Overview

The Introduction to Machine Learning with Pytorch program at Udacity includes three courses and covers topics such as linear regression, logistic regression, decision trees, Naive Bayes, support vector machines, neural networks, and clustering.

The courses include projects that allow learners to apply these techniques to real-world problems, such as identifying potential donors for a charity and clustering customers based on their spending habits. The program uses Python and PyTorch for implementation and includes lessons on model evaluation and tuning.

Nanodegree Skills

Supervised Learning

Naive bayes classifiers • Model evaluation • Support vector machines • Decision trees • Convolutional kernels • scikit-learn • Perceptron • Categorical data visualization • Statistical modeling fundamentals • Chart types • Quantitative data visualization • Linear regression • Spam detection • Logistic regression • Professional presentations • Hyperparameter tuning

Introduction to Neural Networks with PyTorch

Gradient descent • AI algorithms in Python • Training neural networks • NumPy • Backpropagation • Overfitting prevention • Deep learning fluency • PyTorch

Unsupervised Learning

Gaussian mixture models • Single linkage clustering • K-means clustering • Dimensionality reduction • Market segmentation • Cluster models • Principal component analysis • Independent component analysis • Dbscan

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Programme Structure

Courses include:

Supervised Learning

Neural Networks with PyTorch

Unsupervised Learning

Python for Data Analysis

Prerequisite: SQL for Data Analysis

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Key information

Duration

Part-time
- 2 months
- Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

Mountain View, United States

Disciplines

Computer Sciences Machine Learning View 313 other programmes in Machine Learning in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

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

Other requirements

General requirements

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

Multivariable calculus
Data wrangling
Python for data science
Basic supervised machine learning
Intermediate Python
Linear algebra
Basic descriptive statistics
Basic calculus
Basic probability

You will also need to be able to communicate fluently and professionally in written and spoken English.

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Tuition Fee

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International

249 USD/module

Tuition Fee

Based on the tuition of 249 USD per module during 2 months.
National

249 USD/module

Tuition Fee

Based on the tuition of 249 USD per module during 2 months.
In-State

249 USD/module

Tuition Fee

Based on the tuition of 249 USD per module during 2 months.

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Introduction to Machine Learning with Pytorch.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

About

Overview

Nanodegree Skills

Get more details

Programme Structure

Check out the full curriculum

Key information

Duration

Start dates & application deadlines

Language

Delivered

Campus Location

Disciplines

Explore more key information

What students do after studying

Academic requirements

English requirements

Other requirements

General requirements

Make sure you meet all requirements

Tuition Fee

International

National

In-State

Funding

Scholarships Information

Available Scholarships

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