3 months
Duration
1017 USD/full
1017 USD/full
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms with this Intro to Machine Learning with PyTorch course at Udacity.

Visit the official programme website for more information

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Overview

Machine learning is changing countless industries, from health care to finance to market predictions. Currently, the demand for machine learning engineers far exceeds the supply. In this program, you’ll apply machine learning techniques to a variety of real-world tasks, such as customer segmentation and image classification. 

Intro to Machine Learning with PyTorch course at Udacity  is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day.

Career:

This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks. It is designed for people who are new to machine learning and want to build foundational skills in machine learning algorithms and techniques to either advance within their current field or position themselves to learn more advanced skills for a career transition.

Key information

Duration

  • Part-time
    • 3 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

This Nanodegree program accepts all applicants regardless of experience and specific background.

It is recommended that you have the following knowledge, prior to entering the program:

Intermediate Python programming knowledge, including:

  • At least 40hrs of programming experience
  • Familiarity with data structures like dictionaries and lists
  • Experience with libraries like NumPy and pandas is a plus

Basic knowledge of probability and statistics, including:

  • Experience calculating the probability of an event
  • Knowing how to calculate the mean and variance of a probability distribution is a plus

Tuition Fee

To alway see correct tuition fees
  • International

    1017 USD/full
    Tuition Fee
    Based on the tuition of 1017 USD for the full programme during 3 months.
  • National

    1017 USD/full
    Tuition Fee
    Based on the tuition of 1017 USD for the full programme during 3 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

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Intro to Machine Learning with PyTorch
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