Machine Learning

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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.

Nov 16th 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.

Nov 16th 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.

Nov 16th 2026
4 Weeks
Custom Models, Layers, and Loss Functions with TensorFlow (Coursera) Coursera
DeepLearning.AI

Custom Models, Layers, and Loss Functions with TensorFlow (Coursera)

Dive into the world of advanced TensorFlow techniques with 'Custom Models, Layers, and Loss Functions with TensorFlow'. This course will equip you with the skills to build custom machine learning models, craft unique layers, and develop tailored loss functions. Whether you're a data scientist aiming to enhance your neural network's capabilities or an aspiring developer looking to delve deeper into TensorFlow's potential, this course offers a pathway to mastering complex model architectures.

Nov 16th 2026
5-12 Weeks
Data Science Project: MATLAB for the Real World (Coursera) Coursera
MathWorks

Data Science Project: MATLAB for the Real World (Coursera)

Dive deep into practical data science with Coursera's 'Data Science Project: MATLAB for the Real World.' In this comprehensive course, you'll apply all the skills acquired throughout the Practical Data Science with MATLAB specialization to tackle real-world problems. Choose your own dataset and embark on a journey of exploration, preparation, analysis, modeling, evaluation, and communication to answer key questions using MATLAB.

Nov 16th 2026
4 Weeks
Build Decision Trees, SVMs, and Artificial Neural Networks (Coursera) Coursera
CertNexus

Build Decision Trees, SVMs, and Artificial Neural Networks (Coursera)

Dive into the world of advanced machine learning techniques with our course on Decision Trees, SVMs, and Artificial Neural Networks. Learn how to apply these powerful tools to solve regression and classification problems efficiently. Whether you're a beginner or looking to enhance your expertise, this course will equip you with the skills needed to make informed decisions in your machine learning projects.

Nov 16th 2026
5-12 Weeks