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Machine Learning

Get ready to unlock the power of automated systems that can analyze massive data sets and make predictions at lightning speed. Join this interdisciplinary course that will introduce you to a wide range of machine learning models and algorithms, equipping you for real-world applications in research or industry. Prerequisite: Advanced Python. Note: This class is delivered virtually via Zoom.

  • Advanced
  • 18 and older
  • $914
  • Live Online
  • 78 hours over 26 sessions

Start Dates (1)

  • $914
  • Live Online
  • 78 hours over 26 sessions
  • Price includes $15 registration fee
20 seats left
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Show all 26 sessions
  • Tue, Apr 02 at 6:00pm - 9:00pm
  • Thu, Apr 04 at 6:00pm - 9:00pm
  • Tue, Apr 09 at 6:00pm - 9:00pm
  • Thu, Apr 11 at 6:00pm - 9:00pm
  • Tue, Apr 16 at 6:00pm - 9:00pm
  • Thu, Apr 18 at 6:00pm - 9:00pm
  • Tue, Apr 23 at 6:00pm - 9:00pm
  • Thu, Apr 25 at 6:00pm - 9:00pm
  • Tue, Apr 30 at 6:00pm - 9:00pm
  • Thu, May 02 at 6:00pm - 9:00pm
  • Tue, May 07 at 6:00pm - 9:00pm
  • Thu, May 09 at 6:00pm - 9:00pm
  • Tue, May 14 at 6:00pm - 9:00pm
  • Thu, May 16 at 6:00pm - 9:00pm
  • Tue, May 21 at 6:00pm - 9:00pm
  • Thu, May 23 at 6:00pm - 9:00pm
  • Tue, May 28 at 6:00pm - 9:00pm
  • Thu, May 30 at 6:00pm - 9:00pm
  • Tue, Jun 04 at 6:00pm - 9:00pm
  • Thu, Jun 06 at 6:00pm - 9:00pm
  • Tue, Jun 11 at 6:00pm - 9:00pm
  • Thu, Jun 13 at 6:00pm - 9:00pm
  • Tue, Jun 18 at 6:00pm - 9:00pm
  • Thu, Jun 20 at 6:00pm - 9:00pm
  • Tue, Jun 25 at 6:00pm - 9:00pm
  • Thu, Jun 27 at 6:00pm - 9:00pm
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Class Description

Description

What you'll learn in this machine learning course:

Machine learning uses interdisciplinary techniques such as statistics, linear algebra, optimization, and computer science to create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention.

This class will familiarize students with a broad cross-section of models and algorithms for machine learning and prepare them for research or industry application of machine learning techniques.

Prerequisite:

Advanced Python

Note:

This class is delivered virtually via Zoom.

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

School Notes: Please don't forget to bring a valid ID. Students registering on or after the first day of class shall be assessed a non-refundable late registration fee of $10.00.

Refund Policy

Tuition refunds are calculated in accordance with the Tuition Refund Policy for those students who officially drop a class or classes during the first three weeks of the semester. Fees are not refundable.

  • Drops prior to the first day of the semester: 95% Tuition Refund
  • Drops during the first calendar week of the semester: 75% Tuition Refund
  • Drops during the second calendar week of the semester: 50% Tuition Refund
  • Drops during the third calendar week of the semester: 25% Tuition Refund
  • No refund after the third calendar week of the semester.

Tuition will be refunded 100 percent for those courses which, at any time, are cancelled by the College. Failure to attend class, merely giving notice to the instructor, or stopping payment on a check is not considered an official drop or withdrawal.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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