Data Science
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Springer
Smart Healthcare & ML: AI in Medical Innovation (2024)
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Expert Training
ML for Decision Makers: AI-Driven Business Strategies (2024)
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No Starch Press
The Shape of Data: Geometry-Based ML & Data Analysis in R (2023)
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O'Reilly Media
Architecting Data & ML Platforms: AI Innovation in the Cloud (2023)
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BPB Publications
ML for Education: AI-Powered Learning & Teaching (2023)
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No Starch Press
Machine Learning Q&A: 30 Essential AI Questions Answered (2024)
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Apress
ML for Auditors: AI-Powered Fraud Investigation (2022)
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The MIT Press
Distributional Reinforcement Learning: Adaptive AI Models (2023)
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Apress
Google Cloud for Data Science: ML & Big Data Crash Course (2023)
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Expert Training
AI & ML: Emerging Technologies & Intelligent Systems
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Orange Education Pvt Ltd
Ultimate ML with Scikit-Learn: Python AI Mastery (2024)
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AclerPress
Secure Data Mining: AI & Big Data Security Solutions (2022)
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Apress
ML & Biometrics: AI-Powered Identity Verification (2022)
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IGI Global
Modeling & Optimizing Signals with ML: Advanced Techniques
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Packt Publishing
Deep Learning on Graphs: Specialized AI Architectures (2024)
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Wiley
Optimization for ML: Theory & Applications Guide (2023)
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Springer
Data Mining & Analytics in Healthcare: AI & Big Data (2023)
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Chapman and Hall/CRC
Image Processing & ML Vol 1: AI for Visual Data (2024)
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Expert Training
ML in Medical Imaging & Computer Vision: Healthcare AI
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Expert Training
AI-Powered E-commerce: How ML Transforms Online Shopping (2024)
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Expert Training
Financial Machina: Python ML for Finance & Investing (2024)
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Addison-Wesley Professional
ML with Python for Everyone: Data & Analytics Series (2019)
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Wiley
Machine Learning For Dummies: AI & Data Science Essentials
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Packt Publishing
AutoKeras ML: Deep Learning Made Easy with Python (2021)
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Apress
ML for Decision Makers: AI & Cognitive Computing Strategies (2024)
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CRC Press
Intro to Python: Optimization, Image & Video Processing, ML (2024)
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Springer
ML for Cyber-Physical Systems: ML4CPS 2020 Selected Papers
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Springer
Advances in Graph Neural Networks: AI & Data Science (2022)
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Microsoft Press
Exam Ref DP-900: Microsoft Azure Data Fundamentals (2024)
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Chapman and Hall/CRC
Statistical Prediction & ML: Data Science Applications (2024)
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Springer
Math Foundations for ML in Science: Key Concepts Explained (2024)
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Springer Vieweg
Online Machine Learning: Praxisorientierte Einführung (2024)
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Elsevier
Mobility Data Mining Vol. 2: Analytics & Prediction (2023)
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Springer
ML in Agriculture: AI for Statistical Data Evaluation (2024)
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Expert Training
ML for Emotion Analysis in Python: AI Sentiment Detection (2023)
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Packt Publishing
Privacy-Preserving ML: Secure & Ethical AI Pipelines (2024)
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Expert Training
ML Evaluation: Ensuring Reliable & Responsible AI Models (2024)
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Springer
E-commerce Big Data: Mining & Analytics for Online Success (2023)
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Expert Training
Building Data Science Apps with FastAPI: ML Deployment Guide (2023)
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Expert Training
Scalable Deep Learning on AWS: Develop, Train & Deploy AI (2025)
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Expert Training
Complex Decision Making with ML & Service-Oriented Computing (2023)
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Springer
Hyperparameter Tuning in R: ML & Deep Learning Guide (2023)
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Apress
Distributed ML with PySpark: Migrating from Pandas & Scikit (2023)
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Packt Publishing
Machine Learning with Scikit-Learn: Quick Start Guide
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Springer
Kernel Methods for ML: 100 Math & Python Exercises (2022)
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Springer
Automated Taxonomy Discovery: AI-Driven Data Exploration (2022)
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Expert Training
Machine Learning Essentials: Core Concepts & Techniques
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Springer
Robust Machine Learning: Distributed AI for Safe Systems (2024)
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Reactive Publishing
Data Science Essentials: Analysis, ML & Visualization (2024)
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O'Reilly Media
Learning Ray: Distributed Python for Machine Learning (2023)
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