Machine Learning Mathematics In Python

Farid-Khan

Uploader
LV
5
 
Csatlakozás
2023.06.08.
Üzenetek
31,279
Reakció pontszám
204
Díjak
6
Kor
36
omcyvog71x80.png

English | July 6, 2024 | ASIN: B0D8ZN5L1L | PDF | 4.37 Mb​

Machine Learning for Time Series Forecasting with Python (Francesca Lazzeri) (2020)
Catergory: Computer Technology, Mathematics, Nonfiction
Publisher: Wiley
This book delves into the intricate relationship between mathematics and machine learning, providing readers with a comprehensive understanding of the mathematical concepts that underpin modern AI. From linear algebra and calculus to probability theory and statistics, each chapter explores a different mathematical topic and its application in machine learning. Throughout the book, readers will learn about fundamental concepts such as regression, classification, clustering, and deep learning, as well as advanced topics like reinforcement learning, GANs, and quantum machine learning. With a focus on both theoretical foundations and practical applications, "Machine Learning Mathematics" is an indispensable resource for anyone looking to deepen their understanding of the mathematical principles that drive contemporary AI algorithms.

This book aims to bridge the gap between mathematics and machine learning, showcasing the critical role of mathematics in solving complex data-driven tasks. Each chapter presents key mathematical concepts, accompanied by clear explanations and python code samples, ensuring that readers can grasp the underlying principles. From matrix operations and optimization techniques to probability distributions and statistical inference, the book covers a wide range of mathematical topics that are essential for understanding machine learning algorithms. Additionally, the book explores various machine learning techniques, including linear regression, logistic regression, decision trees, neural networks, and more. By incorporating mathematical rigour into the discussion of machine learning, this book equips readers with the tools they need to effectively analyze and implement machine learning algorithms in practice.

🌞 Contents of Download:
📌 B0D8ZN5L1L.pdf (Francesca Lazzeri) (2020) (4.37 MB)

vAvBU3y.gif

⭐Machine Learning Mathematics In Python ✅ (4.37 MB)
NitroFlare Link(s) (Premium Link)
Code:
            
                
                
                    
                   
                    A kód megtekintéséhez jelentkezz be.
					Please log in to view the code.
                
            
        
RapidGator Link(s)
Code:
            
                
                
                    
                   
                    A kód megtekintéséhez jelentkezz be.
					Please log in to view the code.
                
            
        
 
Top Alul