Description
Coursera Machine Learning, name of the training video series in the field of science learn machine. Topic machine learning nowadays is very wide and, in fact, the solution to progress towards artificial intelligence at a very high level to account comes. In this course you will learn the most effective and the most key techniques and learn how to run, and familiarity with the application, it can your knowledge in the field of machine learning to form a principled strengthen you. In this course contents are Theory and practical, is prepared for you.
You are on the course and at the head of the season, and marked the start to be familiar with the concepts of several such algorithms, parametric and non-parametric, etc. cores, neural networks, etc., you will. You also watch this course and learn the principles and basics of machine learning able to build robots of intelligence, that of the ability to understand and control the generations. you will be. This course is also for enthusiasts who intend to machine learning as a principled and quite practical, learn design and is published.
What you will learn in Machine Learning Specialization:
- Machine learning from basic level to advanced, to shape the normative
- Familiarity with the techniques and practical skills in real projects, you
- Learn from the aspect of theory and practice to improve skills
- Familiarity and understanding of the application of the algorithm parametric and non-parametric
- Introduction to neural networks and artificial intelligence as a practical
- And…
Machine Learning Specialization Specification:
- Publisher : Coursera
- Language : English
- Duration : Approximately 2 months to complete – Suggested pace of 10 hours/week
- Number of Courses: 3
- Instructor : Andrew Ng, Eddy Shyu, Aarti Bagul and Geoff Ladwig
- File format : mp4
- University/Institute: DeepLearning.AI and Stanford University
- Level: Beginner
Courses Included:
Images
Sample movie Coursera Machine Learning
Installation guide
After the Extract with the Player your custom view.
Subtitles: English
Quality: 720p
The Machine Learning Specialization is made up of 3 courses.
Changes:
On December 13, 2022, the Advanced Learning Algorithms (Course 2) replaced the previous version with 3 new lessons from the second week.
On July 5, 2023, the Unsupervised Learning, Recommenders, Reinforcement Learning (Course 3) replaced the previous version with 3 new lessons from the second week.
The version of 2024/10 compared to 2023/6 has increased the number of 3 videos and the duration of 2 minutes.
Version 2025/1 has increased the time by about 1 minute compared to 2024/10. Also, 9 text files have been reduced.
Download link
Course 1 – Supervised Machine Learning: Regression and Classification
Download Extras (Jupyter Notebooks, Python Scripts & …)
Course 2 – Advanced Learning Algorithms
Download Extras (Jupyter Notebooks, Python Scripts & …)
Course 3 – Unsupervised Learning, Recommenders, Reinforcement Learning
Download Extras (Jupyter Notebooks, Python Scripts & …)
Password file(s): www.downloadly.ir
File size
3.16 GB
15 Comments. Leave new
can you update please
Hi
No change
Thanks soooo much jazakumallahu keyran downloadly have gave me a lot of knowledge beacuse of them it would be impossible to get this courses thanks Soo much
Maybe this link is helpfully to get the extras:
https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera
Thank you downloadly for the extras you just uploaded !!, looking forward to see the extras for other parts of the course!!
The last part for this course has just been released today, can you update it please
Hi
Added
Seems like labs were code are implemented are missing, would it be possible to add them?
It is not downloadable
Dear brother Its downloadable, we can open a lab and then download it by using “File” menu.
Yes, only if you “can” open a lab. Notebooks (or as you say, labs) are not free to access; at least not in this course.
That is true, they are not free to access 🙂
Still… bundle of thanks for at least considering it. 🙂
Oh my god thank you Downloadly
Would it be possible to get the notebooks as well…?
Thanks
Notebooks?
All downloadable files are included