Grokking machine learning

Book 2021

Discover powerful machine learning techniques you can understand and apply using only high school math! Put simply, machine learning is a set of techniques for data analysis based on algorithms that deliver better results as you give them more data. ML powers many cutting-edge technologies, such as recommendation systems, facial recognition software, smart speakers, and even self-driving cars. This unique book introduces the core concepts of m...

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Machine learning Study and teaching

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ISBN:

9781617295911
1617295914

Description:

xix, 489 pages : illustrations ; 24 cm

Contents:

1. What is machine learning? It is common sense, except done by a computer
2. Types of machine learning
3. Drawing a line close to our points : linear regression
4. Optimizing the training process : underfitting, overfitting, testing, and regularization
5. Using lines to split our points: the perception algorithm
6. A continuous approach to splitting points : logistic classifiers
7. How do you measure classification models? Accuracy and its friends
8. Using probability to its maximum : the naive Bayes model
9. Splitting data by asking questions : decision trees
10. Combining building blocks to gain more power : neural networks
11. Finding boundaries with style : support vector machines and the kernel method
12. Combining models to maximize results : ensemble learning
13. Putting it all in practice : a real-life example of data engineering and machine learning

LCCN:

2021289995

Control Number:

3007377

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