Description
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.
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Taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI, this 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation.
By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start. The program is designed for beginners and requires only basic coding knowledge and high school-level math.
The Specialization consists of three courses, and at the rate of 5 hours per week, it will take approximately 10 weeks to complete all courses. Learners will build machine learning models using Python and popular libraries such as NumPy and scikit-learn, and will learn to apply best practices for machine learning development. Additionally, the program includes practical projects that allow learners to apply their skills in real-world scenarios, making it an excellent choice for those looking to enhance their career prospects in the field of AI.
- CategoryCorporate Training & E-Learning
- Pricing ModelSubscription
Machine Learning Specialization's Core Features
Course Count: 3
Skill Level: Beginner
Certificate Offered: Yes
Pricing Model: Subscription
Instructor: Andrew Ng
Duration Estimate: 10 weeks
Programming Language: Python
Learning Tools: NumPy, scikit-learn, TensorFlow
How to use Machine Learning Specialization?
Enroll: Choose the Machine Learning Specialization on Coursera.
Learn: Engage with course materials and complete assignments.
Practice: Apply concepts through hands-on projects.
Complete: Finish all three courses to earn your certificate.
Machine Learning Specialization's Use Cases
- Career Development
- AI Applications
- Data Analysis
- Predictive Modeling
- Recommender Systems
