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Machine and Deep Learning
The Global Institute of Technology 'Machine and Deep Learning ' is a Foundational Certification program designed to prepare learners for mid-level employment opportunities in the field of Machine and Deep Learning in Artificial Intelligence. Throughout this program, students will Learn to set up your development environment with Python, Jupyter, and essential libraries, gaining hands-on experience in data manipulation. Explore both supervised and unsupervised learning, delving into classification algorithms and model evaluation metrics.
Master dimensionality reduction techniques to simplify complex datasets and gain insights. Grasp the fundamentals of deep learning, including neural networks and backpropagation, and apply these skills to practical exercises.
By the end of this course, you'll have a solid foundation in machine and deep learning, equipping you to tackle real-world challenges and harness the potential of these transformative technologies
Provider Information
GIT Services
4100 Lafayette Center Dr.
Suite 115 B
Chantilly, VA 20151
Course Overview
Basic understanding of Artificial Intelligence and Data Analysis is a plus
4100 Lafayette Center Dr.
Suite 115 B
Chantilly, VA 20151
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Learning Objectives
Upon completing this comprehensive course in Machine and Deep Learning, participants will:
- Get an Introduction to Machine Learning
- Setting up the Development Environment (Python, Jupyter, Libraries)
- Understand Supervised and Unsupervised Learning
- Delve into classification algorithms
- Explore Dimensionality Reduction Techniques
- Grasp Deep Learning Fundamentals and Training Nural Networks
- Introduce to Deep Learning Advanced Topics
- Work on Transfer Learning and Pre-trained Models
Upon completing this course, you will have gained a solid foundation in machine learning, deep learning, and practical data analysis skills, enabling you to apply these techniques to real-world problems and projects.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.