Machine Learning Algorithms / Nejlevnější knihy
Machine Learning Algorithms

Kód: 44213778

Machine Learning Algorithms

Autor Aman Kharwal

In "Machine Learning Algorithms: Handbook," Aman Kharwal, founder of Statso.io, takes you on an enlightening journey through the fascinating world of machine learning. Whether you are a seasoned data scientist or a curious beginne ... celý popis

886


Skladem u dodavatele
Odesíláme za 10-18 dnů
Přidat mezi přání

Mohlo by se vám také líbit

Dárkový poukaz: Radost zaručena

Objednat dárkový poukazVíce informací

Více informací o knize Machine Learning Algorithms

Nákupem získáte 89 bodů

Anotace knihy

In "Machine Learning Algorithms: Handbook," Aman Kharwal, founder of Statso.io, takes you on an enlightening journey through the fascinating world of machine learning. Whether you are a seasoned data scientist or a curious beginner, this book provides a holistic overview of the essential algorithms that form the backbone of modern machine learning.


With clarity and precision, Aman demystifies complex concepts, guiding you step-by-step through the fundamentals of regression, classification, clustering, deep learning, and time series forecasting. Each chapter presents a deep dive into a specific algorithm, equipping you with the knowledge and skills to tackle real-world problems head-on.


Key Features:


1. Clear Explanations of Machine Learning Algorithms: The book offers clear and concise explanations of machine learning algorithms, ensuring that readers of all levels can grasp the concepts effortlessly.

2. Hands-On Approach: Packed with practical examples using Python and code snippets, you'll gain a hands-on understanding of how each algorithm works and learn to implement them in real projects.

3. Comprehensive Coverage: From linear regression and support vector machines to decision trees and neural networks, the book covers a wide array of algorithms, giving you a solid foundation to explore diverse problem domains.

4. Performance Evaluation Methods: Learn how to evaluate the effectiveness of your models, identify areas for improvement, and optimize their performance using industry-standard evaluation techniques.

5. Data Preprocessing Techniques: Discover the critical elements of data preprocessing that lay the groundwork for building robust and accurate machine learning models.

6. Time Series Forecasting: Explore advanced algorithms specifically designed for time series data, a critical component of numerous real-world applications.

7. Appendix for Easy Reference: Access all parameters of commonly used machine learning algorithms in a handy appendix, facilitating efficient model tuning.


Whether you are interested in learning the fundamentals of all Machine Learning algorithms, implementation of Machine Learning algorithms using Python, or preparing for an interview, "Machine Learning Algorithms: Handbook" will help you in every way.


Parametry knihy

Zařazení knihy Knihy v němčině Sozialwissenschaften, Recht, Wirtschaft Soziologie Soziologische Theorien

886

Oblíbené z jiného soudku



Osobní odběr Praha, Brno a 47410 dalších

Copyright ©2008-26 nejlevnejsi-knihy.cz Všechna práva vyhrazenaSoukromíCookies


Můj účet: Přihlásit se
Všechny knihy světa na jednom místě. Navíc za skvělé ceny.

Nákupní košík ( prázdný )

Vyzvednutí v Balikovně a PPL
boxech
zdarma nad 1 499 Kč.

Nacházíte se: