Title: Trust.: Responsible AI, Innovation, Privacy and Data Leadership, Author: Dominique Shelton Leipzig
Title: Data Independence: Reclaiming Privacy in an Era of Evolving Tech, Author: Wes Chaar
Title: Machine Learning for Hackers: Case Studies and Algorithms to Get You Started, Author: Drew Conway
Title: Green Internet of Things, Author: Bandana Mahapatra
Title: The Machine Learning Solutions Architect Handbook - Second Edition: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI, Author: David Ping
Title: Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making, Author: Subhajit Das
Title: TinyML Cookbook - Second Edition: Combine machine learning with microcontrollers to solve real-world problems, Author: Gian Marco Iodice
Title: Machine Learning and Artificial Intelligence: A Comprehensive Guide to Understanding and Implementing ML and AI (2023 Beginner Crash Course), Author: Carl Dennis
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: Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Author: Shreyas Subramanian
Title: Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, Author: Amita Kapoor
Title: Machine Translation and Translation Theory, Author: Omri Asscher
Title: Deep Learning for Crack-Like Object Detection, Author: Kaige Zhang
Title: Machine Learning Using TensorFlow Cookbook: Create powerful machine learning algorithms with TensorFlow, Author: Alexia Audevart
Title: Groups, Languages and Automata, Author: Derek F. Holt
Title: Groups, Languages and Automata, Author: Derek F. Holt
Title: Hands-On Music Generation with Magenta: Explore the role of deep learning in music generation and assisted music composition, Author: Alexandre DuBreuil
Title: Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, Author: Sudharsan Ravichandiran
Title: Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making, Author: Subhajit Das
Title: Neural Networks with Python, Author: Mei Wong

Pagination Links