Applied Machine Learning
About this Specialization
This specialization is intended for post-graduate students seeking to develop practical machine-learning skills applicable across various domains. Through three comprehensive courses, learners will explore core techniques including supervised learning, ensemble methods, regression analysis, unsupervised learning, and neural networks. The courses emphasize hands-on learning, providing you with the opportunity to apply machine learning to real-world problems like image classification, data feature extraction, and model optimization.\\n\\nYou will dive into advanced topics such as convolutional neural networks (CNNs), reinforcement learning, and apriori analysis, learning to leverage the PyTorch framework for deep learning tasks. By the end of the specialization, you will be well-equipped to handle complex machine learning challenges in fields like computer vision and data processing, making you a valuable asset in industries requiring advanced predictive modeling, AI-driven solutions, and data-driven decision-making. This specialization is designed to build both theoretical knowledge and practical skills to thrive in the ever-evolving tech landscape.Created by: Johns Hopkins University
Related Online Courses
Welcome to The Payroll Cycle, the second course in ADP\'s Entry-level Payroll Specialist Professional Certificate program. This course explores the end-to-end payroll processing cycle, from data... more
This comprehensive course provides a deep dive into Express.js, a robust web application framework for Node.js. Participants will master fundamental concepts, architecture, and the step-by-step... more
The Network Automation Engineering Fundamentals Specialization takes mid- to expert-level network engineers through the primary topics of network automation and programmability and prepares them... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you\'ll learn how to use BigQuery to create machine learning models for datasets to create a model that predicts... more
Explore the transformative potential of artificial intelligence in the marketing landscape. This course is designed to help you distinguish between the opportunities for developing new AI... more