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Responsible Graph Neural Networks

MultiSensor and MultiTemporal Remote Sensing

Data Science Concepts and Techniques with Applications

Graph Data Science For Dummies, 2nd Neo4j Special Edition

Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach

Fun with Machine Learning: Simplify the Data Science process by automating repetitive and complex tasks using AutoML

Working with Data in Public Health: A Practical Pathway with R

Data Fabric and Data Mesh Approaches with AI

Streaming Data Mesh (8th Early Release)

Mastering Data Analysis with Python: A Comprehensive Guide to NumPy, Pandas, and Matplotlib

AI Factory: Theories, Applications and Case Studies

Spatial Data Science: With Applications in R

Visual Analytics Fundamentals: Creating Compelling Data Narratives with Tableau (Rough Cut)

telligent Image and Video Analytics: Clustering and Classification Applications

Exploring Deepfakes: Deploy powerful AI techniques for face replacement and more with this comprehensive guide

A Practical Guide to Quantum Machine Learning and Quantum Optimization: Hands-on Approach to Modern Quantum Algorithms

Computer Vision in Advanced Control Systems-5 : Advanced Decisions in Technical and Medical Applications

The Art of Asking ChatGPT for High-Quality Answers: A Complete Guide to Prompt Engineering Techniques

R for Data Science

Bayesian Optimization : Theory and Practice Using Python

Neural Machines: A Defense of Non-Representationalism in Cognitive Neuroscience

Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas

Machine Learning: Concepts, Techniques and Applications

Python Machine Learning Projects: Learn how to build Machine Learning projects from scratch

Model-Based Clustering, Classification, and Density Estimation Using mclust in R

Python for Chemistry: An introduction to Python algorithms, Simulations, and Programing for Chemistry

Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

Explainable Artificial Intelligence (XAI) in Manufacturing: Methodology, Tools, and Applications

Mathematical Foundations of Data Science

Machine Learning Algorithms in Depth (MEAP V07)

Computer Vision: Statistical Models for Marr's Paradigm

Hands-On Generative AI with Transformers and Diffusion Models (First Early Release)

Computer Vision: Statistical Models for Marr's Paradigm

Learning Data Science: Programming and Statistics Fundamentals Using Python (Sixth Early Release)

Computational Statistical Methodologies and Modeling for Artificial Intelligenc

Mathematical Foundations of Data Science

Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications

The 9 Pitfalls of Data Science

Metaheuristics for Machine Learning: New Advances and Tools

Data Science in Applications

80 Ways to Use ChatGPT in the Classroom: Using AI to Enhance Teaching and Learning

Frontiers of Artificial Intelligence in Medical Imaging

Diagnosis of Neurological Disorders Based on Deep Learning Techniques

Introduction to Machine Learning with Python

OpenAI GPT For Python Developers: The art and science of developing intelligent apps with OpenAI GPT-3, DALL·E 2, CLIP, and Whisper. A comprehensive and example-rich guide suitable for learners of all levels

Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics

Explainable Deep Learning AI: Methods and Challenges

Future Health Scenarios: AI and Digital Technologies in Global Healthcare Systems

Generative Adversarial Networks and Deep Learning: Theory and Applications

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, 2nd Edition (Seventh Early Release)

Hamiltonian Monte Carlo Methods in Machine Learning

Face Detection And Image Processing In Python: Computer Vision In Python

Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Dat

Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence

AI in Clinical Medicine: A Practical Guide for Healthcare Professionals

Managing Datasets and Models

The AI Product Manager's Handbook: Develop a product that takes advantage of machine learning to solve AI problems

Machine Learning and Mechanics Based Soft Computing Applications

Smart Computer Vision

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision: Techniques and Use Cases

Machine Learning Guide for Oil and Gas Using Python

Deep Learning for Crack-Like Object Detection

Data Science, Analytics and Machine Learning with R

Scala for Machine Learning

Artificial Intelligence and Machine Learning in Smart City Planning

Analysis and Application of Natural Language and Speech Processing

Convergence of Cloud with AI for Big Data Analytics : Foundations and Innovation

Data Mining and Predictive Analytics for Business Decisions

Big Data for Big Decisions: Building a Data-Driven Organization

The Kaggle Book: Data analysis and machine learning for competitive data science

Data Wrangling with R: Load, explore, transform and visualize data for modeling with tidyverse libraries

Introduction To Conformal Prediction With Python : A Short Guide For Quantifying Uncertainty Of Machine Learning Models

Applications of Machine Learning and Deep Learning on Biological Data

Machine Intelligence, Big Data Analytics, and IoT in Image Processing: Practical Applications

Machine Learning under Resource Constraints

Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner

Learning Ray: Flexible Distributed Python for Machine Learning (Final Release)

GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API

Python Data Analysis: Perform data collection, data processing, wrangling, visualization, model building using Python

Machine Learning for High-Risk Applications: Techniques for Responsible AI (11th Early Release)

Computational Intelligence in Medical Decision Making and Diagnosis: Techniques and Applications

Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python

Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library

PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models, 2nd Edition

Computational Techniques for Text Summarization based on Cognitive Intelligenc

Natural Language Processing Practical using Transformers with Python

Training Data for Machine Learning: Human Supervision from Annotation to Data Science (Seventh release)

Deep Learning Research Applications for Natural Language Processing

Visual Question Answering: From Theory to Application

Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox

Optimization Algorithms for Distributed Machine Learning

Algorithms, Humans, and Interactions: How Do Algorithms Interact with People? Designing Meaningful AI Experiences

An Introduction to Audio Content Analysis: Music Information Retrieval Tasks and Applications

Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python

Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python

Speech Recognition Technology and Applications

Nevrale nettverk, fuzzy logikk og genetiske algoritmer

Multimedia Forensics

All About Regular Expressions