Machine Learning with Python: From Linear Models to Deep Learning
About Course
Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, or risk.
As a discipline, machine learning tries to design and understand computer programs that learn from experience for the purpose of prediction or control.
In this course, students will learn about principles and algorithms for turning training data into effective automated predictions.
Requirements
Computing for Data Analysis
Introduction to Analytics Modeling
Basic Programming Proficiency
Probability Statistics
Linear algebra
Basic Calculus
What I will learn?
Principles behind machine learning problems.
learn classification, regression, clustering, and reinforcement learning
