Description
Machine Learning Specializationis the name of a video training package in the field of machine learning science. The topic of machine learning has become very widespread today and is in fact a solution to progress towards a very high level of artificial intelligence. In this training course, you can strengthen your knowledge in the field of machine learning in a principled way by learning the most effective and key techniques and learning how to implement them, and familiarity with their application. In this course, the content has been prepared for you in theory and practice.
In this course and in specific chapters, you will begin to get acquainted with various concepts such as parametric and non-parametric algorithms, kernels, neural networks, and so on. You will also be able to build intelligent robots capable of understanding and controlling by watching this course and learning the basics of machine learning. This course is also designed and published for those who want to learn machine learning in a principled and completely practical way.
What you will learn in the Coursera Machine Learning training package:
- Machine learning from basic to advanced levels in a principled way
- Familiarity with techniques and practical skills in your real projects
- Learn the theoretical and practical aspects to improve skills
- Familiarity and understanding of the application of parametric and non-parametric algorithms
- Familiarity with neural networks and artificial intelligence in practice
- And…
Course details:
- Publisher: Coursera
- English language
- Duration: Assuming 8 hours of work per week, about 2 months
- Number of courses: 3
- Instructors: Andrew Ng, Eddy Shyu, Aarti Bagul, and Geoff Ladwig
- File format: mp4
- Course level: Introductory
- Provider Institution / University: DeepLearning.AI and Stanford University
Courses in Coursera Machine Learning:
Course 1
Supervised Machine Learning: Regression and Classification
Course 2
Advanced Learning Algorithms
Course 3
Unsupervised Learning, Recommenders, Reinforcement Learning
Machine Learning Specialization Pictures
Prerequisites for Coursera Machine Learning Specialization
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.
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
This educational set consists of 3 separate courses.
download link
Supervised Machine Learning: Regression and Classification
Advanced Learning Algorithms
Download Part 1 – 1 GB
Download Section 2 – 10 MB
file password link
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