Machine Learning with Python: Theory and Implementation

Price: $99.99 – $66.91
(as of Dec 24,2024 20:42:11 UTC – Details)

Publisher ‏ : ‎ Springer; 2023rd edition (July 12, 2023)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 469 pages
ISBN-10 ‏ : ‎ 3031333411
ISBN-13 ‏ : ‎ 978-3031333415
Item Weight ‏ : ‎ 1.84 pounds
Dimensions ‏ : ‎ 6.14 x 1 x 9.21 inches

Machine Learning with Python: Theory and Implementation

In the world of data science and artificial intelligence, machine learning has become a powerful tool for solving complex problems and making data-driven decisions. Python, with its extensive libraries and easy-to-use syntax, has become one of the most popular languages for implementing machine learning algorithms.

In this post, we will explore the theory behind machine learning and how it can be implemented using Python. We will cover topics such as supervised learning, unsupervised learning, and reinforcement learning, as well as popular algorithms like linear regression, decision trees, and neural networks.

We will also provide practical examples and code snippets to demonstrate how these algorithms can be implemented in Python using libraries such as scikit-learn and TensorFlow. By the end of this post, you will have a solid understanding of the theory behind machine learning and the practical skills to implement these algorithms in Python.

Whether you are a beginner looking to get started with machine learning or an experienced data scientist looking to expand your skill set, this post will provide you with the knowledge and tools you need to succeed in the exciting field of machine learning with Python.
#Machine #Learning #Python #Theory #Implementation