Mathematical Foundation for AI and Machine Learning
Learn the core mathematical concepts for machine learning and learn to implement them in R and Python
Created by Eduonix Learning Solutions
Build a strong foundation in the essential math concepts behind AI and machine learning. Explore linear algebra, calculus, and probability, and see how these ideas come to life in R and Python. Gain the confidence to tackle real-world machine learning problems with practical skills.
Packt | Jul 2018 | 255 min
What You Will Learn
You will start by breaking down complex mathematical ideas into simple, clear explanations. Step-by-step examples show how each concept connects to machine learning. Through practical coding exercises in R and Python, you'll see how math powers real algorithms and models. By the end, you'll be able to apply these skills directly to your own projects.
Key Features
- Understand key math concepts like linear algebra, calculus, and probability
- Apply mathematical principles to real-world AI and machine learning problems
- Implement core algorithms using both R and Python for hands-on experience
Target Audience
If you're new to AI or machine learning and want to strengthen your math skills, this is a great fit. Whether you're a developer, data analyst, or student looking to bridge the gap between theory and practice, you'll gain the tools you need to move forward with confidence.
