Machine Learning: Fundamentals and Algorithms offered by Carnegie Mellon University
- Private University
140 acre campus- Estd. 1900
Machine Learning: Fundamentals and Algorithms at Carnegie Mellon University Overview
Machine Learning: Fundamentals and Algorithms
at Carnegie Mellon University
Unlocking Intelligence: Dive into Machine Learning Fundamentals and Algorithms – Building Blocks for Transformative Data-driven Insights and Innovations.
Duration | 10 weeks |
Total fee | ₹1.77 Lakh |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Course Level | UG Certificate |
Future job roles | Software Developer, Compensation and Benefits |
Machine Learning: Fundamentals and Algorithms at Carnegie Mellon University Highlights
Machine Learning: Fundamentals and Algorithms
at Carnegie Mellon University
- Python Coding Exercise in Each Module
- Bite-Sized Learning
- Knowledge Checks
- Dedicated Program Support Team
- Mobile Learning App
- Peer Discussion
- Earn a Certification after completion
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Machine Learning: Fundamentals and Algorithms at Carnegie Mellon University Course details
Machine Learning: Fundamentals and Algorithms
at Carnegie Mellon University
Skills you will learn
Who should do this course?
- Engineers in IT products and services, healthcare, or banking and financial services who want hands-on instruction in the tools and techniques of machine learning.
What are the course deliverables?
- Synthesize components of machine learning to create functional tools for prediction of unseen data.
- Implement and analyze learning algorithms for classification, regression and clustering.
- Use concepts from probability, statistics, linear algebra, calculus and optimization to describe and refine the inner workings of machine learning algorithms.
More about this course
- With the paradigm shift in technology trending hard in the direction of machine learning and artificial intelligence, the skills of future-ready technologists, analysts, engineers and data managers also must shift, expand and advance.
- Machine Learning: Fundamentals and Algorithms, an online program offered by Carnegie Mellon University’s School of Computer Science Executive Education, provides you with the technical knowledge and analytical methods that will prepare you for the next generation of innovation.
- The course requires a functional knowledge of high-school-level linear algebra, calculus, probability, statistics, and Python programming.
Machine Learning: Fundamentals and Algorithms at Carnegie Mellon University Curriculum
Machine Learning: Fundamentals and Algorithms
at Carnegie Mellon University
Module 1: Decision Trees
Module 2: K-Nearest Neighbor
Module 3: Model Selection
Module 4: Linear Regression
Module 5: Optimization
Module 6: Binary Logistic Regression
Module 7: Regularization
Module 8: Neural Networks
Module 9: Backward Propagation
Module 10: K-Means and Others Learning Paradigms
Machine Learning: Fundamentals and Algorithms at Carnegie Mellon University Faculty details
Machine Learning: Fundamentals and Algorithms
at Carnegie Mellon University
PATRICK VIRTUE
Pat Virtue is an Assistant Teaching Professor in the Computer Science and Machine Learning departments at Carnegie Mellon University. He focuses on teaching techniques for artificial intelligence, machine learning, and computer science.
Machine Learning: Fundamentals and Algorithms at Carnegie Mellon University Entry Requirements
Machine Learning: Fundamentals and Algorithms
at Carnegie Mellon University
Eligibility criteria
- Participants will be expected to write their own code from scratch, therefore prior experience with coding is required.
Conditional Offer
- Yes
- The Universities' Heinz College occasionally admit students to the program with condition(s) placed on their enrollment. A condition will be clearly stated within the admission offer letter.
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Machine Learning: Fundamentals and Algorithms at Carnegie Mellon University Contact Information
Machine Learning: Fundamentals and Algorithms
at Carnegie Mellon University
Address
5000 Forbes Ave, Pittsburgh, PA 15213, USA
Pittsburgh ( Pennsylvania)
Phone
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