Overview
This Machine Learning Specialization is offered by Coursera in partnership with Deeplearning. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
What you'll learn
- Build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression)
- Build & train a neural network with TensorFlow to perform multi-class classification, & build & use decision trees & tree ensemble methods
- Apply best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering & anomaly detection
- Build recommender systems with a collaborative filtering approach & a content-based deep learning method & build a deep reinforcement learning model
Skills you'll gain
- Machine Learning
- Machine Learning Algorithms
- Applied Machine Learning
- Algorithms
- Deep Learning
- Artificial Neural Networks
- Human Learning
- Python Programming
- Regression
- Mathematics
Programme Structure
Courses included:
- Supervised Machine Learning: Regression and Classification
- Advanced Learning Algorithms
- Unsupervised Learning, Recommenders, Reinforcement Learning
Key information
Duration
- Part-time
- 2 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Artificial Intelligence Machine Learning View 127 other Short Courses in Artificial Intelligence in United StatesWhat 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
- Beginner level
Recommended experience
- Basic coding (for loops, functions, if/else statements) & high school-level math (arithmetic, algebra)
- Other math concepts will be explained
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.