Description
Machine Learning Literacy, a machine learning literacy course published by Pluralsight Academy. Machine learning is the use of algorithms and mathematical models by software systems to gradually improve their performance in 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 suitable for machine learning and apply techniques to simplify large data sets.
What you will learn
- Machine learning workflow (data sourcing – data cleaning – data preparation – data modeling and training – model evaluation – deployment – monitoring and maintenance)
- Common data models
- Common techniques used in machine learning (reinforcement learning, model validation strategies, etc.)
Specifications of the Machine Learning Literacy course
- Publisher: Pluralsight
- teacher : Mohammed Osman
- English language
- Education level: all levels
- Number of courses: 5
- Training duration: 15 hours and 45 minutes
Chapters of the Machine Learning Literacy course
Course prerequisites
- Data Literacy
- Data Analytics Literacy
- Statistics
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.32 GB
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