Machine Learning
Machine Learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computer systems or machines to learn from data and make predictions or decisions without being explicitly programmed to do so. In the context of Python and R, machine learning involves using these programming languages along with libraries like scikit-learn (Python) and caret (R) to implement and apply various ML algorithms. Understanding mathematical concepts relevant to ML, such as linear algebra, calculus, and probability, is crucial for effectively designing and training ML models. Machine learning tutorials, projects, and interview questions further deepen understanding and proficiency in this field.
Prerequisite for Machine Learning
Machine Learning with Python
Machine Learning with R
- R for Machine Learning
- Machine Learning R Tutorial
- Machine Learning R Projects
- Machine Learning Interview Questions
What is AI ML DS and How To Get Started?
In this AI-ML-DS tutorial, you’ll find a wealth of resources designed to demystify these complex fields and empower you to develop practical skills and insights. Whether you’re just starting or looking to deepen your understanding, our tutorials cover everything from the basics of AI and ML algorithms to advanced data science techniques.