3.9  50 reviews on Udemy

Artificial Intelligence and Machine Learning Fundamentals

Learn to develop real-world applications powered by the latest advances in intelligent systems
Course from Udemy
 325 students enrolled
Understand the importance, principles, and fields of AI
Learn to implement basic artificial intelligence concepts with Python
Apply regression and classification concepts to real-world problems
Perform predictive analysis using decision trees and random forests
Perform clustering using the k-means and mean shift algorithms
Understand the fundamentals of deep learning via practical examples

Machine learning and neural networks are fast becoming pillars on which you can build intelligent applications. The course will begin by introducing you to Python and discussing using 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 data sets to form decision trees and clusters. You will be introduced to neural networks, which is a powerful tool benefiting from Moore's law applied on 21st-century computing power. By the end of this course, you will feel confident and look forward to building your own AI applications with your newly-acquired skills!

About the Author

Zsolt Nagy is an engineering manager in an ad tech company heavy on data science. After acquiring his MSc in inference on ontologies, he used AI mainly for analyzing online poker strategies to aid professional poker players in decision making. After the poker boom ended, he put extra effort into building a T-shaped profile in leadership and software engineering.

Artificial Intelligence and Machine Learning Fundamentals
$ 94.99
per course
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