Descriptions
Introduction to Machine Learning, The Courses will give you a fundamental understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) and demonstrate how these models can solve complex problems in a wide range of industries, from medical diagnostics to image recognition to text prediction. In addition, we have developed practice labs that give you hands-on experience implementing these data science models on datasets. In these practice labs, you will learn how to implement machine learning algorithms using PyTorch, open source libraries used by leading technology companies in the machine learning space (e.g. Google, NVIDIA, CocaCola, eBay, Snapchat, Uber, and many more).
What you will learn
- folding Neural network
- python programming
- machine Learn
- Pytorch
- naturally Speech processing
Introduction to Machine Learning Specifications
- Publisher : Coursera
- Teacher: Lawrence Carin
- Language: English
- Level: Intermediate
- Number of courses: 6
- Duration: 3 weeks, 8 hours per week
Contents of the Introduction to Machine Learning
Requirements
- some relevant experience required
Pictures
Sample clip
installation Guide
Extract the files and watch them with your favorite player
Subtitles: English
Quality: 720p
Download links
Password file(s): free download software
File size
1.35GB