Overview
Master supervised, unsupervised, and deep learning techniques through projects involving customer segmentation and image classification. Join this Introduction to Machine Learning with Pytorch programme at Udacity .
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
Introduction to Neural Networks with PyTorch
- Gradient descent
- AI algorithms in Python
- Training neural networks
- NumPy
- Backpropagation
- Overfitting prevention
- Deep learning fluency
- PyTorch
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Supervised Learning
- Neural Networks with PyTorch
- Unsupervised Learning
- Python for Data Analysis
- Prerequisite: SQL for Data Analysis
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 days
- Flexible
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Machine Learning View 273 other preparation in Machine Learning in United StatesExplore more key information
Visit programme websiteWhat students do after studying
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
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.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents499 USD / full≈ 499 USD / full - Out-of-State499 USD / full≈ 499 USD / full
-
Domestic
Applies to youIn-State499 USD / full≈ 499 USD / full
Additional Details
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
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.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility