Build Decision Trees, SVMs, and Artificial Neural Networks

Overview

Discover the final frontier in machine learning algorithms in our comprehensive course, "Build Decision Trees, SVMs, and Artificial Neural Networks," offered exclusively on Coursera. This intensive program marks the culmination of the Certified Artificial Intelligence Practitioner (CAIP) series, a professional certificate aimed at expanding your expertise across a broad range of machine learning and deep learning techniques.

Dive deep into the workings of decision trees, support-vector machines (SVMs), and the advanced realm of artificial neural networks (ANNs), each pivotal for tackling complex regression and classification challenges. Understand the distinctive applications and nuances of these algorithms to enhance your toolkit for selecting the optimal solution for diverse business problems.

Throughout this course, you'll gain hands-on experience in constructing multiple models tailored to address real-world business scenarios, all within a structured workflow.

This journey through the landscape of machine learning and deep learning algorithms is not just about theory but about applying these models to solve problems effectively. By the end of this course, you'll have a solid understanding of these sophisticated algorithms and the confidence to apply your knowledge in practical settings.

Enroll now and take the final step towards mastering the art and science of machine learning and deep learning with Coursera.

Categories:

Machine Learning Courses, Deep Learning Courses, Neural Networks Courses.

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Taught by

Stacey McBrine

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Subjects