Machine Learning

Online Course

Udacity

Machine Learning

What is the course about?
Prerequisites & Facts
Cost, Certificate & Degree
Reviews & Experiences

What is the course about?

Machine Learning

The course Machine Learning is an online class provided by Udacity. The skill level of the course is Intermediate. It may be possible to receive a verified certification or use the course to prepare for a degree.

This class is offered as CS7641 at Georgia Tech where it is a part of the Online Masters Degree (OMS). Taking this course here will not earn credit towards the OMS degree.

Course description

Machine Learning
4 months

Supervised, Unsupervised & Reinforcement
Machine Learning is a graduate-level course covering the area of Artificial Intelligence concerned with computer programs that modify and improve their performance through experiences.
The first part of the course covers Supervised Learning, a machine learning task that makes it possible for your phone to recognize your voice, your email to filter spam, and for computers to learn a bunch of other cool stuff.
In part two, you will learn about Unsupervised Learning. Ever wonder how Netflix can predict what movies you’ll like? Or how Amazon knows what you want to buy before you do? Such answers can be found in this section!
Finally, can we program machines to learn like humans? This Reinforcement Learning section will teach you the algorithms for designing self-learning agents like us!

Supervised Learning
Unsupervised Learning
Reinforcement Learning

Machine Learning is the ROX
Decision Trees
Regression and Classification
Neural Networks
Instance-Based Learning
Ensemble B&B
Kernel Methods and Support Vector Machines (SVM)s
Computational Learning Theory
VC Dimensions
Bayesian Learning
Bayesian Inference
Randomized optimization
Clustering
Feature Selection
Feature Transformation
Information Theory
Markov Decision Processes
Reinforcement Learning
Game Theory

A strong familiarity with Probability Theory, Linear Algebra and Statistics is required. An understanding of Intro to Statistics, especially Lessons 8, 9 and 10, would be helpful.
Students should also have some experience in programming (perhaps through Introduction to CS) and a familiarity with Neural Networks (as covered in Introduction to Artificial Intelligence).
See the Technology Requirements for using Udacity.

You will learn about and practice a variety of Supervised, Unsupervised and Reinforcement Learning approaches.
Supervised Learning is an important component of all kinds of technologies, from stopping credit card fraud, to finding faces in camera images, to recognizing spoken language. Our goal is to give you the skills that you need to understand these technologies and interpret their output, which is important for solving a range of data science problems. And for surviving a robot uprising.
Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in data. This section focuses on how you can use Unsupervised Learning approaches — including randomized optimization, clustering, and feature selection and transformation — to find structure in unlabeled data.
Reinforcement Learning is the area of Machine Learning concerned with the actions that software agents ought to take in a particular environment in order to maximize rewards. You can apply Reinforcement Learning to robot control, chess, backgammon, checkers, and other activities that a software agent can learn. Reinforcement Learning uses behaviorist psychology in order to achieve reward maximization. This section also includes important Reinforcement Learning approaches like Markov Decision Processes and Game Theory.

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Prerequisites & Facts

Machine Learning

Course Topic

Development, ECMAscript, Web Development

University, College, Institution

Udacity

Course Skill Level

Intermediate

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Machine Learning

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udacity

Machine Learning

provided by Udacity

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Reviews

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Here you can find information, reviews and user experiences for the course “Machine Learning“. The provider of the course – “Udacity” – will be glad to answer any questions you may have about the class, click here to use the offical support channels. It would be great if you could share your experience of participating in the course – Your honest review will surely help others to choose the right class!

School: Udacity

Topic: Artificial Intelligence for Trading

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