Machine learning is taking over the world - it is benefiting companies across industries. It is helping organizations create systems that can understand, learn, predict, adapt, and operate on their own. Thus, understanding how machine learning works are one of the most valuable and useful things you can do.
Whether you’re launching a career, advancing a career, or just excited to learn a new skill, there is no time like the present to get started on a Machine Learning path. Rocheston's Machine Learning course teaches you to understand the challenging yet thriving sub-field of data science. The program not only delves into the theoretical aspect but into hands-on practice building your own models.
Machine learning is taking over the world - it is benefiting companies across industries. It is helping organizations create systems that can understand, learn, predict, adapt, and operate on their own. Thus, understanding how machine learning wor...
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Course content
Module 1: Introduction
Module 2: Concept Learning and the General-to-specific Ordering
Module 3: Decision Tree Learning
Module 4: Machine Learning in Practice
Module 5: Beyond Binary Classification
Module 6: Linear Models
Module 7: Probabilistic Modelling
Module 8: Artificial Neural Networks
Module 9: Kernel Methods
Module 10: Evaluating Hypotheses
Module 11: Bayesian Learning
Module 12: Computation Learning Theory
Module 13: Instance-based Learning
Module 14: Genetic Algorithms
Module 15: Learning Sets of Rules
Module 16: Analytical Learning
Module 17: Combining Inductive and Analytical Learning
