Machine Learning

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Data Analytics Foundations for Accountancy II (Coursera) Coursera
University of Illinois at Urbana-Champaign

Data Analytics Foundations for Accountancy II (Coursera)

Embark on a journey to transform how you approach accounting with 'Data Analytics Foundations for Accountancy II'. This course is designed for aspiring and professional accountants who want to harness the power of data analytics to drive better decision-making in their financial practices. Learn from industry experts, apply real-world scenarios, and gain the skills needed to stand out in today's data-driven business environment.

Sep 21st 2026
5-12 Weeks
Advanced Deployment Scenarios with TensorFlow (Coursera) Coursera
DeepLearning.AI

Advanced Deployment Scenarios with TensorFlow (Coursera)

Dive into the complexities of bringing your machine learning models from development to deployment with 'Advanced Deployment Scenarios with TensorFlow'. This course, part of a comprehensive specialization on Coursera, will guide you through four distinct real-world deployment scenarios, equipping you with essential skills to train and implement your models effectively.

Sep 21st 2026
4 Weeks
Artificial Intelligence Privacy and Convenience (Coursera) Coursera
LearnQuest

Artificial Intelligence Privacy and Convenience (Coursera)

Dive into the world of Artificial Intelligence Privacy and Convenience, where we unravel the complexities involved in securing and maintaining privacy within machine learning projects. This course will equip you with essential knowledge and skills to navigate the challenges of balancing user privacy and system convenience in AI applications.

Sep 21st 2026
3 Weeks
Natural Language Processing with Attention Models (Coursera) Coursera
DeepLearning.AI

Natural Language Processing with Attention Models (Coursera)

Dive into the world of Natural Language Processing with our expert-led course on Attention Models. Whether you're a budding data scientist or an experienced software engineer, this course will equip you with the skills to understand and implement advanced NLP techniques using attention models. Start your journey towards mastering natural language understanding today!

Sep 21st 2026
4 Weeks
Fundamentals of TinyML (edX) EdX
HarvardX,Harvard University

Fundamentals of TinyML (edX)

Dive into the basics of machine learning applied to tiny devices with our Fundamentals of TinyML course. Gain a solid foundation in this emerging technology that's revolutionizing embedded systems such as wearables and IoT gadgets. Learn from experts and start your journey into the fascinating world of Tiny Machine Learning.

Self Paced
Self-Paced
Advanced Recommender Systems (Coursera) Coursera
EIT Digital

Advanced Recommender Systems (Coursera)

Discover how to use cutting-edge machine learning methods to create powerful recommender systems in our Advanced Recommender Systems course. This course will guide you through the intricacies of building advanced models that leverage user data to provide personalized recommendations. Learn about hybrid approaches, factorization machines, and optimizing your system for improved accuracy.

Sep 21st 2026
5-12 Weeks
Introduction to Digital health (Coursera) Coursera
Imperial College London

Introduction to Digital health (Coursera)

Embark on a journey into the future of healthcare with 'Introduction to Digital Health'. This course is designed for those eager to understand how digital technologies are revolutionizing medicine and improving patient care. From learning health systems to electronic health records, delve into the world of mobile applications, wearable devices, telemedicine, AI, and big data analytics. Gain insights into their impact on public health responses, especially in managing COVID-19.

Sep 21st 2026
4 Weeks
Custom and Distributed Training with TensorFlow (Coursera) Coursera
DeepLearning.AI

Custom and Distributed Training with TensorFlow (Coursera)

Dive into Custom and Distributed Training with TensorFlow, a comprehensive course designed to equip you with advanced skills in building, optimizing, and scaling machine learning models. From understanding Tensor objects and eager vs graph modes to creating custom training loops and leveraging distributed training strategies for faster processing and larger model capabilities, this course offers a hands-on approach to mastering TensorFlow's powerful features.

Sep 21st 2026
4 Weeks