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Chapter Overview
Chapter 1: AudiobookHub Recommendation
Chapter 2: Machine learning can address major problems by analyzing data and then deriving an algorithm that best explains it.
Chapter 3: To prevent imagined patterns, learning algorithms must be constrained and validated for proper reliability.
Chapter 4: Rules based on deduction and decision trees can enable machines and algorithms to reason logically.
Chapter 5: Prevent strong algorithms from overfitting by keeping models open while constraining their underlying assumptions.
Chapter 6: Unsupervised learning excels at uncovering hidden structure and meaning within noisy raw data.
Chapter 7: No single algorithm is perfect, and a unifying master algorithm is needed to tackle the biggest problems today.
Chapter 8: In today’s business, securing the best algorithms and the best data is truly essential for success.
Chapter 9: In the future, you will carry a digital model of yourself to make life easier.
Description
Though you might not be aware of it, machine learning algorithms are already seeping into every aspect of human life, becoming more and more powerful as they continue to learn from an ever-increasing amount of data. The Master Algorithm (2016) provides a broad overview of what kind of algorithms are already out there, the problems they face, the solutions they can provide and how they’re going to revolutionize the future.
Who Should Listen
- Entrepreneurs who want to connect producers and customers
- Tech junkies interested in the next big technological evolution
- Anyone concerned about how their personal data is being used