Springer Essentials of Python for Artificial Intelligence and Machine Learning (Synthesis Lectures on Engineering, Science, and Technology)

Python Machine Learning Essentials (Programming, Data Analysis, and Machine Learning)

Programming with Python for Engineers

Springer

Online Machine Learning: A Practical Guide with Examples in Python (Machine Learning: Foundations, Methodologies, and Applications)

Springer

Neural Networks and Learning Algorithms in MATLAB (Synthesis Lectures on Intelligent Technologies)

Tribology and Surface Engineering (Mechanical Engineering Essentials with Python)

Fluid Mechanics and Hydraulic Systems (Mechanical Engineering Essentials with Python)

Computing in Intelligent Transportation Systems (EAI/Springer Innovations in Communication and Computing)

AI-Driven Learning and Engagement in Higher Education (Advances in Higher Education and Professional Development)

Information Science Reference

Acoustics and Vibrations (Mechanical Engineering Essentials with Python)

Phase Space Analysis and Thermodynamic Optimization Algorithms With CUDA (Mechanical Engineering Essentials with Python)

Electronic Structure of Semiconductor Interfaces (Synthesis Lectures on Engineering, Science, and Technology)

INTELIGENCIA ARTIFICIAL - GUÍA ESENCIAL (Introduction to Artificial Intelligence)

Data Mining and Market Intelligence: Implications for Decision Making (Synthesis Lectures on Engineering, Science, and Technology)

Springer

Mastering AI in Java: From Machine Learning to Smart Microservices

Educational Data Science: Essentials, Approaches, and Tendencies: Proactive Education based on Empirical Big Data Evidence (Big Data Management)

Educational Data Science: Essentials, Approaches, and Tendencies: Proactive Education based on Empirical Big Data Evidence (Big Data Management)

Software Engineering and Data Science

AI Predictive Techniques: Discovering Data Through Machine Learning and Deep Learning

Maschinelles Lernen: Die Grundlagen

Springer

Introduction to Applications of Modular Forms: Computational Aspects (Synthesis Lectures on Mathematics & Statistics)

Artificial Neural Networks and Evolutionary Computation in Remote Sensing

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Explainable Machine Learning in Medicine (Synthesis Lectures on Engineering, Science, and Technology)

Springer

Emerging ICT Technologies and Cybersecurity: From AI and ML to Other Futuristic Technologies

Springer