Apress Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R

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Python Machine Learning By Example: The easiest way to get into machine learning

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Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python

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Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing)

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Machine Learning Made Visual with Python

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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

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Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples

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Applied Machine Learning: Using Machine Learning to Solve Business Problems

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Mastering Predictive Analytics with Python: Exploit the power of data in your business by building advanced predictive modeling applications with Python

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Deep Learning with R

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Production-Ready Applied Deep Learning: Learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks

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Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition

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Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning

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Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform

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Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x, 2nd Edition

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Applying Data Science: How to Create Value with Artificial Intelligence

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Deep Learning: Practical Neural Networks with Java: Build and run intelligent applications by leveraging key Java machine learning libraries

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Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms

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Docker on Windows: From 101 to production with Docker on Windows, 2nd Edition

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Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications

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Machine Learning for Credit Risk with Python: A Practical Guide to Default Prediction, Credit Scoring, Model Explainability, and Portfolio Risk Analysis

Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 hours

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