CANCEL

Subscription

0

Cart

You have no products in your basket yet

Save more on your purchases!
Savings automatically calculated. No voucher code required

Account

eBook

Print

Subscription

Free Trial
Download this book in **EPUB** and **PDF** formats

Access this title in our online reader with advanced features

- Familiarize yourself with advanced deep learning architectures
- Explore newer topics, such as handling hidden bias in data and algorithm explainability
- Get to grips with different programming algorithms and choose the right data structures for their optimal implementation

The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world but also to understand how it works.
You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and will then work with machine learning algorithms to understand the math and logic behind them.
Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use.
You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT.
Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks.
By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.

- Design algorithms for solving complex problems
- Become familiar with neural networks and deep learning techniques
- Explore existing data structures and algorithms found in Python libraries
- Implement graph algorithms for fraud detection using network analysis
- Delve into state-of-the-art algorithms for proficient Natural Language Processing illustrated with real-world examples
- Create a recommendation engine that suggests relevant movies to subscribers
- Grasp the concepts of sequential machine learning models and their foundational role in the development of cutting-edge LLMs

Download this book in **EPUB** and **PDF** formats

Access this title in our online reader with advanced features

Publication date :
Sep 29, 2023

Length
538 pages

Edition :
2nd Edition

Language :
English

ISBN-13 :
9781803247762

Category :

Concepts :

Total
R$
240.00
668.97
428.97 saved

R$80
~~R$222.99~~

R$80
~~R$222.99~~

R$80
~~R$222.99~~

=

Total
R$
240.00
668.97
428.97 saved

Preface

1. Section 1: Fundamentals and Core Algorithms

2. Overview of Algorithms

3. Data Structures Used in Algorithms

4. Sorting and Searching Algorithms

5. Designing Algorithms

6. Graph Algorithms

7. Section 2: Machine Learning Algorithms

8. Unsupervised Machine Learning Algorithms

9. Traditional Supervised Learning Algorithms

10. Neural Network Algorithms

11. Algorithms for Natural Language Processing

12. Understanding Sequential Models

13. Advanced Sequential Modeling Algorithms

14. Section 3: Advanced Topics

15. Recommendation Engines

16. Algorithmic Strategies for Data Handling

17. Cryptography

18. Large-Scale Algorithms

19. Practical Considerations

20. Other Books You May Enjoy

21. Index

Filter

Sandra Patricia Bermudez Kasperczak
Feb 22, 2024

Feefo Verified review

Kam F Siu
Jan 30, 2024

Feefo Verified review

N/A
Feb 19, 2024

Feefo Verified review

Kevin Killion
Feb 15, 2024

Feefo Verified review

N/A
Feb 21, 2024

Feefo Verified review

How do I buy and download an eBook?

How can I make a purchase on your website?

Where can I access support around an eBook?

What eBook formats do Packt support?

What are the benefits of eBooks?

What is an eBook?