Machine Learning Methods

Specialized Certificate

About the Machine Learning Methods Program

Overview

Program Benefits

Demand and Job Prospects

Explore Program

Our Specialized Certificate in Machine Learning Methods will introduce students to the subject matter using a variety of tools including: Linear Algebra, Deep Learning, TensorFlow, and Deep Neural Networks (DNN).

Machine Learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. According to a report by BCC Research, the ability of computers to "learn" without having to be programmed will continue to impact global markets in coming years. This growth is being driven by increased computing power, the expanding need for learning and prediction applications, and rising usage of the cloud for data storage.

A student completing this certificate will accumulate an important set of skills needed in current machine learning careers. Courses consist of both theoretical and practical skills complementing each other and hence enhancing the machine learning scientist abilities. Furthermore, courses are designed and classified to train students further in the field of machine learning, as well as coordinating with other engineering disciplines and industrial practices.

Key Program Topics

Learn linear algebra skills necessary for machine learning and neural network modelling
Tools and underlying mathematical concepts of data interpretation that work with specific models of neural networks (NN)
Review tools available to build Deep Learning including: Tensor Flow, Keras, and Theano
Perform detailed analysis of leading machine learning approaches and popular NN like CNN, FCNN, ImageNet, ResNet, and RNN
Apply NN in image classification, image segmentation and natural language processing (NLP)
Algorithms and modelling used in supervised learning of neural networks

For more information about this program, please contact: unex-techdata@ucsd.edu.

All courses can be taken online, many offered each academic quarter
Practical, comprehensive hands-on training
Taught by leading industry practitioners
Immediately applicable skills
Industry-neutral curriculum allows you to apply knowledge to your field of interest

Who Will Benefit

Individuals looking to learn machine learning skills using easily accessible tools
Those seeking to transition into a career in Artificial Intelligence and/or Machine Learning
Students desiring skills to enhance their prospects for a career in the hot AI market
Individuals with mathematical and computer sci backgrounds looking to add to their existing skillset

According to the U.S. Bureau of Labor Statistics (BLS), the median wages for a Computer and Information Research Scientist are $86,510 per year nationwide
Computer and Information Research Scientists is an O*NET “Bright Outlook” job: a new and emerging role in a high growth industry
According to Burning Glass, top companies hiring Machine Learning Scientists nationwide in the past year include IBM, Apple, Booz Allen Hamilton, Facebook, Conduent, Google, Microsoft, Twitter, and many others in the tech industry

Format: Online

Estimated Cost: $2,345

Excludes textbooks, software, related materials but includes certificate fee

Duration: 6-9 months

Flexible; most students complete the program in six to nine months

Contact

Department: Science & Technology
Phone: 858-534-9351
Email: unex-techdata@ucsd.edu

Courses

Number of courses: Three (one required class and two electives)
Total units: Nine

Linear Algebra for Machine LearningCSE-41287

Units: 3.00

$775

Linear Algebra for Machine LearningLinear algebra provides a mathematical framework for organizing information and then using that information to solve problems, especially physics, math, engineering,...

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Upcoming Start Dates:

September 25, 2023

January 9, 2024

Typically Offered: Fall, Winter, Spring, Summer

Complete six (6) units

Probability and Statistics for Deep LearningCSE-41305

Units: 3.00

$775

Probability and Statistics for Deep LearningDeep Learning is often called Statistical Learning and approached by many experts as statistical theory of the problem to find the best model/function app...

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Upcoming Start Dates:

September 25, 2023

Typically Offered: Fall, Spring

Intuitive Learning of Quantum ComputingCSE-41343

Units: 3.00

$775

Intuitive Learning of Quantum Computing This course provides the end-to-end description from quantum phenomena to quantum computing hardware, software, and algorithms to hands-on use of IBM Q systems....

