Deep Learning

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Technologies and platforms for Artificial Intelligence (Coursera) Coursera
Politecnico di Milano

Technologies and platforms for Artificial Intelligence (Coursera)

Dive into this comprehensive course that covers essential hardware technologies for machine and deep learning. Learn about different families of machine and deep learning platforms, including libraries and frameworks, to enhance your skills in designing and developing smart applications and systems.

Jul 20th 2026
4 Weeks
Supervised Text Classification for Marketing Analytics (Coursera) Coursera
University of Colorado Boulder

Supervised Text Classification for Marketing Analytics (Coursera)

Dive into the world of supervised machine learning with our 'Supervised Text Classification for Marketing Analytics' course. Learn how to effectively categorize and label vast amounts of marketing data using deep learning techniques. Gain hands-on experience through Python tutorials and apply what you've learned in a major project.

Jul 20th 2026
4 Weeks
Machine Learning Introduction for Everyone (Coursera) Coursera
IBM

Machine Learning Introduction for Everyone (Coursera)

Embark on a journey into the world of Machine Learning with our beginner-friendly course. Over three engaging modules, you'll explore the history, applications, and core concepts of machine learning, including supervised vs unsupervised learning, classification, regression, and model evaluation. Ideal for those new to data science looking to build a strong foundation.

Jul 20th 2026
3 Weeks
Machine Learning at the Edge on Arm: A Practical Introduction (edX) EdX
Arm Education,ArmEducationX

Machine Learning at the Edge on Arm: A Practical Introduction (edX)

Embark on a journey into the future of machine learning with 'Machine Learning at the Edge on Arm: A Practical Introduction'. This course is designed for tech enthusiasts and professionals looking to harness the power of edge computing and Arm-based microcontrollers. Learn how to create cutting-edge ML applications that process data locally, enhancing efficiency and privacy.

Self Paced
Self-Paced
Recommender Systems (Coursera) Coursera
Sungkyunkwan University - SKKU

Recommender Systems (Coursera)

Discover how to create effective recommendation systems that enhance user experiences and drive engagement on platforms like e-commerce sites, streaming services, and social media. This course covers the fundamentals of Recommender Systems, including Collaborative Filtering techniques and advanced applications using Deep Learning. Whether you're a developer, data scientist, or product manager, this course will equip you with the skills to design and implement personalized recommendation algorithms.

Jul 20th 2026
4 Weeks
Machine Learning Use Cases in Finance (edX) EdX
Université de Montréal,UMontrealX

Machine Learning Use Cases in Finance (edX)

Explore the transformative power of Machine Learning in the world of finance with this exclusive edX course. Designed for data scientists, analysts, and professionals in banking and insurance, this course delves into real-world use cases where machine learning has made a significant impact. From risk assessment to personalized financial advice, understand how ML is reshaping the financial landscape.

Self Paced
Self-Paced
AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX) EdX
Delft University of Technology,DelftX

AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX)

Discover the core concepts of artificial intelligence with our Introduction to Unsupervised, Deep, and Reinforcement Learning course. This edX offering provides a solid foundation in clustering, dimensionality reduction, deep learning, and reinforcement learning techniques, empowering you to solve complex real-world challenges using AI. Whether you're new to machine learning or looking to expand your expertise, this course is designed for learners at all levels.

Self Paced
Self-Paced
Statistical Learning with Python (edX) EdX
StanfordOnline

Statistical Learning with Python (edX)

Discover the essential tools of statistical modeling and data science through this comprehensive course. Explore both classic and cutting-edge methods and learn how to apply them using Python's powerful capabilities. Whether you're new to the field or looking to deepen your expertise, this course offers a blend of theory and practical application that will equip you with the skills needed for real-world analysis.

Self Paced
Self-Paced