Build Decision Trees, SVMs, and Artificial Neural Networks
Master advanced machine learning algorithms including decision trees, SVMs, and neural networks for solving complex AI problems.
Master advanced machine learning algorithms including decision trees, SVMs, and neural networks for solving complex AI problems.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full CertNexus Certified Artificial Intelligence Practitioner Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Train and evaluate decision trees and random forests
Implement SVMs for classification and regression
Build multi-layer perceptron neural networks
Develop CNNs for computer vision tasks
Create RNNs for natural language processing
Skills you'll gain
This course includes:
3.2 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course explores advanced machine learning algorithms and architectures. Students learn to implement decision trees, random forests, support vector machines (SVMs), and various neural network architectures including MLPs, CNNs, and RNNs. The curriculum covers both theoretical foundations and practical implementation, with hands-on projects in computer vision and natural language processing.
Build Decision Trees and Random Forests
Module 1 · 4 Hours to complete
Build Support-Vector Machines (SVM)
Module 2 · 3 Hours to complete
Build Multi-Layer Perceptrons (MLP)
Module 3 · 2 Hours to complete
Build Convolutional and Recurrent Neural Networks (CNN/RNN)
Module 4 · 5 Hours to complete
Apply What You've Learned
Module 5 · 5 Hours to complete
Fee Structure
Instructor
Cybersecurity Veteran Stacey McBrine Shapes Next Generation of Tech Leaders
Stacey McBrine brings over three decades of comprehensive expertise in systems analysis, security, and network architecture to the technology education landscape. His illustrious career spans from developing software solutions in assembly language and Oracle to providing crucial consulting services for business process automation and security. As an accomplished author and technical editor, McBrine has shared his knowledge through two published books and served on the Information and Communications Technology Council's Cyber Security Advisory Committee. Since 1999, he has been transforming classroom education with his practical approach to security, AI, and IoT technologies, earning prestigious recognitions including the CompTIA outstanding TTT Instructor award (2018) and Cisco Routing & Switching Instructor Excellence Award (2020). His exceptional credentials include authorizations from ISC2, Cisco, Logical Operations, CompTIA, and EC-Council, complemented by an impressive array of certifications including CISSP, CCNA, CAIP, and numerous others, making him one of the earliest MCSE certification holders for Windows 2000.
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Frequently asked questions
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