Machine Learning: Fundamentals and Algorithms

In machine learning, there are fundamental algorithms. In this module, you will learn to use the k-NN algorithm to classify points given a simple dataset and implement a full decision tree for learning and prediction.

Building your skills in Python, you will employ model selection techniques to select k for the k-NN algorithm and implement a grid search to select multiple hyperparameters for a model.

Creating machine learning solutions can require refinement of the inner workings of algorithms. Learn to adapt the k-NN algorithm and decision tree for classification to regression and use gradient descent to implement linear regression.

You will determine how convexity affects optimization and implement linear regression with optimization using stochastic gradient descent.

Given independent and identically distributed (IID) data and parameters of a logistic regression distribution, you will learn to compute conditional likelihood and implement stochastic gradient descent for binary logistic regression.

As you discover ways to combat overfitting, you will convert a nonlinear dataset to a linear dataset in higher dimensions, manipulate the hyperparameters of L1 and L2 regularization implementations, and identify the effects on the magnitude and sparsity of parameters.

Combine simpler models as components to build up feed-forward neural network architectures while expressing these networks mathematically in scalar form.

Adding to your deep knowledge of algorithmic applications, you will learn to execute the backpropagation algorithm on a simple scalar computation graph and apply the algorithm to a neural network.

In addition to exploring solutions to practical challenges in this final module, you will learn to implement the k-means algorithm and recognize and explain challenges in selecting the number of clusters.

In this program, machine learning training centers on understanding how learning algorithms work and how they are implemented. Participants engage with structured learning methods that combine mathematical theory, Python programming, and applied exercises. Across modules, coding assignments are included to reinforce algorithm design, evaluation, and optimization, helping learners build practical machine learning and AI skills.

The best machine learning course depends on your background and learning goals. The Machine Learning: Fundamentals and Algorithms program from Carnegie Mellon University School of Computer Science Executive Education is designed for professionals seeking a rigorous foundation in algorithms and mathematics. The curriculum emphasizes how and why models work across different learning paradigms.

Understanding machine learning through self-study will depend on your prior experience and career goals. The Machine Learning: Fundamentals and Algorithms program offers a defined progression through key topics such as decision trees, regression, optimization, and neural networks. In addition to guided instruction and applied practice, participants who complete this online machine learning course receive a verified digital certificate from Carnegie Mellon University School of Computer Science Executive Education.

Participants of the Machine Learning: Fundamentals and Algorithms program from CMU School of Computer Science Executive Education are expected to have prior experience with Python programming and a working understanding of linear algebra, calculus, probability, and statistics. A self-assessment is provided to help learners evaluate readiness for the program’s technical content before enrolling.

Upon successful completion, participants receive a verified digital certificate in machine learning from Carnegie Mellon University School of Computer Science Executive Education. This certificate recognizes completion of the machine learning training program and does not grant academic credit.

How do I know if this program is right for me?

After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow-up with you very shortly.

Are there any prerequisites for this program?

Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at the ID mentioned above.

Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.

What is the typical class profile?

More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.

What other dates will this program be offered in the future?

Check back to this program web page or email us to inquire if future program dates or the timeline for future offerings have been confirmed yet.

How much time is required each week?

Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.

How will my time be spent?

We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:

• Engaging with recorded video lectures from faculty

• Attending webinars and office hours, as per the specific program schedule

• Reading or engaging with examples of core topics

• Completing knowledge checks/quizzes and required activities

• Engaging in moderated discussion groups with your peers

• Completing your final project, if required

The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on program activities.

What is it like to learn online with the learning collaborator, Emeritus?

More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.

All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner the cost of which is already included in the overall course fee of the course.

A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

How do I interact with other program participants?

Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.

What are the requirements to earn the certificate?

Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.

This program is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please email us if you need further clarification on any specific program requirements.

What type of certificate will I receive?

Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the program, once grading is complete.

Can I get the hard copy of the certificate?

No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.

Do I receive alumni status after completing this program?

No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.

How long will I have access to the learning materials?

You will have access to the online learning platform and all the videos and program materials for 24 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

What equipment or technical requirements are there for this program?

Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.

Do I need to be online to access the program content?

Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.

Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.

Can I still register if the registration deadline has passed?

Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.

What is the program fee, and what forms of payment do you accept?

The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.

• Flexible payment options are available (see details below as well as at the top of this program web page next to FEE).

• Tuition assistance is available for participants who qualify. Please email

  learner.success@emeritus.org.

What if I don’t have a credit card? Is there another method of payment accepted?

Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us for details.

I was not able to use the discount code provided. Can you help?

Yes! Please email us with the details of the program you are interested in, and we will assist you.

How can I obtain an invoice for payment?

Please email us your invoicing requirements and the specific program you’re interested in enrolling in.

Is there an option to make flexible payments for this program?

Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.

How can I obtain a W9 form?

Please connect with us via email for assistance.

Who will be collecting the payment for the program?

Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.

Are there any restrictions on the types of funding that can be used to pay for the program?

Program fees for Emeritus programs with Carnegie Mellon University’s School of Computer Science Executive Education may not be paid for with (a) funds from the GI Bill, the Post-9/11 Educational Assistance Act of 2008, or similar types of military education funding benefits or (b) Title IV financial aid funds.

What is the program refund and deferral policy?

For the program refund and deferral policy, please click the link here.