1, 2nd Edition: Understanding the Machine, Author: Randall Hyde
Title: Machine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon Rekognition, Author: Abhishek Mishra
Title: AI Factory: Theories, Applications and Case Studies, Author: Ramin Karim
Title: Information and Randomness: An Algorithmic Perspective, Author: Cristian S. Calude
Title: Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch, Author: Maxime Labonne
Title: Trust.: Responsible AI, Innovation, Privacy and Data Leadership, Author: Dominique Shelton Leipzig
Title: Introduction to Formal Languages, Author: György E. Révész
Title: Deep Reinforcement Learning Hands-On - Third Edition: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF, Author: Maxim Lapan
Title: Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition), Author: Oliver Theobald
Title: Data Independence: Reclaiming Privacy in an Era of Evolving Tech, Author: Wes Chaar
Title: Python Machine Learning By Example - Fourth Edition: Unlock machine learning best practices with real-world use cases, Author: Yuxi (Hayden) Liu
Title: Machine Learning for iOS Developers, Author: Abhishek Mishra
Title: Algorithmic Information Theory, Author: Gregory. J. Chaitin
Title: Presumptive Meanings: The Theory of Generalized Conversational Implicature, Author: Stephen C. Levinson
Title: Modern Time Series Forecasting with Python - Second Edition: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas, Author: Manu Joseph
Title: Machine Learning: Theory and Practice, Author: Jugal Kalita
Title: Mathematics for Computer Graphics, Author: John Vince
Title: Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making, Author: Subhajit Das
Title: Probabilistic Foundations of Statistical Network Analysis, Author: Harry Crane

Pagination Links