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Price: 1887.00 RUB
Machine Learning for Absolute Beginners by Oliver Theobald is a practical, beginner-friendly introduction to machine learning—no programming experience required. This guide explains core ML algorithms with clear examples and hands-on exercises, covering cross-validation, ensemble modeling, grid search, feature engineering, one-hot encoding, and more. The author emphasizes that understanding classical statistics is essential for building intelligent machines, as algorithms based on it form the heart of machine learning. While coding is part of ML for data management, the material is accessible even without programming skills.
Inside, you’ll find: loading free datasets, data cleaning methods (including one-hot encoding, binning, handling missing data), data preparation for analysis, linear regression, clustering (including k-means), neural network basics, bias/variance for improving models, decision trees for classification, and your first ML model with Python.
About the Author: Oliver Theobald is a technical writer specializing in AI, fintech, and cloud computing. He has authored several books, including Python for Absolute Beginners, Machine Learning with Python for Beginners, and Data Analytics for Absolute Beginners.
Price: 1887.00 RUR
