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04-KLA-MLEARN - Machine Learning (MLEARN)
Machine Learning, supervised learning, unsupervised learning, smart robots, computer vision
Pre-Order
DURATION
4 days
LEVEL
Basic
OBJECTIVES
In this course, you will learn about the most effective machine learning techniques and gain practice implementing them and getting them to work. Moreover, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.
PREREQUISITES
Basic computer science knowledge.
WHO SHOULD ATTEND
Technicians and software developers that are in charge of planning and operating machine learning systems.
TOPICS
Introduction to machine learning
Regression
Classification
Supervised Learning
Unsupervised Learning
Best Practices in Machine Learning
Case Studies and Applications:
Smart Robots (Perception, Control)
Text Understanding (Web search, Antispam)
Computer Vision
Medical Informatics
Audio
Database Mining
