Machine Learning Methods

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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.

Program Benefits

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

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

Demand and Job Prospects

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.

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.

At a Glance

Number of courses: One required class and three electives (complete two elective courses)
Total units: Nine
Estimated cost: $2,045 - not including any required textbook or software
Time to complete: Flexible; most students complete the program in six to nine months
Delivery: All courses offered online

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

APPLY NOW

There will be a $95 fee upon acceptance into the program

Courses

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Required Course Program Core
Title & Course Number

Units

Fall

Winter

Spring

Summer

Actions
Linear Algebra for Machine Learning
(CSE-41287)

3.00 units

Fall Online

Winter Online

Spring Online

Summer Online
Elective Courses Choose two
Title & Course Number

Units

Fall

Winter

Spring

Summer

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Probability and Statistics for Deep Learning
(CSE-41305)

3.00 units

Fall Online

Winter --

Spring Online

Summer --
Title & Course Number

Units

Fall

Winter

Spring

Summer

Actions
Practicum for Deep Neural Networks
(CSE-41311)

3.00 units

Fall --

Winter Online

Spring --

Summer Online
Title & Course Number

Units

Fall

Winter

Spring

Summer

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Deep Learning Using TensorFlow
(CSE-41312)

3.00 units

Fall Online

Winter --

Spring Online

Summer --
Other Courses of Interest Not required for certificate
Title & Course Number

Units

Fall

Winter

Spring

Summer

Actions
Data Science with R
(CSE-41308)

3.00 units

Fall --

Winter Online

Spring --

Summer Online
Title & Course Number

Units

Fall

Winter

Spring

Summer

Actions
Data Analytics Using Python
(CSE-41204)

3.00 units

Fall --

Winter Online

Spring --

Summer Online
Title & Course Number

Units

Fall

Winter

Spring

Summer

Actions
Data Science using SAS
(CSE-41320)

3.00 units

Fall Online

Winter --

Spring Online

Summer --
Title & Course Number

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Fall

Winter

Spring

Summer

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Discrete Math: Problem Solving for Engineering, Programming, & Science
(CSE-41243)

3.00 units

Fall Online

Winter Online

Spring Online

Summer Online

APPLY NOW

There will be a $95 fee upon acceptance into the program

Admission

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.

APPLY NOW

There will be a $95 fee upon acceptance into the program

From the 'Apply Now' button, login to your student account, complete the online application, and pay the application fee if applicable. It is preferable that you create an account before proceeding if you have not already done so.

Candidates are encouraged to apply in the certificate program as early as possible to take advantage of program benefits. See Certificate FAQs for more information.

Contact

Science & Technology. Call 858-534-9351 or Email: unex-techdata@ucsd.edu
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.

Advisors

Bilyana Aleksic

Consultant
An Chan

Qualcomm
Alfonso Limon

Oneirix
Borislav Ristic

Consultant
Pranesh Sinah

Qualcomm
Jose Upingo

Consultant

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about Machine Learning Methods

From the Blog

December 21, 2015

Machine Learning Methods

Program Benefits

Key Program Topics

Demand and Job Prospects

Who Will Benefit

At a Glance

Contact

Conditions for Admission

Bilyana Aleksic

An Chan

Alfonso Limon

Borislav Ristic

Pranesh Sinah