StatQuest - the illustrated machine learning guide
German, Josh Starmer, 2023Product details
The book for the successful YouTube channel "StatQuest with Josh Starmer," which has over 800,000 subscribers.
Learn image by image: a fully illustrated guide to the most important machine learning concepts. From the basics of statistics to classification and linear regression, and advanced concepts like neural networks.
Machine learning is a powerful tool but can also seem incredibly complicated. This is where this book comes in. No matter how difficult a machine learning algorithm may be, this book breaks it down into small, easily digestible pieces that are simple to understand. Each concept is clearly illustrated, giving you a deeper understanding beyond just the formulas of how the individual methods work. The goal of this book is not to simplify the concepts. Instead, it provides you with all the necessary explanations in an easily understandable way to build a deeper understanding of machine learning.
The book starts with the basics and does not assume any prior knowledge. It shows you what machine learning is and what it aims to achieve, building on this knowledge image by image until you master the concepts behind self-driving cars and facial recognition.
Contents include:
- Basic concepts of machine learning
- Classification and cross-validation
- Fundamentals of statistics
- Linear and logistic regression
- Gradient descent methods
- Naive Bayes
- Avoiding overfitting through regularization
- Decision trees
- Support Vector Machines (SVMs)
- Neural networks.
Language | German |
topic | Technology & IT |
Subtopic | Computer networks and security |
Author | Josh Starmer |
Number of pages | 304 |
Book cover | Paperback |
Year | 2023 |
Item number | 32586188 |
Publisher | Mitp |
Category | Reference books |
Release date | 26.4.2023 |
topic | Technology & IT |
Subtopic | Computer networks and security |
Language | German |
Author | Josh Starmer |
Year | 2023 |
Number of pages | 304 |
Edition | 1 |
Book cover | Paperback |
Year | 2023 |
CO₂-Emission | |
Climate contribution |
Height | 160 mm |
Width | 210 mm |
Weight | 451 g |
Length | 21.80 cm |
Width | 17.10 cm |
Height | 1.60 cm |
Weight | 450 g |
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