Support Vector Machines

Sort options

Introduction to Machine Learning in Sports Analytics (Coursera)

In this course students will explore supervised machine learning techniques using the python scikit learn (sklearn) toolkit and real-world athletic data to understand both machine learning algorithms and how to predict athletic outcomes. Building on the previous courses in the specialization, students will apply methods such as support vector [...]

Machine Learning Models in Science (Coursera)

Aug 15th 2022
Machine Learning Models in Science (Coursera)
Course Auditing
Categories
Effort
Languages
This course is aimed at anyone interested in applying machine learning techniques to scientific problems. In this course, we'll learn about the complete machine learning pipeline, from reading in, cleaning, and transforming data to running basic and advanced machine learning algorithms. We'll start with data preprocessing techniques, such as [...]
Aug 15th 2022
Course Auditing
33.00 EUR/month

Machine Learning Algorithms: Supervised Learning Tip to Tail (Coursera)

This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast [...]

Machine Learning (Coursera)

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably [...]

Machine Learning Algorithms (Coursera)

In this course you will: understand the naïve Bayesian algorithm; understand the Support Vector Machine algorithm; understand the Decision Tree algorithm; understand the Clustering. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional [...]

Introduction to Machine Learning: Supervised Learning (Coursera)

In this course, you’ll be learning various supervised ML algorithms and prediction tasks applied to different data. You’ll learn when to use which model and why, and how to improve the model performances. We will cover models such as linear and logistic regression, KNN, Decision trees and ensembling methods [...]

Machine Learning Using SAS Viya (Coursera)

Aug 8th 2022
Machine Learning Using SAS Viya (Coursera)
Course Auditing
Categories
Effort
Languages
This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, [...]

Machine Learning: Concepts and Applications (Coursera)

Aug 1st 2022
Machine Learning: Concepts and Applications (Coursera)
Course Auditing
Categories
Effort
Languages
This course gives you a comprehensive introduction to both the theory and practice of machine learning. You will learn to use Python along with industry-standard libraries and tools, including Pandas, Scikit-learn, and Tensorflow, to ingest, explore, and prepare data for modeling and then train and evaluate models using a [...]

Applied Machine Learning in Python (Coursera)

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. [...]

Business Intelligence (EMMA)

A self-managed MOOC where you organize your own study schedule and learning journey (through the content provided). The amount of data generated by the information society is growing day by day, and will continue to grow thanks to the explosion of social networks, the smarts cities, the big data, [...]