Descriptions
Introduction to Machine Learning, This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. In addition, we have designed practice exercises that will give you hands-on experience implementing these data science models on data sets. These practice exercises will teach you how to implement machine learning algorithms with PyTorch, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more).
What you’ll learn
- Convolutional Neural Network
- Python Programming
- Machine Learning
- pytorch
- Natural Language Processing
Specificatoin of Introduction to Machine Learning
- Publisher : Coursera
- Teacher : Lawrence Carin
- Language: English
- Level : All Levels
- Lectures : 6
- Duration : 3 weeks at 10 hours a week
Content of Introduction to Machine Learning
Requirements
- Some related experience required
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
The 2026/1 version has decreased the number of lessons by NaN the duration decreased by compared to 2024/3.
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
1.34 GB
