Description
Coursera Machine Learning is the name of a video training series in the field of machine learning. The topic of machine learning has become very widespread today and is actually considered a solution for progressing towards artificial intelligence at a very high level. In this training course, you can strengthen your knowledge of machine learning in a fundamental way by learning the most effective and key techniques and learning how to implement and familiarize yourself with their application. In this course, the material has been prepared for you in a theoretical and practical way.
In this course, you will begin to familiarize yourself with various concepts such as parametric and non-parametric algorithms, kernels, neural networks, etc. In specific chapters, you will also learn the principles and foundations of machine learning, which will enable you to build intelligent robots that have the ability to understand and control. This course is also designed and published for those interested in learning machine learning in a fundamental and completely practical way.
What you will learn in the Coursera Machine Learning course:
- Machine learning from basic to advanced level in a principled manner
- Familiarity with practical techniques and skills in your real projects
- Learning theoretical and practical content to improve skills
- Familiarity and understanding of the application of parametric and non-parametric algorithms
- Practical introduction to neural networks and artificial intelligence
- And…
Course details:
- Publisher: Coursera
- Language: English
- Duration: Approximately 2 months, assuming 10 hours of work per week.
- Number of courses: 3
- Instructor: Andrew Ng , Eddy Shyu, Aarti Bagul and Geoff Ladwig
- File format: mp4
- Course level: Beginner
- Provider: DeepLearning.AI and Stanford University
Courses available in the Coursera Machine Learning training suite:
Pictures
Coursera Machine Learning Course Prerequisites
What background knowledge is necessary for the Machine Learning Specialization?
Learners should understand basic coding (for loops, functions, if/else statements) and high school-level math (arithmetic, algebra). Any additional math concepts will be explained along the way.
Who is the Machine Learning Specialization for?
The Machine Learning Specialization is a beginner-level program aimed at those new to AI and looking to gain a foundational understanding of machine learning models and real-world experience building systems using Python.
This specialization is suitable for learners with some basic knowledge of programming and high-school level math, as well as early-stage professionals in software engineering and data analysis who wish to upskill in machine learning.
Coursera Machine Learning sample video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
This training series consists of 3 separate courses.
Changes:
On September 17, 1401, the Advanced Learning Algorithms course replaced the previous version with a new subtitle.
On December 12, 1401, the Advanced Learning Algorithms course replaced the previous version with 3 new lessons from the second week.
On July 14, 1402, the Unsupervised Learning, Recommenders, Reinforcement Learning course replaced the previous version with 3 new lessons from the second week.
The 10/2024 version has increased the number of videos by 3 and the duration by 2 minutes compared to the 6/2023 version.
Version 2025/1 has increased the time by about 1 minute compared to 2024/10. Also, 9 text files have been reduced.
File size
3.16 GB
Download link
You are unauthorized to view this page.
