Question 1

Why should I enroll?

Accepted Answer

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. This program is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day.

Question 2

What jobs will this program prepare me for?

Accepted Answer

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.

Question 3

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

Accepted Answer

This program assumes that you have had several hours of Python programming experience. Other than that, the only requirement is that you have a curiosity about machine learning. Do you want to learn more about recommendation systems or voice assistants and how they work? If so, then this program is right for you.

Question 4

What is the difference between Intro to Machine Learning with PyTorch, and Intro to Machine Learning with TensorFlow Nanodegree programs?

Accepted Answer

Both Nanodegree programs begin with the scikit-learn machine learning library, before pivoting to either PyTorch or TensorFlow in the Deep Learning sections. The only difference between the two programs is the deep learning framework utilized for Project 2. As such, there are accompanying lessons in each respective Nanodegree program that train you to develop machine learning models in that deep learning framework. You will complete the same project, Create an Image Classifier, in both Nanodegree programs - in PyTorch in Intro to Machine Learning with PyTorch, and in TensorFlow for Intro to Machine Learning with TensorFlow.

Question 5

Do I need to apply? What are the admission criteria?

Accepted Answer

No. This Nanodegree program accepts all applicants regardless of experience and specific background.

Question 6

What are the prerequisites for enrollment?

Accepted Answer

It is recommended that you have the following knowledge, prior to entering the program: Intermediate Python programming knowledge, including:At least 40hrs of programming experienceFamiliarity with data structures like dictionaries and listsExperience with libraries like NumPy and pandas is a plusBasic knowledge of probability and statistics, including:Experience calculating the probability of an eventKnowing how to calculate the mean and variance of a probability distribution is a plus

Question 7

If I do not meet the requirements to enroll, what should I do?

Accepted Answer

You can still succeed in this program, even if you do not meet the suggested requirements. There are a few courses that can help prepare you for the program. For example:Intro to Programming Nanodegree programAI Programming with Python

Question 8

Do I have to take the Intro to Machine Learning Nanodegree program before enrolling in the Machine Learning Engineer Nanodegree program?

Accepted Answer

No. Each program is independent of the other. If you are interested in machine learning, you should look at the prerequisites for each program to help you decide where you should start your journey to becoming a machine learning engineer.

Question 9

How is this Nanodegree program structured?

Accepted Answer

The Intro to Machine Learning Nanodegree program is comprised of content and curriculum to support three (3) projects. We estimate that students can complete the program in three (3) months, working 10 hours per week.Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

Question 10

How long is this Nanodegree program?

Accepted Answer

Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

Question 11

Can I switch my start date? Can I get a refund?

Accepted Answer

Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.

Question 12

I have graduated from the Intro to Machine Learning Nanodegree program, but I want to keep learning. Where should I go from here?

Accepted Answer

Many of our graduates continue on to our  Machine Learning Engineer Nanodegree program, and after that, to the  Self-Driving Car Engineer and Artificial Intelligence Nanodegree programs.

Question 13

What software and versions will I need in this program?

Accepted Answer

You will need a computer running a 64-bit operating system with at least 8GB of RAM, along with administrator account permissions sufficient to install programs including Anaconda with Python 3.x and supporting packages. Most modern Windows, OS X, and Linux laptops or desktop will work well; we do not recommend a tablet since they typically have less computing power. We will provide you with instructions to install the required software packages.

Intro to Machine Learning with PyTorch

Course Report

Course Features

Course Description

Highlights

Parameters

Module 1: Supervised Learning

Module 2: Deep Learning

Module 3: Unsupervised Learning

Course FAQs