Title: TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning, Author: Bharath Ramsundar
Title: Self-Organizing Maps, Author: Teuvo Kohonen
Title: Evolutionary Deep Learning: Genetic algorithms and neural networks, Author: Micheal Lanham
Title: Inside Deep Learning: Math, Algorithms, Models, Author: Edward Raff
Title: Transformers for Machine Learning: A Deep Dive, Author: Uday Kamath
Title: Machine Learning with R, the tidyverse, and mlr, Author: Hefin I. Rhys
Title: Mastering PyTorch - Second Edition: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond, Author: Ashish Ranjan Jha
Title: Artificial Life: A Report from the Frontier Where Computers Meet Biology, Author: Steven Levy
Title: Bayesian Learning for Neural Networks, Author: Radford M. Neal
Title: Neural Network Learning: Theoretical Foundations, Author: Martin Anthony
Title: AI for Finance, Author: Edward P. K. Tsang
Title: An Introduction to Universal Artificial Intelligence, Author: Marcus Hutter
Title: Managing Machine Learning Projects: From design to deployment, Author: Simon Thompson
Title: Recurrent Neural Networks: Concepts and Applications, Author: Amit Kumar Tyagi
Title: Bayesian Networks and Decision Graphs, Author: Thomas Dyhre Nielsen
Title: Mobile Robot Localization and Map Building: A Multisensor Fusion Approach, Author: Jose A. Castellanos
Title: Inside Apple's Artificial Intelligence: Innovation, Privacy and the Future, Author: Randall Malig
Title: Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs, Author: Ben Auffarth
Title: Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python, Author: Mugesh S
Title: Introduction to TinyML, Author: Rohit Sharma

Pagination Links