Developing AI and ML Solutions with Java: Machine Learning Implementation Overview/Description Expected Duration Lesson Objectives Course Number Expertise Level Overview/Description Explore the various machine learning techniques and implementations using Java libraries, and learn to identify certain scenarios where you can implement algorithms.
Expected Duration (hours)
1.5
Lesson Objectives Developing AI and ML Solutions with Java: Machine Learning Implementation
identify the critical relation between machine learning and artificial intelligence
specify the various classifications of machine learning algorithms
describe the differences between supervised and unsupervised learning
state how to implement K-Means clusters
describe how to implement KNN algorithms
implement decision tree and random forest
recall how to use and work with linear regression analysis
implement gradient boosting algorithms using Java
illustrate the implementation of logistic regression using Java
recognize the usage and objective of probabilistic classifiers for statistical classification
implement Naïve Bayes classifier using Java
demonstrate how to use the K-Mean algorithm in ML applications
Course Number: it_sdjaai_02_enus
Expertise Level
Intermediate