Descriptions
Machine Learning Literacy, Machine Learning is the application of algorithms and mathematical models by software system to progressively improve their performance on a specific task. This skill covers the workflows, modeling techniques, and strategies behind any machine learning solution.
Learn how feature engineering fits into the machine learning workflow, and build your first features from numerical data
Transform nominal data, such as names or categories, into features appropriate for machine learning, and apply techniques for simplifying large data sets
What you’ll learn
- The machine learning workflow (data sourcing -> data cleaning -> data preparing -> data modeling and training -> model evaluation -> deployment -> monitoring & maintenance )
- Commonly employed data models
- Common techniques employed in machine learning (reinforcement learning, model validation strategies, etc)
Specificatoin of Machine Learning Literacy
- Publisher : Pluralsight
- Teacher : Mohammed Osman
- Language : English
- Level : All Levels
- Number of Course : 5
- Duration : 15 hours and 45 minutes
Content of Machine Learning Literacy
Requirements
- Data Literacy
- Data Analytics Literacy
- Statistics
Pictures
Sample Clip
Video Player
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Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Password file(s): www.downloadly.ir
File size
1.32 GB
