Coursera – Machine Learning Specialization 2022-6 – Download

explanation

Machine Learning Specialization is a site-specific training package of four courses in machine learning provided by Coursera. Written by professors and researchers at the University of Washington, this book meets popular topics and the popularity of machine learning. While collecting research examples, major machine learning for practical topics include prediction. Sort, classify and retrieve the information and valuable experiences you have learned.

In this course, you will learn how large data sets and complex analysis requirements are. You can predict how the system you design will become better and more advanced over time, and what software Smart will develop will perform accurately and effectively with prompts based on existing data. The instructor of this course also offers Python programming, providing training in the creation process and providing many projects.

Here’s what you’ll learn in the Machine Learning specialization:

Knowledge of the basics of machine learning
Data-driven predictions
Classification and categories of information
data recovery
Intelligent System Design
Analyze large data sets

Features of the Machine Learning Specialization:

Language: English
Time required: 65 hours or more
Number of courses: –
Training level: Intermediate
Instructors: Emily Fox, Carlos Guestrin
File format: mp4

Course List:

Machine Learning Fundamentals: A Case Study Approach

Machine Learning: Regression

Machine Learning: Classification

Machine Learning: Clustering and Search

precondition

Must have experience with computer programming. Most of the assignments in this specialty use the Python programming language. This specialization is designed specifically for scientists and software developers who want to expand their skills with data science and machine learning, but is also suitable for anyone with basic math and programming skills and an interest in deriving intelligence from data.