In this ebook, you will learn:
Go step by step from the basics to advanced techniques and algorithms:
Section 1: Introducing Machine Learning - Learn the basics of machine learning, including supervised and unsupervised learning, choosing the right algorithm, and practical examples.
Section 2: Getting Started with Machine Learning - Step through the machine learning workflow using a health monitoring app as an example. The section covers accessing and loading data, preprocessing data, deriving features, and training and refining models.
Section 3: Applying Unsupervised Learning - Explore hard and soft clustering algorithms, and learn about common dimensionality-reduction techniques for improving model performance.
Section 4: Applying Supervised Learning - Explore classification and regression algorithms, and learn about techniques for model improvement, including feature selection, feature transformation, and hyperparameter tuning.
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