Description
Machine Learning: Algorithms in the Real World Specialization is published by Coursera Academy. This specialization is for professionals who have heard the buzz about machine learning and want to apply machine learning to data analysis and automation. Whether in finance, medicine, engineering, business, or other fields, this specialization will set you up to define, train, and maintain a successful machine learning program. After completing all four courses, you will have gone through all the steps of building a machine learning project. You will be able to clearly define a machine learning problem, identify suitable data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to predict and mitigate common pitfalls in applied machine learning.
What you will learn
- Clearly define the ML problem
- Examine existing data sources and identify potential ML applications.
- Prepare data for ML applications
- Take a business need and turn it into a machine learning application.
Course Details Machine Learning: Algorithms in the Real World Specialization
- Publisher: Coursera
- Instructor: Anna Koop
- Language: English
- Education level: Intermediate
- Number of lessons: 4
- Training duration: 1 month, including 10 hours of work per week
Course Titles Machine Learning: Algorithms in the Real World Specialization
Course prerequisites
- We recommend a background in analytics, math (linear algebra, matrix multiplication), statistics and beginner level python programming.
Pictures
Sample video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Course 1 – Introduction to Applied Machine Learning
Course 2 – Machine Learning Algorithms: Supervised Learning Tip to Tail
Course 3 – Data for Machine Learning
Course 4 – Optimizing Machine Learning Performance
File size
2.79 GB
