January 2025
Intermediate to advanced
328 pages
8h 28m
English
Content preview from Machine Learning Algorithms in Depth
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1 Machine learning algorithms
This chapter covers
- Types of ML algorithms
- The importance of learning algorithms from scratch
- An introduction to Bayesian inference and deep learning
- Software implementation of machine learning algorithms from scratch
An algorithm is a sequence of steps required to achieve a particular task. An algorithm takes an input, performs a sequence of operations, and produces a desired output. The simplest example of an algorithm is sorting, where given a list of integers, we perform a sequence of operations to produce a sorted list. A sorted list enables us to organize information better and find answers in our data.
Two popular questions to ask about an algorithm are how fast it runs (run-time complexity) and ...
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