Machine Learning

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Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Dive into the world of Probabilistic Graphical Models 1: Representation, a Coursera course designed for those eager to understand how to represent complex joint probability distributions. This course explores the intersection of statistics and computer science, teaching you essential concepts from probability theory, graph algorithms, and machine learning that are crucial in developing state-of-the-art methods across numerous applications.

Aug 3rd 2026
5-12 Weeks
Text Retrieval and Search Engines (Coursera) Coursera
University of Illinois at Urbana-Champaign

Text Retrieval and Search Engines (Coursera)

Dive into the world of Text Retrieval and Search Engines with our expert-led course designed for those interested in mastering the retrieval and analysis of natural language text data. From web pages to social media posts, learn how to efficiently search, retrieve, and interpret human-generated content.

Aug 3rd 2026
5-12 Weeks
Machine Learning With Big Data (Coursera) Coursera
University of California, San Diego

Machine Learning With Big Data (Coursera)

Discover the secrets of machine learning and big data analysis in this comprehensive online course. Gain insights into leveraging massive datasets, applying sophisticated algorithms, and making informed decisions based on data-driven models. Perfect for professionals looking to harness the potential of big data.

Aug 3rd 2026
5-12 Weeks
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.

Aug 3rd 2026
4 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.

Aug 3rd 2026
4 Weeks
Probabilistic Graphical Models 3: Learning (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 3: Learning (Coursera)

Explore advanced concepts in Probabilistic Graphical Models (PGMs) with 'Probabilistic Graphical Models 3: Learning'. This course delves deep into learning techniques for complex domains, enabling you to encode sophisticated joint distributions over numerous interacting variables. Gain insights into state-of-the-art methods and apply them across various fields such as healthcare, image processing, speech recognition, and natural language processing.

Aug 3rd 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.

Aug 3rd 2026
4 Weeks