Zsolt Nagy - Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances

Machine learning and neural networks are fast becoming pillars on which you can build intelligent applications. The book begins by introducing you to Python and discussing the use of AI search algorithms. You will learn math-heavy topics, such as regression and classification, illustrated by Python examples.

You will then progress on to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, which are a powerful tool benefiting from Moore's law being applied to 21st-century computing power. By the end of this book, you will feel confident and will look forward to building your own AI applications with your newly-acquired skills!

Zsolt Nagy is an engineering manager in an ad tech company heavy on data science. After acquiring his Master's in inference on ontologies, he mainly used AI to analyze online poker strategies to aid professional poker players in decision-making. After the poker boom ended, he put his efforts into building a T-shaped profile in leadership and software engineering.

• Understand the importance, principles, and fields of AI
• Learn how to use Python to implement basic artificial intelligence for pathfinding and beating games
• Implement regression and classification exercises in Python applied to real-world problems
• Perform predictive analysis in Python using decision trees and random forests
• Perform clustering in Python using the k-means and mean shift algorithms
• Understand the fundamentals of deep learning via practical examples

Software developers who think that their future is more lucrative as a data scientist or who want to use machine learning to enrich their current personal or professional projects. Prior experience of AI is not needed, however, knowledge of at least one programming language (preferably Python) and high school-level math is required. Although this is a beginner-level book on AI, intermediate students will benefit from improving their Python by implementing practical applications, using and refreshing their fundamental AI knowledge.