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Effective Machine Learning Teams : Best Practices for ML Practitioners

Healthcare big data analytics : computational optimization and cohesive approaches

An introduction to universal artificial intelligence

Demystifying deep learning : an introduction to the mathematics of neural networks

Neural networks

Principles of soft computing using Python programming : learn how to deploy soft computing models in real world applications

Fuzzy Cognitive Maps : Best Practices and Modern Methods

Accelerate model training with PyTorch 2.X : use powerful techniques to reduce the building time of machine learning models

Building Neural Networks from Scratch with Python

Building Neural Networks from Scratch with Python

Computational Intelligence for Supply Chains

Computational Intelligence for Supply Chains

Neural networks with model compression

Effective Machine Learning Teams: Best Practices for ML Practitioners

Deep Learning for Multimedia Processing Applications. Volume 2 Signal Processing and Pattern Recognition : Volume 2,

Deep Learning for Multimedia Processing Applications. Volume 1 Image Security and Intelligent Systems for Multimedia Processing : Volume 1,

Situation Assessment in Aviation: Bayesian Network and Fuzzy Logic-Based Approaches

Smart Green Energy Production

Artificial Intelligence of Things (AIoT): New Standards, Technologies and Communication Systems

New directions on hybrid intelligent systems based on neural networks, fuzzy logic, and optimization algorithms

Human-Centered AI: A Multidisciplinary Perspective for Policy-Makers, Auditors, and Users

Human-Centered AI: A Multidisciplinary Perspective for Policy-Makers, Auditors, and Users

Fuzzy rule-based inference : advances and applications in reasoning with approximate knowledge interpolation

A first course in fuzzy logic, fuzzy dynamical systems, and biomathematics : theory and applications

Java basics using ChatGPT/GPT-4

Building LLM Apps : Create Intelligent Apps and Agents with Large Language Models

Effective Machine Learning Teams: Best Practices for ML Practitioners

Deep Learning for Multimedia Processing Applications. Volume 1 Image Security and Intelligent Systems for Multimedia Processing : Volume 1,

Deep Learning for Multimedia Processing Applications. Volume 2 Signal Processing and Pattern Recognition : Volume 2,

Accelerate model training with PyTorch 2.X : use powerful techniques to reduce the building time of machine learning models

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