Introduction to Machine Learning with Pytorch
What you'll learn
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Demonstrate proficiency with practical projects
Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
- Gain proven experience
- Retain knowledge longer
- Apply new skills immediately
Facilitators.
Josh Bernhard
Staff Data Scientist
Mat Leonard
Content Developer
Jennifer Staab
Instructor
Dan Romuald Mbanga
Instructor
Cezanne Camacho
Curriculum Lead
Jay Alammar
Instructor
Luis Serrano
Instructor
Monthly Subscription
$249
4-Month Bundle*
Avg. time for a Nanodegree
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40% off, one week only.
This course includes
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
- Python for data science
- Basic supervised machine learning
- Intermediate Python
- Linear algebra
- Basic descriptive statistics
- Basic probability
- You will also need to be able to communicate fluently and professionally in written and spoken English.
