Name: Intro to Machine Learning with Tensorflow
Rating: 5 (6 reviews)

Question 1

Why should I sign up?

Accepted Answer

Machine learning is revolutionizing many industries, including finance, health care and market prediction. The demand for machine-learning engineers is far greater than the supply. This program will teach you how to apply machine learning techniques in real-world situations such as image classification and customer segmentation. This program will teach you the foundational machine-learning skills data scientists and machine-learning engineers use every day.

Question 2

What are the jobs this program will prepare me for?

Accepted Answer

This program focuses on practical coding skills, which demonstrate your ability apply machine learning techniques in a variety business and research situations. This program is for those who are new to machine-learning and wish to acquire foundational skills in machine-learning algorithms and techniques.

Question 3

How can I tell if this program suits me?

Accepted Answer

This program assumes you have some programming experience in Python. The only thing that is required is that you are curious about machine learning. Are you interested in learning more about voice assistants or recommendation systems and how they work? This program is for you.

Question 4

What's the difference between Intro To Machine Learning with TensorFlow and Intro To Machine Learning With PyTorch?

Accepted Answer

Both Nanodegree programs start with the scikitâ€“learn machine-learning library. Then, they pivot to TensorFlow or PyTorch in the Deep Learning sections. Project 2 uses a different deep learning framework than the other programs. The only difference between the two programs is the deep learning framework used for Project 2. There are lessons that accompany each Nanodegree program to help you develop machine learning models using that deep learning framework. The same project, Create an Image Classifier will be completed in both Nanodegree programs: in PyTorch for Intro To Machine Learning With PyTorch and in TensorFlow to Intro To Machine Learning With TensorFlow.

Question 5

What are the requirements to apply? What admission criteria do you apply for?

Accepted Answer

No. No.

Question 6

What are the requirements 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

What should I do if I don't meet the enrollment requirements?

Accepted Answer

Even if you don't meet the required requirements, you can still be successful in this program. A few courses can prepare you for this program. You can take, for example, the Intro to Programming Nanodegree programAI Programming With Python

Question 8

Do I need to complete the Intro to Machine Learning Nanodegree before enrolling in Machine Learning Engineer Nanodegree?

Accepted Answer

No. No. Each program can be used independently of the others. To help you choose where to start your journey towards becoming a machine-learning engineer, it is important to review the prerequisites of each program.

Question 9

How is the Nanodegree program organized?

Accepted Answer

The Intro to Machine Learning Nanodegree program consists of curriculum and content to support three (3) projects. The program can be completed in three (3) months by students working 10 hours per day. Each project will be reviewed and approved by the Udacity reviewer group. You will receive feedback and be asked to submit the project again if it fails.

Question 10

What is the length of this Nanodegree program?

Accepted Answer

The Nanodegree program is available for the duration of the payment card. You can continue your education with monthly payments if you don't graduate within the time frame. For more information on accessing our Nanodegree programs, please refer to the FAQs and Terms of Use.

Question 11

Can I change my start date? Can I get a full refund?

Accepted Answer

For policies regarding enrollment in our programs, please refer to the Udacity Program Terms and Use and FAQs.

Question 12

I am a graduate of the Intro to Machine Learning Nanodegree Program, but I still want to learn. What should I do next?

Accepted Answer

Many of our graduates go on to the Machine Learning Engineer Nanodegree program and then to the Self-Driving Car Engineer or Artificial Intelligence Nanodegree programs.

Question 13

What software versions and software will I need for this program?

Accepted Answer

A 64-bit operating system, at least 8GB RAM, and administrator account permissions are required to install Anaconda 3.x and other supporting packages. The majority of modern Windows, OS X and Linux laptops, or desktops, will work. We don't recommend a tablet as they have lower computing power. We will give you instructions on how to install the software packages.

Intro to Machine Learning with Tensorflow

Module 1: Supervised Learning

Module 2: Deep Learning

Module 3: Unsupervised Learning

Course FAQs