Published on: 2024-10-16 22:13:49
Categories: 28
Share:
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.
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.
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 & …)
3.3 GB
Sharing is caring: