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Build Decision Trees, SVMs, and Artificial Neural Networks
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Build Decision Trees, SVMs, and Artificial Neural Networks

This course is part of CertNexus Certified AI Practitioner.

Course Cost

Free course

Intermediate

Skill Level

19 Hours

Self-paced lessons

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.

4.9

3,953 Enrolled

Stacey McBrine

Stacey McBrine

English

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4.9

3,953 Enrolled

English

Stacey McBrine

Stacey McBrine

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

Neural Networks
Decision Trees
Support Vector Machines
Deep Learning
Machine Learning Algorithms
Computer Vision
Natural Language Processing
Model Training
Feature Selection
Algorithm Optimization

This course includes:

3.2 Hours PreRecorded video

4 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: CertNexus Certified AI Practitioner

Reviews

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Stacey McBrine

4.8

8

Reviews

8,410

Students

5

Courses

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.
Build Decision Trees, SVMs, and Artificial Neural Networks

Intermediate

Skill Level

19 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.