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Upcoming Start Dates:

September 25, 2023

January 3, 2024

Typically Offered: Fall, Winter

Natural Language ProcessingCSE-41344

Units: 3.00

$745

The main goal of Natural Language Processing (NLP) is to comprehend the meaning of text semantics. Currently, there are two distinct approaches to NLP. In the first approach, the fundamental mathemati...

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Upcoming Start Dates:

September 26, 2023

January 9, 2024

Typically Offered: Fall, Spring

Practicum for Deep Neural NetworksCSE-41311

Units: 3.00

$775

Practicum for Deep Neural NetworksIn the last decade, Neural Networks (NN) have attracted a lot of research due to their immense application potential. Breakthroughs of Deep Learning in image classifi...

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Upcoming Start Dates:

January 9, 2024

Typically Offered: Winter, Summer

Introduction to Deep Learning for Computer VisionCSE-41388

Units: 3.00

$745

Deep Learning is a layered version of Machine Learning that began in the 1980s with Image Processing Engineering and the popular Computer Vision (CV) application. Teaching computer programs to see an...

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Upcoming Start Dates:

January 9, 2024

Typically Offered: Winter, Summer

Deep Learning Using TensorFlowCSE-41312

Units: 3.00

$745

Deep Learning Using TensorFlowDeep Learning is a branch of Artificial Intelligence (AI) that is based on the architecture of Neural Networks. When the number of hidden layers in a neural network is ex...

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Upcoming Start Dates:

September 26, 2023

Typically Offered: Fall, Spring

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Conditions for Admission

Although open to all adult learners, UC San Diego Extension programs are designed to best serve college-prepared working professionals. Where program capacity is limited, applicants with this profile will receive preference for admission.

Certificate Guidelines

You may enroll in the certificate program at any time. However, it is recommended that you enroll as soon as possible. The program curriculum may be updated at any time; if certificate requirements change, you must adhere to the curriculum at the time of your enrollment into the certificate.

EDC Preferred Provider

The San Diego Regional EDC's Advancing San Diego program is designed to address talent shortages in STEM positions. Students of our program will be eligible for fully-funded internships at San Diego small companies. Learn more about the program by visiting AdvancingSD.com.

Advisory Board

February 01, 2018

Emerging Careers: Operations Research Analysts

Combine the skills of a mathematician with the mindset of a detective and you have the foundation for a successful career as an operations research analyst.

September 05, 2017

Moneyball, Fantasy Football and Predictive Analytics

"What gets measured, gets managed." Peter Drucker

July 05, 2017

Bilyana Aleksic on the Evolution of Machine Learning

“Many of us didn’t have any idea when we were studying math at the university that we would use it so much in our everyday work." Bilyana Aleksic

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This certificate requires an application before taking any courses. There will be a $0 fee to apply to this program. Students will also be required to pay a $95 certificate fee upon enrollment into the program after acceptance. View the complete Certificate Registration and Candidacy Guidelines.

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Machine Learning Methods

Page Tools

About the Machine Learning Methods Program

Courses

Delivery Method

Linear Algebra for Machine LearningCSE-41287

Upcoming Start Dates:

Probability and Statistics for Deep LearningCSE-41305

Upcoming Start Dates:

Intuitive Learning of Quantum ComputingCSE-41343

Upcoming Start Dates:

Natural Language ProcessingCSE-41344

Upcoming Start Dates:

Practicum for Deep Neural NetworksCSE-41311

Upcoming Start Dates:

Introduction to Deep Learning for Computer VisionCSE-41388

Upcoming Start Dates:

Deep Learning Using TensorFlowCSE-41312

Upcoming Start Dates:

Conditions for Admission

Certificate Guidelines

EDC Preferred Provider

Advisory Board

Related Articles

Emerging Careers: Operations Research Analysts

Moneyball, Fantasy Football and Predictive Analytics

Bilyana Aleksic on the Evolution of Machine Learning

Programs you may also like:

Business Intelligence Analysis

Data Mining for Advanced Analytics

Biostatistics

Stay Updated

Interested in the Program?

Interested in the Program?

Ready to get started?

Ready to get started?

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