Machine Learning Algorithms in Depth, Smolyakov V., 2024

Machine Learning Algorithms in Depth, Smolyakov V., 2024.
     
   This book dives into the design of ML algorithms from scratch. Throughout the book, you will develop mathematical intuition for classic and modern ML algorithms and learn the fundamentals of Bayesian inference and deep learning as well as data structures and algorithmic paradigms in ML.
Understanding ML algorithms from scratch will help you choose the right algorithm for the task, explain the results, troubleshoot advanced problems, extend algorithms to new applications, and improve the performance of existing algorithms.




Machine learning algorithms.
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 (runtime complexity) and how much memory it takes (memory or space complexity) for an input of size n. For example, a comparison-based sort, as we’ll see later, has O(n log n) run-time complexity and requires O(n) memory storage.

CONTENTS.
Preface.
Acknowledgments.
About the book.
About the authors.
About the cover illustration.
PART 1 INTRODUCING ML ALGORITHMS.
1 Machine learning algorithms.
2 Markov chain Monte Carlo.
3 Variational inference.
4 Software implementation.
PART 2 SUPERVISED LEARNING.
5 Classification algorithms.
6 Regression algorithms.
7 Selected supervised learning algorithms.
PART 3 UNSUPERVISED LEARNING.
8 Fundamental unsupervised learning algorithms.
9 Selected unsupervised learning algorithms.
PART 4 DEEP LEARNING.
10 Fundamental deep learning algorithms.
11 Advanced deep learning algorithms.
Appendix A Further reading and resources.
Appendix B Answers to exercises.
Index.



Бесплатно скачать электронную книгу в удобном формате, смотреть и читать:
Скачать книгу Machine Learning Algorithms in Depth, Smolyakov V., 2024 - fileskachat.com, быстрое и бесплатное скачивание.

Скачать pdf
Ниже можно купить эту книгу, если она есть в продаже, и похожие книги по лучшей цене со скидкой с доставкой по всей России.Купить книги


Скачать - pdf - Яндекс.Диск.




Теги: учебник по программированию :: программирование :: Smolyakov