Machine learning is everywhere, and is often at work even when we don't realize it. Google Translate, Siri, and Facebook News Feeds are just a few popular examples of machine learning's omnipresence. The ability to develop machines and systems that can automatically improve themselves puts machine learning at the absolute forefront of virtually any field that relies on data. If you are interested in the field of Machine Learning, and want to get hands on experience building models to topical datasets, so that you can join the pioneers who lead this field in the industry today, this program is ideal. This program is also excellent for Data Analysts who want to move into a more machine learning centric role because this program focuses specifically on building real world skills that you will be able to apply to your Machine Learning Engineer job. The goal of the Machine Learning Nanodegree program is to equip you with key skills that will prepare you to fill roles within companies seeking machine learning experts as well as those looking to introduce machine learning techniques to their organizations.
This program covers Supervised Learning, Unsupervised Learning, Reinforcement Learning, and Deep Learning.
We recommend having Anaconda installed with Python 2.7 as a minimum. Virtually any 64-bit operating with at least 8GB of RAM will be suitable.
This program will prepare you for Data Scientist and Machine Learning Engineer jobs.
Yes! You will receive a Machine Learning Nanodegree program credential after you successfully complete the program.
Yes! We admit students on a rolling basis, and you will automatically be added to the next available term once you've successfully enrolled.
When you enroll, you are automatically added to the next available term. Every term has a fixed start date, and content becomes available on that date.
Yes, but you won't be able to access the content, as it stays locked until your term begins. In the classroom, you'll see a countdown to your term's start date.
No, deferments are not an option. We ask that you please make sure to enroll for a term only if you are able to commit to the entire time frame.
Yes. In this way, we know exactly how many student are in a term, and can optimize our instructional and support resources accordingly. Additionally, this approach ensures a consistent and stable student body throughout the program, which fosters a deeper sense of community, and enables richer collaborations as students work together as a group.
Prior to entering the Machine Learning Nanodegree program, you should have the following knowledge:
Strings, numbers, and variables
Statements, operators, and expressions
Lists, tuples, and dictionaries
Procedures, objects, modules, and libraries
Troubleshooting and debugging
Research & documentation
Algorithms and data structures
Mean, median, mode
Variation, standard deviations
Precision and accuracy
Confidence Interval, P-values, T-test, Statistical Significance
Matrix operations through eigenvectors and eigenvalues
If you need to learn these skills, or would like to brush up on them, we recommend the following courses:
Our programs require a serious time commitment from students, so while we do not recommend doing so, we do not prohibit concurrent enrollments. This is an intensive, paced program, and students must proceed throughout the programs at the required rate of progress. To make the most of your experience, we believe you are best served by focusing on one program at a time and being fully immersed in the unique structure and pacing. You can always take one after the other!
No. You will retain access to the program materials for a period of time after graduation and you may download certain materials for your own records if you wish. Please note however, that students who leave the program—or who are removed from the program for failure to meet deadlines—prior to successfully graduating, will cease to have access.
This Nanodegree program consists of one term that is six months long. Students must complete the full six months to earn their credential and graduate. The term costs $999, which is paid at the beginning of the term.
No, there is no free trial period for this program.
There is a 7-day refund policy. During this time, you can visit the Settings page of your Udacity classroom where you can unenroll and request a full refund. This 7-day window begins the day the classroom opens. After the first 7 days, course fees are non-refundable.
All current scholarship opportunities are posted on our Scholarships page.
Between instructional content, quizzes, projects, and other course-related activity, we estimate that investing 15 hours per week will enable you to proceed through the program at a successful pace.
It is not. This is a unique, termed program that requires students to keep pace with their peers throughout the duration of the program. If a student does not complete a term by the term deadline, they will be removed from the program and will need to re-enroll in a new term and pay the full term fee in order to continue.
No. Due to the fixed-term nature of the Machine Learning Nanodegree program, and the need for maintaining a consistent and stable student body throughout, it will not be possible to pause your enrollment in this program.
It is strongly recommended that you complete each project on time to ensure you meet graduation requirements. To graduate, you must complete, submit, and meet expectations for all required projects within four months of your start date. While there is no penalty for missing a project deadline, missing one puts you at risk to be removed from the program if you do not stay on track and complete all required projects before the term ends. Finally, by keeping pace with your fellow students, you'll gain much more value from forums and Slack channels!
You will receive a free four-week extension, which is automatically applied to your account if you do not complete the term within the allotted six-month timeframe. If you do not complete the term within the extension, you will be removed from the program and will no longer be able to access course content. To resume access to the course, you would need to pay the term fee again. Your progress would carry over, so you would be able to continue where you left off.
While some of the video material is available outside of the program, most of the material will only be available to currently enrolled Nanodegree students. Access to project feedback, instructor support, and hiring partners are benefits exclusive to the Nanodegree programs.
Yes! We are happy to offer Udacity Connect for Machine Learning students in certain select locations including the San Francisco bay area. You are welcome to apply through the Udacity Connect page.
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