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Machine Learning with Core ML

Java Deep Learning Cookbook

Deep Reinforcement Learning with Python

Sudharsan Ravichandiran

Modern Computer Vision with PyTorch

V Kishore Ayyadevara, Yeshwanth Reddy

Transfer Learning through Embedding Spaces

Mohammad Rostami

LLM Engineer's Handbook

Paul Iusztin, Maxime Labonne

Neuron-Boundary Heterogeneous Graph Engines

NEXT-GENERATION COMPUTING

Dileep Kumar M, Sohit Agarwal, Vineet Mehan

n8n & MCP

Generative AI

Building AI Tools Without Coding Using Zapier, Notion AI, Make.com, and More

Federated AI for Real-World Business Scenarios

Dinesh C. Verma

Digital Twins and Simulation Technology

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

LLM Model Security

Mathematical Foundations for Deep Learning

Basic Artificial Intelligence Skills

Prasun Bhattacharjee

Machine Learning Fundamentals for App Developers

Alicia Lawrence

AI-Powered Productivity

Suhaan Franklin

Agentic AI

Deep Learning

Yoshua Bengio, Ian Goodfellow, Aaron Courville

Neural Networks

Statistical Physics of Spin Glasses and Information Processing

Hidetoshi Nishimori

Random Geometric Graphs

Statistical Physics of Spin Glasses and Information Processing

Hidetoshi Nishimori

Applied Neural Networks for Signal Processing

Fa-Long Luo, Rolf Unbehauen

Neural Networks for Pattern Recognition

Geoffrey Hinton

Fully Tuned Radial Basis Function Neural Networks for Flight Control

N. Sundararajan, P. Saratchandran, Yan Li

Spiking Neuron Models

Wulfram Gerstner, Werner M. Kistler

The Informational Complexity of Learning

System Synthesis with VHDL

Petru Eles, Krzysztof Kuchcinski, Zebo Peng

Future Directions for Intelligent Systems and Information Sciences

Industrial Applications of Soft Computing

Predictive Modular Neural Networks

Vassilios Petridis, Athanasios Kehagias

Dynamic Neural Field Theory for Motion Perception

Martin A. Giese

Bayesian Networks and Decision Graphs

Thomas Dyhre Nielsen, FINN VERNER JENSEN