Coursera – Machine Learning: Algorithms in the Real World Specialization 2025-1

Machine Learning: Algorithms in the Real World Specialization, This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application. After completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.

What you’ll learn

• Clearly define an ML problem
• Survey available data resources and identify potential ML applications
• Prepare data for effective ML applications
• Take a business need and turn it into a machine learning application

Specificatoin of Machine Learning: Algorithms in the Real World Specialization

• Publisher : Coursera
• Teacher : Anna Koop
• Language : English
• Level : Intermediate
• Number of Course : 4
• Duration : 1 month at 10 hours a week

Content of Machine Learning: Algorithms in the Real World Specialization

Requirements

• We recommend a background in analytics, math (linear algebra, matrix multiplication), statistics and beginner level python programming.

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Course 1 – Introduction to Applied Machine Learning

Download – 752 MB

Course 2 – Machine Learning Algorithms: Supervised Learning Tip to Tail

Download – 616 MB

Course 3 – Data for Machine Learning

Download – 898 MB

Course 4 – Optimizing Machine Learning Performance

Download – 593 MB

File size

2.79 GB