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Fundamentals of Machine Learning for Software Engineers

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level

Beginner

Duration

15h

Lessons

93 Lessons

Category:

The course will help you understand machine learning fundamentals by diving into theoretical concepts and algorithms of machine learning.

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Machine learning is the future for the next generation of software professionals.

This course serves as a guide to machine learning for software engineers. You’ll be introduced to three of the most relevant components of the AI/ML discipline; supervised learning, neural networks, and deep learning. You’ll grasp the differences between traditional programming and machine learning by hands-on development in supervised learning before building out complex distributed applications with neural networks. You’ll go even further by layering networks to create deep learning systems. You’ll work with complex real-world datasets to explore machine behavior from scratch at each phase.

By the end of this course, you’ll have a working knowledge of modern machine learning techniques. Using software engineering, you’ll be prepared to build complex neural networks and wrangle real-world data challenges.

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Fundamentals of Machine Learning for Software Engineers
Fundamentals of Machine Learning for Software Engineers
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