1- 20 of 351 results
Title: Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, Author: Sebastian Raschka
Title: Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks, Author: Keith L. Downing
Title: I wonder if stella thinks about me: Tesla, Minions, & Artificial Intelligence, Author: Todd Lefor
Title: How AI Works: From Sorcery to Science, Author: Ronald T. Kneusel
Title: Practical C++ Machine Learning: Hands-on strategies for developing simple machine learning models using C++ data structures and libraries, Author: Anais Sutherland
Title: AI, Trump, China & The Weaponization of Robotics With 5G, Author: Cyrus Parsa
Title: Benevolent by Design: Six words to safeguard humanity, Author: David Shapiro
Title: WHY AI WILL NEVER BE US: THE LIMITS OF MACHINE INTELLIGENCE, Author: Imraan Arbab
Title: Answering the Unanswerable with ASI, Author: Alyssa Wee
Title: Statistics with Rust, Second Edition: Explore rust programming and its powerful crates across data science, machine learning and NLP projects, Author: Keiko Nakamura
Title: Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified, Author: Jeremy Kubica
Title: Pytorch Deep Learning by Example (2nd Edition), Author: Benjamin Young
Title: Statistics Essentials for Beginner in Data Science, Author: Jay Mishra
Title: Towards a New Era: Tracing the Future, Author: Can Bartu H.
Title: Handbook of Neural Network Signal Processing, Author: Yu Hen Hu
Title: Generative AI with Python and PyTorch: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications, Author: Joseph Babcock
Title: Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, Author: Ron Sun
Title: Python????(?2?): Chinese Edition, Author: Posts & Telecom Press
Title: Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (English Edition), Author: Mugesh S.
Title: Caffe2 Quick Start Guide: Modular and scalable deep learning made easy, Author: Ashwin Nanjappa

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