Machine Learning: an overview
About this Course
The course provides a general overview of the main methods in the machine learning field. Starting from a taxonomy of the different problems that can be solved through machine learning techniques, the course briefly presents some algorithmic solutions, highlighting when they can be successful, but also their limitations. These concepts will be explained through examples and case studies.Created by: Politecnico di Milano
Related Online Courses
This course is for business analysts and SAS programmers who want to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course... more
Based on four of the most popular courses taught at the Wharton School, Achieving Personal and Professional Success is designed to introduce the tools and techniques for defining and achieving... more
In this project we are going to learn about lambda expressions and it\'s application in python. We are going to start with what is Lambda expression and how we can define it, comparing lambda... more
This Specialization will introduce non-native speakers of English to methods for developing English language and communication skills for the workplace, doing business, cross-cultural... more
Dive into the world of Primavera P6 PPM with this comprehensive course designed to help you master the essential skills of setting baselines and updating schedules. The course starts by exploring... more
Powered by
