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About the Creator
Aniththa Umamahesan
With a steadfast dedication to empowering those around me and a firm belief in giving back, my journey has been shaped by a commitment to making a positive impact. My career has seamlessly blended technology and business, driving innovation and enabling individuals to excel. At Amazon, as a Senior Technical Program Manager in the Demand Forecasting team, I've led the delivery of cutting-edge machine learning solutions to optimize inventory planning and enhance supply chain operations. My academic foundation from the University of Waterloo in Computing and Financial Management underpins my dual expertise in technical and business domains, fueling my passion for machine learning and product management. Beyond my technical pursuits, I've engaged in diverse digital marketing channels, including TV hosting, comprehensive reporting, and social media, refining my communication skills and amplifying my advocacy for customer needs.
Who is this course for
This course is ideal for anyone interested in gaining foundational knowledge in machine learning and Azure Machine Learning Studio. Whether you are:
Aspiring Data Scientists: Looking to start your journey in machine learning with a solid understanding of both theory and practical application.
Software Developers: Interested in integrating machine learning capabilities into your projects using Azure's powerful tools.
IT Professionals: Seeking to expand your skill set with machine learning techniques and Azure’s managed services.
Business Analysts: Who want to learn how to apply machine learning to data-driven decision-making processes.
Students and Recent Graduates: Eager to explore machine learning and gain hands-on experience with industry-leading technologies.
Professionals Transitioning to Data Science: Looking to shift your career focus to machine learning with a structured introduction to essential concepts and tools.
Overview
Introduction to Machine Learning with Azure offers a comprehensive entry into the world of machine learning using Azure Machine Learning Studio. This course covers essential aspects of machine learning, from fundamental concepts to practical applications and responsible AI practices. You'll learn how to train, validate, and evaluate models, while gaining hands-on experience with data importation, transformation, and management. Designed for beginners with no prior experience required, this course is a valuable resource for those looking to harness the power of Azure in their machine learning projects. Note that access to Azure Machine Learning Labs is limited to a set number of students.
Course Highlights
High-Level Introduction: Start with a broad overview of machine learning concepts and quickly train your first model using Azure Machine Learning Studio.
Data Preparation: Learn the essential steps of data preparation and transformation to build effective machine learning models.
Model Training Techniques: Explore both supervised and unsupervised learning methods, including classification, regression, clustering, and more.
Applications of Machine Learning: Discover key applications such as deep learning, text classification, anomaly detection, and feature learning.
Managed Services: Understand how to leverage Azure’s managed services for efficient ML processes, including automation and computing resources.
Responsible AI: Address the ethical considerations and principles for creating responsible AI solutions.
Hands-On Labs: Gain practical experience with Azure Machine Learning Labs, which offer interactive exercises for data management and model evaluation.
Expert Instruction: Learn from top industry professionals, including program managers from Microsoft and chief data scientists from Solliance.