Descriptions
Practical Machine Learning: Foundations to Neural Networks Specialization, Offered by Dartmouth College. Advance your career with Machine Learning. Take your machine learning knowledge from theory to practical application with this specialization. You will learn foundational concepts, algorithms, and techniques, including supervised and unsupervised learning, neural networks, and deep learning. Through hands-on projects and real-world examples, you will gain practical skills to build, evaluate, and deploy machine learning models for a variety of applications.
What you’ll learn
- Understand foundational concepts and algorithms in machine learning
- Apply supervised and unsupervised learning techniques
- Build and evaluate neural networks and deep learning models
- Gain practical experience through hands-on projects
- Deploy machine learning models for real-world applications
Who this course is for
- Students and professionals interested in machine learning
- Software engineers and data scientists seeking practical ML skills
- Anyone aiming to build and deploy machine learning models
Specificatoin of Practical Machine Learning: Foundations to Neural Networks Specialization
- Publisher : Coursera
- Teacher : Peter Chin
- Language : English
- Level : Intermediate
- Number of Course : 3
- Duration : 3 months to complete at 8 hours a week
Content of Practical Machine Learning: Foundations to Neural Networks Specialization
Requirements
Intermediate level
Probability and statistics
Multivariable calculus
Linear algebra
Prior programming experience
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Course 1 – Foundations for Machine Learning
Course 2 – Machine Learning Fundamentals
Course 3 – Machine Learning with Neural Networks
Password file(s): www.downloadly.ir
File size
3.5 GB
