Machine Learning

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Practical Predictive Analytics: Models and Methods (Coursera) Coursera
University of Washington

Practical Predictive Analytics: Models and Methods (Coursera)

Dive into the world of data science with 'Practical Predictive Analytics: Models and Methods'. This course is designed for those eager to learn how to design statistical experiments, analyze results using advanced techniques, and avoid common misinterpretations in big data. Gain a core understanding of practical machine learning methods and apply them to real-world problems.

Sep 14th 2026
4 Weeks
Machine Learning: Clustering & Retrieval (Coursera) Coursera
University of Washington

Machine Learning: Clustering & Retrieval (Coursera)

Dive into the world of Machine Learning with our 'Clustering & Retrieval' course. Explore techniques for finding similar documents, efficient retrieval methods, and uncovering new topics in vast datasets. Perfect for data enthusiasts and professionals seeking to enhance their skills in document analysis and information retrieval.

Sep 14th 2026
5-12 Weeks
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud (Coursera) Coursera
University of Illinois at Urbana-Champaign

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud (Coursera)

Explore the transformative power of cloud computing as you delve deeper into its applications, particularly focusing on big data analysis and leveraging cloud-based solutions. This advanced course is designed for those who want to harness the potential of cloud computing to revolutionize their approach to handling and utilizing vast amounts of information.

Sep 14th 2026
4 Weeks
Probabilistic Graphical Models 2: Inference (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 2: Inference (Coursera)

Dive into the world of Probabilistic Graphical Models 2: Inference, an advanced online course designed for those who want to delve deeper into decoding complex joint probability distributions. This course will equip you with essential skills in statistical modeling and machine learning, using techniques that sit at the intersection of statistics and computer science.

Sep 14th 2026
5-12 Weeks
Recommender Systems: Evaluation and Metrics (Coursera) Coursera
University of Minnesota

Recommender Systems: Evaluation and Metrics (Coursera)

Dive into the world of Recommender Systems with this Coursera course designed to teach you the evaluation techniques and metrics crucial for optimizing recommendation algorithms. From measuring prediction accuracy to assessing rank accuracy and decision-support, this course will equip you with a deep understanding of how different factors like diversity and serendipity impact user experience and business success.

Sep 14th 2026
4 Weeks