Summary Introduction to Machine Learning: Foundations and Applications
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Course
Machine Learning
Institution
Machine Learning
Begin your journey into the fascinating world of machine learning with this foundational course designed to provide a comprehensive introduction to the core concepts and techniques of ML. Ideal for beginners and those looking to solidify their understanding, this course covers the essential princip...
Gradient Boosting is a popular machine learning algorithm used for
making predictions
It works by building an ensemble of weak prediction models, typically
decision trees
The algorithm sequentially trains new models to correct the errors made
by the previous models
Classification: Logistic Regression and K Nearest Neighbors
Logistic Regression is a linear model used for classification tasks
It works by estimating the probability of a data point belonging to a
certain class
K Nearest Neighbors (KNN) is a simple, instance-based learning
algorithm used for classification
It works by finding the 'k' nearest data points to a given data point and
then assigning the majority class
Unsupervised Learning: Clustering and Collaborative Filtering
Clustering is a type of unsupervised learning that involves grouping data
points together based on similarities
Collaborative Filtering is a technique used for making recommendations
by finding patterns in user behavior
Decision Trees: How to Make Predictions using Decision Trees
Decision Trees are a type of supervised learning algorithm used for both
classification and regression tasks
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